{
 "title": "AI Fault Line: researcher profiles",
 "source": "https://aifaultline.com",
 "generated_at": "2026-11-01T11:07:42.370Z",
 "count": 66,
 "notes": "Published records only. Summaries, explainers and researcher bios are AI-written (see each record's labels); positions are documented positions with cited evidence. Keep source links when reusing, and give position counts with their denominator. Methods: https://aifaultline.com/about/",
 "records": [
  {
   "bio_md": "Associate Professor in the Management of Organizations and Entrepreneurship and Innovation groups at the Haas School of Business, University of California, Berkeley. Director of the Data Innovation and AI Lab and a faculty research fellow at the National Bureau of Economic Research. PhD from the MIT Sloan School of Management. Author of research on data, digitization, and generative AI, including 'Digitization and the Market for Physical Works: Evidence from the Google Books Project' and 'Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence'. Signed the wemustactnow.ai open letter.",
   "id": "abhishek-nagaraj",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
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     "url": "https://www.abhishekn.com/"
    },
    {
     "kind": "other",
     "url": "https://haas.berkeley.edu/faculty/nagaraj-abhishek/"
    }
   ],
   "name": "Abhishek Nagaraj",
   "notable_works": [
    {
     "paper_key": "doi:10.1257/pol.20210702"
    },
    {
     "paper_key": "doi:10.1086/732852"
    },
    {
     "paper_key": "doi:10.3386/w33598"
    }
   ],
   "role": "Associate Professor, Haas School of Business, UC Berkeley",
   "sources": [
    {
     "title": "Abhishek Nagaraj — UC Berkeley Haas faculty profile",
     "url": "https://haas.berkeley.edu/faculty/nagaraj-abhishek/"
    },
    {
     "title": "About — Abhishek Nagaraj",
     "url": "https://www.abhishekn.com/about"
    },
    {
     "paper_key": "doi:10.1257/pol.20210702",
     "published": false,
     "title": "Digitization and the Market for Physical Works: Evidence from the Google Books Project",
     "url": "https://doi.org/10.1257/pol.20210702"
    },
    {
     "paper_key": "doi:10.1086/732852",
     "published": false,
     "title": "Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence",
     "url": "https://doi.org/10.1086/732852"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w32474",
       "published": false,
       "title": "Old Moats for New Models: Openness, Control, and Competition in Generative AI",
       "url": "https://doi.org/10.3386/w32474"
      },
      {
       "paper_key": "doi:10.1086/732852",
       "published": false,
       "title": "Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence",
       "url": "https://doi.org/10.1086/732852"
      }
     ],
     "rationale": "His co-authored work on generative AI competition argues that tight control of complementary assets could concentrate the market and suggests policy interventions forcing shared access to those assets may help preserve competition; it does not address AI regulation broadly.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/abhishek-nagaraj/"
  },
  {
   "bio_md": "Holds the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management. Founder of the Creative Destruction Lab (2012) and co-founder of NEXT Canada. Co-author, with Joshua Gans and Avi Goldfarb, of 'Prediction Machines: The Simple Economics of Artificial Intelligence' (2018) and 'Power and Prediction: The Disruptive Economics of Artificial Intelligence' (2022). Co-author of 'A Research Agenda for the Economics of Transformative AI' (NBER, 2025). Appointed to the Order of Canada in 2022. Signed the wemustactnow.ai open letter.",
   "id": "ajay-agrawal",
   "labels": [
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   ],
   "links": [
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     "url": "https://agrawal.ca/"
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     "url": "https://en.wikipedia.org/wiki/Ajay_Agrawal"
    },
    {
     "kind": "other",
     "url": "https://www.rotman.utoronto.ca/the-rotman-experience/our-community/people/agrawal-ajay/"
    }
   ],
   "name": "Ajay Agrawal",
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    {
     "title": "Prediction Machines: The Simple Economics of Artificial Intelligence",
     "url": "https://store.hbr.org/product/prediction-machines-updated-and-expanded-the-simple-economics-of-artificial-intelligence/10598"
    },
    {
     "title": "Power and Prediction: The Disruptive Economics of Artificial Intelligence",
     "url": "https://store.hbr.org/product/power-and-prediction-the-disruptive-economics-of-artificial-intelligence/10580"
    },
    {
     "paper_key": "doi:10.3386/w34256"
    }
   ],
   "role": "Economist, Rotman School of Management, University of Toronto",
   "sources": [
    {
     "title": "Ajay Agrawal - Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Ajay_Agrawal"
    },
    {
     "title": "Ajay Agrawal - Rotman School of Management, University of Toronto",
     "url": "https://www.rotman.utoronto.ca/the-rotman-experience/our-community/people/agrawal-ajay/"
    },
    {
     "paper_key": "doi:10.3386/w34256",
     "published": false,
     "title": "A Research Agenda for the Economics of Transformative AI",
     "url": "https://doi.org/10.3386/w34256"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34034",
       "published": false,
       "title": "The Economics of Bicycles for the Mind",
       "url": "https://doi.org/10.3386/w34034"
      },
      {
       "paper_key": "doi:10.7208/chicago/9780226613475.001.0001",
       "published": false,
       "title": "The Economics of Artificial Intelligence",
       "url": "https://doi.org/10.7208/chicago/9780226613475.001.0001"
      }
     ],
     "rationale": "Views AI as a drop in the cost of prediction — a general-purpose 'bicycle for the mind' with large productivity upside.",
     "stance": "agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w31767",
       "published": false,
       "title": "The Turing Transformation: Artificial Intelligence, Intelligence Augmentation, and Skill Premiums",
       "url": "https://doi.org/10.3386/w31767"
      },
      {
       "paper_key": "doi:10.3386/w34781",
       "published": false,
       "title": "Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model",
       "url": "https://doi.org/10.3386/w34781"
      }
     ],
     "rationale": "Argues for a 'Turing Transformation' in which AI augments rather than replaces workers, raising demand for human skills.",
     "stance": "lean_disagree"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w31767",
       "published": false,
       "title": "The Turing Transformation: Artificial Intelligence, Intelligence Augmentation, and Skill Premiums",
       "url": "https://doi.org/10.3386/w31767"
      }
     ],
     "rationale": "Suggests augmenting AI could compress skill premiums by leveling expertise — but notes automation-heavy paths do the opposite.",
     "stance": "mixed"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1086/699935",
       "published": false,
       "title": "Economic Policy for Artificial Intelligence",
       "url": "https://doi.org/10.1086/699935"
      }
     ],
     "rationale": "His policy work weighs supporting AI diffusion against premature restriction — policy matters, but heavy-handed regulation has costs.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/ajay-agrawal/"
  },
  {
   "bio_md": "Professor of Organization & Management at Emory University's Goizueta Business School, where he holds a chair in entrepreneurship, and a research associate at the National Bureau of Economic Research. Previously on the faculty of the Georgia Institute of Technology's Scheller College of Business from 2009 to 2026. PhD from the University of Toronto's Rotman School of Management. His research covers the economics of innovation — how ideas are produced and spread across people, firms, and regions — including how artificial intelligence affects scientific research, with work including 'Artificial intelligence and scientific discovery: a model of prioritized search' and 'Roads and Innovation'. Signed the wemustactnow.ai open letter.",
   "id": "alexander-oettl",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://oettl.org/"
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    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=zIB44gEAAAAJ"
    },
    {
     "kind": "other",
     "url": "https://www.nber.org/people/alexander_oettl"
    }
   ],
   "name": "Alexander Oettl",
   "notable_works": [
    {
     "paper_key": "doi:10.1016/j.respol.2024.104989"
    },
    {
     "paper_key": "doi:10.1162/rest_a_00619"
    },
    {
     "paper_key": "doi:10.3386/w34781"
    }
   ],
   "role": "Economist, Goizueta Business School, Emory University",
   "sources": [
    {
     "title": "Alexander Oettl — homepage (Goizueta chair, Emory, NBER research associate)",
     "url": "https://oettl.org/"
    },
    {
     "title": "Alexander Oettl | NBER (Emory University, Goizueta Business School)",
     "url": "https://www.nber.org/people/alexander_oettl"
    },
    {
     "title": "Alexander Oettl LinkedIn post on leaving Georgia Tech after 17 years and joining Emory on June 1, 2026",
     "url": "https://www.linkedin.com/posts/aoettl_in-2009-i-left-university-of-toronto-rotman-activity-7478203174932119554-1z4Z"
    },
    {
     "paper_key": "doi:10.1016/j.respol.2024.104989",
     "published": false,
     "title": "Artificial intelligence and scientific discovery: a model of prioritized search",
     "url": "https://doi.org/10.1016/j.respol.2024.104989"
    },
    {
     "paper_key": "doi:10.1162/rest_a_00619",
     "published": false,
     "title": "Roads and Innovation",
     "url": "https://doi.org/10.1162/rest_a_00619"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34781",
       "published": false,
       "title": "Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model",
       "url": "https://doi.org/10.3386/w34781"
      }
     ],
     "rationale": "Co-authored task-based models in which AI enhances worker productivity without automating tasks, citing evidence that contemporary AI is more often used to augment workers than to replace them.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/alexander-oettl/"
  },
  {
   "bio_md": "Professor of Corporate Management in the Department of Management and Technology at Bocconi University, Milan, working on innovation and strategic management. Co-author of 'A Scientific Approach to Entrepreneurial Decision Making: Evidence from a Randomized Control Trial', 'Building High-Tech Clusters: Silicon Valley and Beyond' and 'Markets for Technology'. Signed the wemustactnow.ai open letter.",
   "id": "alfonso-gambardella",
   "labels": [
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   ],
   "links": [
    {
     "kind": "other",
     "url": "https://mgmt-tech.unibocconi.eu/faculty/alfonso-gambardella"
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   ],
   "name": "Alfonso Gambardella",
   "notable_works": [
    {
     "paper_key": "doi:10.1287/mnsc.2018.3249"
    },
    {
     "paper_key": "doi:10.1017/cbo9780511802911"
    },
    {
     "paper_key": "doi:10.1093/oxfordhb/9780199694945.013.024"
    }
   ],
   "role": "Professor of Corporate Management, Bocconi University",
   "sources": [
    {
     "title": "Alfonso Gambardella - Bocconi Department of Management and Technology (Professor of Corporate Management)",
     "url": "https://mgmt-tech.unibocconi.eu/faculty/alfonso-gambardella"
    },
    {
     "title": "Alfonso Gambardella - SDA Bocconi (innovation, strategic management)",
     "url": "https://www.sdabocconi.it/en/faculty-research/faculty-knowledge/alfonso-gambardella/"
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    {
     "paper_key": "doi:10.1287/mnsc.2018.3249",
     "published": false,
     "title": "A Scientific Approach to Entrepreneurial Decision Making: Evidence from a Randomized Control Trial",
     "url": "https://doi.org/10.1287/mnsc.2018.3249"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/alfonso-gambardella/"
  },
  {
   "bio_md": "Faculty member in marketing at the Boston University Questrom School of Business and an affiliate of the Boston University Economics Department. Studies the economics of AI, the design of digital platforms, and quantitative marketing. Co-author of 'The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry', 'News from Generative Artificial Intelligence Is Believed Less', and 'MarketBench: Evaluating AI Agents as Market Participants'. Signed the wemustactnow.ai open letter.",
   "id": "andrey-fradkin",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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     "url": "https://andreyfradkin.com/"
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     "url": "https://www.bu.edu/questrom/profiles/andrey-fradkin/"
    }
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   "name": "Andrey Fradkin",
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     "paper_key": "doi:10.1257/aer.20180260"
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    {
     "paper_key": "doi:10.1145/3531146.3533077"
    },
    {
     "paper_key": "doi:10.48550/arxiv.2604.23897"
    }
   ],
   "role": "Marketing faculty, Boston University Questrom School of Business",
   "sources": [
    {
     "title": "Andrey Fradkin - Boston University Questrom (marketing faculty; affiliate of BU Economics)",
     "url": "https://www.bu.edu/questrom/profiles/andrey-fradkin/"
    },
    {
     "title": "Andrey Fradkin - homepage (studies the economics of AI, digital platform design, quantitative marketing)",
     "url": "https://andreyfradkin.com/"
    },
    {
     "paper_key": "doi:10.1257/aer.20180260",
     "published": false,
     "title": "The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry",
     "url": "https://doi.org/10.1257/aer.20180260"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/andrey-fradkin/"
  },
  {
   "bio_md": "Professor of Labor Economics at Tilburg University and Instituut Gak endowed professor at Utrecht University School of Economics, where she was appointed Professor of Employment and Inequality in 2018. Author of work on technology and labor markets, including 'New Frontiers: The Origins and Content of New Work, 1940-2018' (with David Autor and co-authors) and 'What Happens to Workers at Firms that Automate?'. Co-recipient of the European Economic Association's 2024 Role Models in Economics Award. PhD in economics from the University of Leuven (2012). Signed the wemustactnow.ai open letter.",
   "id": "anna-salomons",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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     "kind": "homepage",
     "url": "https://www.tilburguniversity.edu/staff/a-m-salomons"
    },
    {
     "kind": "other",
     "url": "https://www.iza.org/person/27753/anna-salomons"
    },
    {
     "kind": "other",
     "url": "https://www.uu.nl/staff/AMSalomons"
    }
   ],
   "name": "Anna Salomons",
   "notable_works": [
    {
     "paper_key": "doi:10.1093/qje/qjae008"
    },
    {
     "paper_key": "doi:10.1162/rest_a_01284"
    },
    {
     "paper_key": "doi:10.1146/annurev-economics-092325-041649"
    }
   ],
   "role": "Economist, Tilburg University and Utrecht University",
   "sources": [
    {
     "title": "Anna Salomons - IZA Institute of Labor Economics profile",
     "url": "https://www.iza.org/person/27753/anna-salomons"
    },
    {
     "title": "Anna Salomons appointed as Professor of Employment and Inequality - Utrecht University",
     "url": "https://www.uu.nl/en/news/anna-salomons-appointed-as-professor-of-employment-and-inequality"
    },
    {
     "title": "Anna Salomons receives Role Models in Economics Award - Utrecht University",
     "url": "https://www.uu.nl/en/news/anna-salomons-receives-role-models-in-economics-award-for-her-scholarly-work-and-contribution-to-the"
    },
    {
     "paper_key": "doi:10.1093/qje/qjae008",
     "published": false,
     "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
     "url": "https://doi.org/10.1093/qje/qjae008"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24871",
       "published": false,
       "title": "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share",
       "url": "https://doi.org/10.3386/w24871"
      },
      {
       "paper_key": "doi:10.1093/qje/qjae008",
       "published": false,
       "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
       "url": "https://doi.org/10.1093/qje/qjae008"
      }
     ],
     "rationale": "Finds automation has displaced labor from the income share it once earned, even as employment kept growing — and that 'new work' offsets matter.",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24871",
       "published": false,
       "title": "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share",
       "url": "https://doi.org/10.3386/w24871"
      }
     ],
     "rationale": "Documents automation eroding the labor share of income across countries.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/anna-salomons/"
  },
  {
   "bio_md": "Economist at the University of Virginia. Author of work on the macroeconomics of artificial intelligence, including 'Artificial Intelligence and Its Implications for Income Distribution and Unemployment' (with Joseph Stiglitz), and of research on capital flows and financial stability. Signed the wemustactnow.ai open letter.",
   "id": "anton-korinek",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [],
   "name": "Anton Korinek",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w24174"
    },
    {
     "paper_key": "doi:10.1257/aer.100.2.403"
    }
   ],
   "role": "Economist, University of Virginia",
   "sources": [
    {
     "paper_key": "doi:10.3386/w24174",
     "published": false,
     "title": "Artificial Intelligence and Its Implications for Income Distribution and Unemployment",
     "url": "https://doi.org/10.3386/w24174"
    },
    {
     "paper_key": "doi:10.1257/aer.100.2.403",
     "published": false,
     "title": "Excessive Volatility in Capital Flows: A Pigouvian Taxation Approach",
     "url": "https://doi.org/10.1257/aer.100.2.403"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w35155",
       "published": false,
       "title": "When Does Automating AI Research Produce Explosive Growth? Feedback Loops in Innovation Networks",
       "url": "https://doi.org/10.3386/w35155"
      },
      {
       "paper_key": "doi:10.3386/w34256",
       "published": false,
       "title": "A Research Agenda for the Economics of Transformative AI",
       "url": "https://doi.org/10.3386/w34256"
      }
     ],
     "rationale": "Works on scenarios where AI automating research produces explosive growth; treats large productivity effects as a live possibility to prepare for.",
     "stance": "agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24174",
       "published": false,
       "title": "Artificial Intelligence and Its Implications for Income Distribution and Unemployment",
       "url": "https://doi.org/10.3386/w24174"
      }
     ],
     "rationale": "His analysis of AI's implications for income distribution takes significant displacement and wage pressure seriously.",
     "stance": "lean_agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "high",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24174",
       "published": false,
       "title": "Artificial Intelligence and Its Implications for Income Distribution and Unemployment",
       "url": "https://doi.org/10.3386/w24174"
      },
      {
       "paper_key": "doi:10.3386/w28453",
       "published": false,
       "title": "Artificial Intelligence, Globalization, and Strategies for Economic Development",
       "url": "https://doi.org/10.3386/w28453"
      },
      {
       "paper_key": "doi:10.1093/oso/9780198799580.003.0019",
       "published": false,
       "title": "The Future of Inequality",
       "url": "https://doi.org/10.1093/oso/9780198799580.003.0019"
      }
     ],
     "rationale": "A core theme of his research: without policy, advanced AI concentrates income and worsens distribution, in advanced and developing economies.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34994",
       "published": false,
       "title": "Steering Technological Progress",
       "url": "https://doi.org/10.3386/w34994"
      },
      {
       "quote": "Signed the wemustactnow.ai open letter urging policymakers to prepare for AI's economic impact",
       "url": "https://wemustactnow.ai"
      }
     ],
     "rationale": "Argues society should actively steer technological progress rather than accept its default direction.",
     "stance": "agree"
    },
    {
     "claim": "pace",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w35155",
       "published": false,
       "title": "When Does Automating AI Research Produce Explosive Growth? Feedback Loops in Innovation Networks",
       "url": "https://doi.org/10.3386/w35155"
      },
      {
       "paper_key": "doi:10.3386/w34256",
       "published": false,
       "title": "A Research Agenda for the Economics of Transformative AI",
       "url": "https://doi.org/10.3386/w34256"
      }
     ],
     "rationale": "Studies transformative AI timelines seriously enough to model explosive-growth feedback loops and urges preparing now.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/anton-korinek/"
  },
  {
   "bio_md": "Assistant Professor of Management Science and Engineering at Stanford University, with core faculty roles at Stanford's Center for Work, Technology, and Organization and the Stanford Technology Ventures Program. PhD from the MIT Sloan School of Management (2018); previously on the faculty of McGill University. Author of research on technology, work, and organizations, including 'Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality' and 'The Experimental Hand: How Platform-Based Experimentation Reconfigures Worker Autonomy'. Signed the wemustactnow.ai open letter.",
   "id": "arvind-karunakaran",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://engineering.stanford.edu/people/arvind-karunakaran"
    },
    {
     "kind": "other",
     "url": "https://digitaleconomy.stanford.edu/people/arvind-karunakaran/"
    }
   ],
   "name": "Arvind Karunakaran",
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    {
     "paper_key": "doi:10.5465/annals.2023.0230"
    },
    {
     "paper_key": "doi:10.5465/amj.2022.0638"
    },
    {
     "paper_key": "doi:10.5465/annals.2022.0090"
    }
   ],
   "role": "Management scholar, Stanford University",
   "sources": [
    {
     "title": "Arvind Karunakaran — Stanford School of Engineering profile",
     "url": "https://engineering.stanford.edu/people/arvind-karunakaran"
    },
    {
     "title": "Arvind Karunakaran joins MS&E as Assistant Professor — Stanford MS&E news",
     "url": "https://msande.stanford.edu/news/arvind-karunakaran-joins-mse-assistant-professor"
    },
    {
     "paper_key": "doi:10.5465/annals.2023.0230",
     "published": false,
     "title": "Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality",
     "url": "https://doi.org/10.5465/annals.2023.0230"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.5465/annals.2023.0230",
       "published": false,
       "title": "Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality",
       "url": "https://doi.org/10.5465/annals.2023.0230"
      },
      {
       "quote": "Choices made during model design, implementation, or use and adaptation can ripple out to exacerbate or reduce workplace inequality.",
       "url": "https://insight.kellogg.northwestern.edu/article/slowing-ais-domino-effect-on-workplace-inequality"
      }
     ],
     "rationale": "His co-authored 2025 review of research on AI and workplace inequality proposes an 'inequality cascade' in which choices in AI design, implementation and use can amplify encoded, evaluative, wage and relational inequality, and discusses mechanisms to mitigate it.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/arvind-karunakaran/"
  },
  {
   "bio_md": "Professor of computer science at Princeton University and director of Princeton's Center for Information Technology Policy. Co-author, with Sayash Kapoor, of the book 'AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference' (Princeton University Press, 2024) and a newsletter of the same name. Co-author of the textbook 'Bitcoin and Cryptocurrency Technologies' and of a textbook on fairness in machine learning. Led the Princeton Web Transparency and Accountability Project on online tracking, and is a co-author of 'Leakage and the reproducibility crisis in machine-learning-based science'. Signed the wemustactnow.ai open letter.",
   "id": "arvind-narayanan",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.cs.princeton.edu/~arvindn/"
    },
    {
     "kind": "other",
     "url": "https://citp.princeton.edu/people/arvind-narayanan"
    }
   ],
   "name": "Arvind Narayanan",
   "notable_works": [
    {
     "title": "AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference",
     "url": "https://www.princeton.edu/news/2024/12/18/ai-snake-oil-conversation-princeton-ai-experts-arvind-narayanan-and-sayash-kapoor"
    },
    {
     "paper_key": "doi:10.1016/j.patter.2023.100804"
    },
    {
     "paper_key": "doi:10.1145/2976749.2978313"
    }
   ],
   "role": "Computer scientist, Princeton University",
   "sources": [
    {
     "title": "Arvind Narayanan — Princeton University homepage",
     "url": "https://www.cs.princeton.edu/~arvindn/"
    },
    {
     "title": "'AI Snake Oil': A conversation with Princeton AI experts Arvind Narayanan and Sayash Kapoor",
     "url": "https://www.princeton.edu/news/2024/12/18/ai-snake-oil-conversation-princeton-ai-experts-arvind-narayanan-and-sayash-kapoor"
    },
    {
     "paper_key": "doi:10.1016/j.patter.2023.100804",
     "published": false,
     "title": "Leakage and the reproducibility crisis in machine-learning-based science",
     "url": "https://doi.org/10.1016/j.patter.2023.100804"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.64896/jugx9995",
       "published": false,
       "title": "AI Won’t Automatically Make Legal Services Cheaper",
       "url": "https://doi.org/10.64896/jugx9995"
      }
     ],
     "rationale": "Prominent AI-hype skeptic ('AI Snake Oil'): argues claimed efficiency gains often fail to materialize automatically in real deployments.",
     "stance": "lean_disagree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1126/science.adp1848",
       "published": false,
       "title": "Considerations for governing open foundation models",
       "url": "https://doi.org/10.1126/science.adp1848"
      }
     ],
     "rationale": "Supports evidence-based governance but pushes back on restrictive rules driven by speculative risks, e.g. defending open foundation models.",
     "stance": "mixed"
    },
    {
     "claim": "pace",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.64896/jugx9995",
       "published": false,
       "title": "AI Won’t Automatically Make Legal Services Cheaper",
       "url": "https://doi.org/10.64896/jugx9995"
      }
     ],
     "rationale": "Argues AI diffuses like a normal technology — slowly, unevenly, and with institutional friction — rather than transforming the economy within a few years.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/arvind-narayanan/"
  },
  {
   "bio_md": "Silverman (1968) Family Career Development Assistant Professor of Economics at MIT, with research in econometrics focused on applications of machine learning and AI. Co-author of 'A More Credible Approach to Parallel Trends', 'Algorithmic Fairness' and 'An Economic Approach to Regulating Algorithms'. Signed the wemustactnow.ai open letter.",
   "id": "ashesh-rambachan",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "other",
     "url": "https://economics.mit.edu/people/faculty/ashesh-rambachan"
    },
    {
     "kind": "homepage",
     "url": "https://asheshrambachan.github.io/"
    }
   ],
   "name": "Ashesh Rambachan",
   "notable_works": [
    {
     "paper_key": "doi:10.1093/restud/rdad018"
    },
    {
     "paper_key": "doi:10.1257/pandp.20181018"
    },
    {
     "paper_key": "doi:10.3386/w27111"
    }
   ],
   "role": "Assistant Professor of Economics, MIT",
   "sources": [
    {
     "title": "Ashesh Rambachan - MIT Economics (Assistant Professor; econometrics, machine learning and AI)",
     "url": "https://economics.mit.edu/people/faculty/ashesh-rambachan"
    },
    {
     "title": "Ashesh Rambachan - homepage (Silverman Family Career Development Assistant Professor of Economics)",
     "url": "https://asheshrambachan.github.io/"
    },
    {
     "paper_key": "doi:10.1093/restud/rdad018",
     "published": false,
     "title": "A More Credible Approach to Parallel Trends",
     "url": "https://doi.org/10.1093/restud/rdad018"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/ashesh-rambachan/"
  },
  {
   "bio_md": "Director of Research at the Harvard Skills Lab, part of the Project on Workforce at Harvard; his research covers the economics of skill development, education and labor markets. Received a PhD in Education from Harvard in 2021. Co-author of 'The ABCs of Who Benefits from Working with AI: Ability, Beliefs, and Calibration', a controlled experiment on who gains from AI assistance. Signed the wemustactnow.ai open letter.",
   "id": "ben-weidmann",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.benweidmann.org/"
    },
    {
     "kind": "other",
     "url": "https://pw.hks.harvard.edu/post/the-skills-lab"
    }
   ],
   "name": "Ben Weidmann",
   "notable_works": [
    {
     "paper_key": "doi:10.1287/mnsc.2024.08994"
    }
   ],
   "role": "Director of Research, Harvard Skills Lab",
   "sources": [
    {
     "title": "Ben Weidmann - Miratrix C.A.R.E.S. Lab (Education PhD '21; Director of Research, Harvard Skills Lab)",
     "url": "https://cares.gse.harvard.edu/people/ben-weidmann"
    },
    {
     "title": "The Skills Lab - Project on Workforce, Harvard (research on skill development, education and labor markets)",
     "url": "https://pw.hks.harvard.edu/post/the-skills-lab"
    },
    {
     "paper_key": "doi:10.1287/mnsc.2024.08994",
     "published": false,
     "title": "The ABCs of Who Benefits from Working with AI: Ability, Beliefs, and Calibration",
     "url": "https://doi.org/10.1287/mnsc.2024.08994"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-10-19",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.1287/mnsc.2024.08994",
       "published": false,
       "title": "The ABCs of Who Benefits from Working with AI: Ability, Beliefs, and Calibration",
       "url": "https://doi.org/10.1287/mnsc.2024.08994"
      }
     ],
     "rationale": "Co-authored experiment finds AI assistance improves performance more for people with low baseline ability and reduces performance inequality. This concerns task performance in an experiment, not income or wealth inequality.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/ben-weidmann/"
  },
  {
   "bio_md": "Professor of Economics at the London School of Economics, where he holds the Sir John Hicks Chair, and a co-editor of the American Economic Review. PhD from the University of Chicago; previously on the faculty of Princeton University. Author of work on inequality and macroeconomics, including 'Uneven Growth: Automation's Impact on Income and Wealth Inequality' and 'Monetary Policy According to HANK'. Recipient of the 2017 Bernacer Prize and the 2024 Calvo-Armengol International Prize. Signed the wemustactnow.ai open letter.",
   "id": "benjamin-moll",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://benjaminmoll.com/"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Benjamin_Moll"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=Ud7FiiEAAAAJ&hl=en"
    }
   ],
   "name": "Benjamin Moll",
   "notable_works": [
    {
     "paper_key": "doi:10.3982/ecta19417"
    },
    {
     "paper_key": "doi:10.1257/aer.20160042"
    },
    {
     "paper_key": "doi:10.1093/restud/rdab002"
    }
   ],
   "role": "Economist, London School of Economics",
   "sources": [
    {
     "title": "Benjamin Moll — homepage",
     "url": "https://benjaminmoll.com/"
    },
    {
     "title": "Benjamin Moll — Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Benjamin_Moll"
    },
    {
     "paper_key": "doi:10.3982/ecta19417",
     "published": false,
     "title": "Uneven Growth: Automation's Impact on Income and Wealth Inequality",
     "url": "https://doi.org/10.3982/ecta19417"
    },
    {
     "paper_key": "doi:10.1257/aer.20160042",
     "published": false,
     "title": "Monetary Policy According to HANK",
     "url": "https://doi.org/10.1257/aer.20160042"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3982/ecta19417",
       "published": false,
       "title": "Uneven Growth: Automation's Impact on Income and Wealth Inequality",
       "url": "https://doi.org/10.3982/ecta19417"
      }
     ],
     "rationale": "Co-authored theory and evidence that automation increases income and wealth inequality by raising returns to wealth, so its benefits accrue disproportionately to owners of capital.",
     "stance": "agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/benjamin-moll/"
  },
  {
   "bio_md": "Assistant Professor of Finance at Northwestern University's Kellogg School of Management. Co-author of research measuring workers' exposure to technology and AI with natural language processing, including 'New Frontiers: The Origins and Content of New Work, 1940-2018', 'Artificial Intelligence and the Labor Market', and 'Technology and Labor Markets: Past, Present, and Future'. Signed the wemustactnow.ai open letter.",
   "id": "bryan-seegmiller",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.bryanseegmiller.com/"
    },
    {
     "kind": "other",
     "url": "https://www.kellogg.northwestern.edu/academics-research/faculty/seegmiller_bryan/"
    }
   ],
   "name": "Bryan Seegmiller",
   "notable_works": [
    {
     "paper_key": "doi:10.1093/qje/qjae008"
    },
    {
     "paper_key": "doi:10.3386/w33509"
    },
    {
     "paper_key": "doi:10.3386/w34386"
    }
   ],
   "role": "Assistant Professor of Finance, Kellogg School of Management",
   "sources": [
    {
     "title": "Bryan Seegmiller - Kellogg School of Management (Assistant Professor of Finance)",
     "url": "https://www.kellogg.northwestern.edu/academics-research/faculty/seegmiller_bryan/"
    },
    {
     "paper_key": "doi:10.1093/qje/qjae008",
     "published": false,
     "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
     "url": "https://doi.org/10.1093/qje/qjae008"
    },
    {
     "paper_key": "doi:10.3386/w33509",
     "published": false,
     "title": "Artificial Intelligence and the Labor Market",
     "url": "https://doi.org/10.3386/w33509"
    },
    {
     "paper_key": "doi:10.3386/w34386",
     "published": false,
     "title": "Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation",
     "url": "https://doi.org/10.3386/w34386"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-10-19",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w33509",
       "published": false,
       "title": "Artificial Intelligence and the Labor Market",
       "url": "https://doi.org/10.3386/w33509"
      },
      {
       "paper_key": "doi:10.1093/qje/qjae008",
       "published": false,
       "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
       "url": "https://doi.org/10.1093/qje/qjae008"
      }
     ],
     "rationale": "Co-authored work finds that tasks more exposed to AI see reduced labor demand, offset in part by workers reallocating effort to other tasks; related historical work finds new job categories have counterbalanced task-displacing automation.",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-19",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34386",
       "published": false,
       "title": "Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation",
       "url": "https://doi.org/10.3386/w34386"
      },
      {
       "paper_key": "doi:10.1093/qje/qjae008",
       "published": false,
       "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
       "url": "https://doi.org/10.1093/qje/qjae008"
      }
     ],
     "rationale": "Co-authored studies document that technological change has raised demand for higher-education, higher-wage occupations and that new work since 1980 has concentrated in high-paid professional roles; these are historical patterns rather than an AI-specific forecast.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/bryan-seegmiller/"
  },
  {
   "bio_md": "Research scientist at the MIT Sloan School of Management and founder of the MIT Cryptoeconomics Lab (2017). Co-founder of Lightspark with David Marcus, co-creator of Libra/Diem, and formerly Chief Economist of the Diem Association. Served on the MIT faculty from 2013 to 2021 and was appointed a Faculty Research Fellow at the National Bureau of Economic Research in 2018. PhD from the University of Toronto's Rotman School of Management. Author of work on the economics of digital currencies and artificial intelligence, including 'Some simple economics of the blockchain' (with Joshua Gans) and 'Some Simple Economics of AGI'. Signed the wemustactnow.ai open letter.",
   "id": "christian-catalini",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.catalini.com/"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Christian_Catalini"
    },
    {
     "kind": "other",
     "url": "https://mitsloan.mit.edu/faculty/directory/christian-catalini"
    }
   ],
   "name": "Christian Catalini",
   "notable_works": [
    {
     "paper_key": "doi:10.1145/3359552"
    },
    {
     "paper_key": "title:17d20604cc8c32f2"
    },
    {
     "paper_key": "doi:10.3386/w24418"
    }
   ],
   "role": "Economist; co-founder of Lightspark; founder, MIT Cryptoeconomics Lab",
   "sources": [
    {
     "title": "Christian Catalini - Wikipedia (MIT Sloan research scientist, Cryptoeconomics Lab, Diem, Lightspark, NBER, PhD)",
     "url": "https://en.wikipedia.org/wiki/Christian_Catalini"
    },
    {
     "title": "Christian Catalini — homepage (co-founder Lightspark, co-creator Libra/Diem)",
     "url": "https://www.catalini.com/"
    },
    {
     "paper_key": "doi:10.1145/3359552",
     "published": false,
     "title": "Some simple economics of the blockchain",
     "url": "https://doi.org/10.1145/3359552"
    },
    {
     "paper_key": "title:17d20604cc8c32f2",
     "published": false,
     "title": "Some Simple Economics of AGI",
     "url": "http://arxiv.org/abs/2602.20946"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "title:17d20604cc8c32f2",
       "published": false,
       "title": "Some Simple Economics of AGI",
       "url": "http://arxiv.org/abs/2602.20946"
      }
     ],
     "rationale": "Models AI as driving the cost of measurable execution toward zero, but argues that human verification capacity, not intelligence, becomes the binding constraint on growth, with outcomes ranging from a 'hollow' to an 'augmented' economy.",
     "stance": "mixed"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "title:17d20604cc8c32f2",
       "published": false,
       "title": "Some Simple Economics of AGI",
       "url": "http://arxiv.org/abs/2602.20946"
      },
      {
       "quote": "tasks that are highly complex but purely measurable will face rapid wage compression toward the marginal cost of compute",
       "url": "https://arxiv.org/html/2602.20946v2"
      }
     ],
     "rationale": "Argues that AI absorbs labor whose output can be measured, with wages for measurable tasks compressing toward the cost of compute and entry-level apprenticeship eroding; the paper does not give a net job-creation estimate.",
     "stance": "lean_agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "the gains of AI deployment are aggressively privatized, while the systemic risks are socialized",
       "url": "https://arxiv.org/html/2602.20946v2"
      }
     ],
     "rationale": "The AGI paper argues that the gains of AI deployment are privatized while systemic risks are socialized, and that rents shift toward those who verify and underwrite AI output.",
     "stance": "lean_agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Policymakers must treat verification infrastructure and ground truth as public goods.",
       "url": "https://arxiv.org/html/2602.20946v2"
      }
     ],
     "rationale": "Calls on policymakers to treat verification infrastructure as a public good and to implement liability regimes, incident reporting and auditable execution traces.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Over the next 12 to 24 months, the global economy will be transformed",
       "url": "https://arxiv.org/html/2602.20946v2"
      }
     ],
     "rationale": "The AGI paper describes the economic transformation as rapid and imminent, stating that the global economy will be transformed over the next one to two years.",
     "stance": "agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/christian-catalini/"
  },
  {
   "bio_md": "Regius Professor of Economics at the London School of Economics and Professor of European Studies at the University of Cyprus. Co-recipient, with Peter Diamond and Dale Mortensen, of the 2010 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 'for their analysis of markets with search frictions'. Author of 'Equilibrium Unemployment Theory' and, with Mortensen, of 'Job Creation and Job Destruction in the Theory of Unemployment' (1994), a basis of the Mortensen–Pissarides matching model. Knighted in 2013 for services to economics. Co-founded the Institute for the Future of Work, a research institute on technology and employment, in 2018. Signed the wemustactnow.ai open letter.",
   "id": "christopher-pissarides",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Christopher_A._Pissarides"
    },
    {
     "kind": "other",
     "url": "https://cepr.org/about/people/christopher-pissarides"
    }
   ],
   "name": "Christopher A. Pissarides",
   "notable_works": [
    {
     "title": "Equilibrium Unemployment Theory",
     "url": "https://mitpress.mit.edu/9780262533980/equilibrium-unemployment-theory/"
    },
    {
     "title": "Job Creation and Job Destruction in the Theory of Unemployment",
     "url": "https://academic.oup.com/restud/article-abstract/61/3/397/1589192"
    },
    {
     "paper_key": "title:5fbff172ceb3aac2"
    }
   ],
   "role": "Regius Professor of Economics, London School of Economics",
   "sources": [
    {
     "title": "Christopher A. Pissarides - Wikipedia (Regius Professor at LSE, 2010 Nobel with Diamond and Mortensen, 2013 knighthood, Institute for the Future of Work co-founder)",
     "url": "https://en.wikipedia.org/wiki/Christopher_A._Pissarides"
    },
    {
     "title": "Equilibrium Unemployment Theory | The MIT Press",
     "url": "https://mitpress.mit.edu/9780262533980/equilibrium-unemployment-theory/"
    },
    {
     "title": "Job Creation and Job Destruction in the Theory of Unemployment | The Review of Economic Studies (Mortensen and Pissarides, 1994)",
     "url": "https://academic.oup.com/restud/article-abstract/61/3/397/1589192"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "I doubt there will be a new computer boom equivalent to what we had in the 1980s and 1990s",
       "url": "https://www.thestar.com.my/tech/tech-news/2026/07/07/ai-wont-bring-back-era-of-rapid-growth-says-nobel-prize-winner"
      },
      {
       "quote": "I'm very optimistic that we could increase productivity",
       "url": "https://fortune.com/2023/04/05/chatgpt-four-day-work-week-christopher-pissarides/"
      }
     ],
     "rationale": "In 2026 he said he doubts AI will bring a productivity boom comparable to the 1980s-90s computer era, citing little sign of gains so far; in 2023 he had been more optimistic about AI raising productivity.",
     "stance": "lean_disagree"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "There's just no limit to how much work humanity could generate if they really want to work",
       "url": "https://fortune.com/2023/04/05/chatgpt-four-day-work-week-christopher-pissarides/"
      }
     ],
     "rationale": "He has argued that work is not finite and that labor markets will adjust to AI over time, with upskilling as the main need, rather than predicting net job loss.",
     "stance": "lean_disagree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Left unchecked, technological transformation will further entrench regional inequalities.",
       "url": "https://researchonline.lse.ac.uk/id/eprint/130263/1/Final_Report_as_Published_24jan2025.pdf"
      }
     ],
     "rationale": "The review he led on automation and work found technological change compounding existing inequalities and creating new ones across groups and places, and called for systematic policy action.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "we suggest building practical, policy and regulatory architectures for ongoing monitoring",
       "url": "https://researchonline.lse.ac.uk/id/eprint/130263/1/Final_Report_as_Published_24jan2025.pdf"
      }
     ],
     "rationale": "The Pissarides Review final report recommends building policy and regulatory architectures to monitor automation and steer it toward better job quality; he has not called for specific AI legislation in sources found.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "It will take long to have a real impact and during that time people will adjust.",
       "url": "https://fortune.com/2023/04/05/chatgpt-four-day-work-week-christopher-pissarides/"
      },
      {
       "quote": "Given what we know now and what we see happening, I don't see the productivity growth matching those levels",
       "url": "https://www.thestar.com.my/tech/tech-news/2026/07/07/ai-wont-bring-back-era-of-rapid-growth-says-nobel-prize-winner"
      }
     ],
     "rationale": "He has said AI will take a long time to have a real impact and, in 2026, that he does not expect productivity growth to return to past boom levels.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/christopher-pissarides/"
  },
  {
   "bio_md": "Associate Research Professor at the W. P. Carey School of Business, Arizona State University, and a Digital Fellow at the Stanford Digital Economy Lab. Previously served on the White House Council of Economic Advisers and as senior adviser on the National Artificial Intelligence Institute at the U.S. Department of Veterans Affairs. Author of work on technology and labor markets, including 'The Politics of AI' and 'The labor market effect of generative artificial intelligence on artists'. Holds PhDs in economics and in management science and engineering from Stanford University. Signed the wemustactnow.ai open letter.",
   "id": "christos-makridis",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.christosmakridis.com/about"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=KKQXJ_8AAAAJ"
    },
    {
     "kind": "other",
     "url": "https://digitaleconomy.stanford.edu/person/christos-makridis/"
    }
   ],
   "name": "Christos Makridis",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w34813"
    },
    {
     "paper_key": "doi:10.1007/s10824-026-09575-3"
    }
   ],
   "role": "Economist, Arizona State University",
   "sources": [
    {
     "quote": "Senior Adviser on the National Artificial Intelligence Institute at the Department of Veterans Affairs",
     "url": "https://www.christosmakridis.com/about"
    },
    {
     "title": "About - Christos A. Makridis",
     "url": "https://www.christosmakridis.com/about"
    },
    {
     "paper_key": "doi:10.3386/w34813",
     "published": false,
     "title": "The Politics of AI",
     "url": "https://doi.org/10.3386/w34813"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.65864/ylohmsrt5g",
       "published": false,
       "title": "AI, Output, and Employment",
       "url": "https://doi.org/10.65864/ylohmsrt5g"
      },
      {
       "quote": "sectors more exposed to generative AI have experienced large gains in output, employment, and wages",
       "url": "https://www.promarket.org/2026/05/21/more-ai-exposed-industries-and-states-are-benefiting-but-results-are-heterogenous/"
      }
     ],
     "rationale": "His difference-in-differences study of U.S. administrative data finds that greater occupational AI exposure raises sector output by about 7%, with effects emerging from 2021.",
     "stance": "agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.65864/ylohmsrt5g",
       "published": false,
       "title": "AI, Output, and Employment",
       "url": "https://doi.org/10.65864/ylohmsrt5g"
      },
      {
       "quote": "AI is not destroying jobs.",
       "url": "https://www.promarket.org/2026/05/21/more-ai-exposed-industries-and-states-are-benefiting-but-results-are-heterogenous/"
      }
     ],
     "rationale": "Finds employment rises about 4% where AI complements human work and shows no significant effect where AI can perform tasks independently, and writes that AI is not destroying jobs.",
     "stance": "disagree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1080/02692171.2025.2607488",
       "published": false,
       "title": "Who owns the gains from AI? Employee ownership, tokenization, and the distribution of income",
       "url": "https://doi.org/10.1080/02692171.2025.2607488"
      },
      {
       "quote": "Workers are capturing only about 29 cents of every dollar of AI-driven output growth",
       "url": "https://www.promarket.org/2026/05/21/more-ai-exposed-industries-and-states-are-benefiting-but-results-are-heterogenous/"
      }
     ],
     "rationale": "Finds AI exposure lowers the labor share, with workers capturing only part of AI-driven output growth, and examines broad employee ownership as a way for workers to share in AI-related surplus.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/christos-makridis/"
  },
  {
   "bio_md": "Economist. Research Professor at King's College London, Senior Research Associate at the Institute for Ethics in AI at the University of Oxford, an Associate Member of Oxford's Department of Economics, and a Digital Fellow at the Stanford Digital Economy Lab. Author of 'A World Without Work: Technology, Automation and How We Should Respond' (2020) and 'Growth: A Reckoning' (2024), both runners-up for the Financial Times Business Book of the Year, and co-author, with Richard Susskind, of 'The Future of the Professions' (2015). Member of the UK government's expert panel on AI and the future of work. Signed the wemustactnow.ai open letter.",
   "id": "daniel-susskind",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.danielsusskind.com/"
    },
    {
     "kind": "other",
     "url": "https://www.kcl.ac.uk/people/daniel-susskind"
    }
   ],
   "name": "Daniel Susskind",
   "notable_works": [
    {
     "paper_key": "title:120696044077298e"
    },
    {
     "paper_key": "doi:10.4159/9780674297050"
    }
   ],
   "role": "Economist; Research Professor, King's College London",
   "sources": [
    {
     "title": "Daniel Susskind - homepage",
     "url": "https://www.danielsusskind.com/"
    },
    {
     "title": "Daniel Susskind | King's College London",
     "url": "https://www.kcl.ac.uk/people/daniel-susskind"
    },
    {
     "paper_key": "title:120696044077298e",
     "published": false,
     "title": "A World Without Work: Technology, Automation and How We Should Respond",
     "url": "https://openalex.org/W3175869592"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "There is the problem of distribution – how to share prosperity in society when our traditional way",
       "url": "https://www.gresham.ac.uk/sites/default/files/transcript/R_2026_04_19_1634_Susskind_T_FINAL.pdf"
      },
      {
       "paper_key": "title:120696044077298e",
       "published": false,
       "title": "A World Without Work: Technology, Automation and How We Should Respond",
       "url": "https://openalex.org/W3175869592"
      }
     ],
     "rationale": "His work on AI and work treats technological progress as a source of prosperity, framing the central problem as how to share that prosperity when paid work becomes a less effective channel.",
     "stance": "lean_agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.",
       "url": "https://www.gresham.ac.uk/sites/default/files/transcript/R_2026_04_19_1634_Susskind_T_FINAL.pdf"
      },
      {
       "paper_key": "doi:10.1093/oxfordhb/9780197579329.013.42",
       "published": false,
       "title": "Technological Unemployment",
       "url": "https://doi.org/10.1093/oxfordhb/9780197579329.013.42"
      }
     ],
     "rationale": "Argues that structural technological unemployment, where AI's substituting effect gradually outweighs its complementing effect, is possible though not inevitable, and that the threat of declining labor demand should be taken more seriously than before.",
     "stance": "lean_agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "There is the problem of distribution – how to share prosperity in society when our traditional way",
       "url": "https://www.gresham.ac.uk/sites/default/files/transcript/R_2026_04_19_1634_Susskind_T_FINAL.pdf"
      },
      {
       "paper_key": "title:120696044077298e",
       "published": false,
       "title": "A World Without Work: Technology, Automation and How We Should Respond",
       "url": "https://openalex.org/W3175869592"
      }
     ],
     "rationale": "Argues that if AI reduces demand for human work, a central problem becomes distributing prosperity when wages are a less effective channel, and his book proposes a larger redistributive role for the state.",
     "stance": "lean_agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.1093/oxfordhb/9780197579329.013.42",
       "published": false,
       "title": "Technological Unemployment",
       "url": "https://doi.org/10.1093/oxfordhb/9780197579329.013.42"
      },
      {
       "quote": "the growing political power of the large technology companies",
       "url": "https://www.gresham.ac.uk/sites/default/files/transcript/R_2026_04_19_1634_Susskind_T_FINAL.pdf"
      }
     ],
     "rationale": "Writes that new evidence on declining labor demand is significant for AI governance and names the growing political power of large technology companies as a problem to address.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "Is that scenario inevitable? No, of course not. But is it possible – I argue that it is.",
       "url": "https://www.gresham.ac.uk/sites/default/files/transcript/R_2026_04_19_1634_Susskind_T_FINAL.pdf"
      }
     ],
     "rationale": "Describes technological progress as gradual but relentless and treats tech leaders' five-to-ten-year forecasts of human-level AI as possible rather than inevitable, without endorsing a specific timeline.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/daniel-susskind/"
  },
  {
   "bio_md": "Economist at the University of Toronto, where he holds the J. Douglas and Ruth Grant Chair in Competitiveness and Prosperity at the Rotman School of Management. Holds a PhD from UCLA. Author of work on international trade, including 'The Case of the Missing Trade and Other Mysteries', and on AI and trade policy, including 'AI and International Trade' and 'An Economic Case for Regulating Artificial Intelligence'. Recipient of the 2016 Killam Prize in Social Sciences and a Bank of Canada Fellowship Award, and holder of a Canada Research Chair. Signed the wemustactnow.ai open letter.",
   "id": "daniel-trefler",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www-2.rotman.utoronto.ca/~dtrefler/dan.htm"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Daniel_Trefler"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=TIjyoHgAAAAJ&hl=en"
    }
   ],
   "name": "Daniel Trefler",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w24254"
    },
    {
     "paper_key": "doi:10.3138/cpp.2026-001"
    },
    {
     "paper_key": "doi:10.1093/qje/qju006"
    }
   ],
   "role": "Economist, Rotman School of Management, University of Toronto",
   "sources": [
    {
     "title": "Daniel Trefler - Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Daniel_Trefler"
    },
    {
     "title": "Daniel Trefler | Rotman School of Management, University of Toronto",
     "url": "https://www.rotman.utoronto.ca/the-rotman-experience/our-community/people/trefler-daniel/"
    },
    {
     "paper_key": "doi:10.3386/w24254",
     "published": false,
     "title": "AI and International Trade",
     "url": "https://doi.org/10.3386/w24254"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3138/cpp.2026-001",
       "published": false,
       "title": "An Economic Case for Regulating Artificial Intelligence and Implications for Policy",
       "url": "https://doi.org/10.3138/cpp.2026-001"
      }
     ],
     "rationale": "His 2026 policy paper argues that, as with earlier scalable technologies, dominant AI firms are positioned to capture large profits and political influence that aggravate social inequality, which he presents as a case for regulation.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3138/cpp.2026-001",
       "published": false,
       "title": "An Economic Case for Regulating Artificial Intelligence and Implications for Policy",
       "url": "https://doi.org/10.3138/cpp.2026-001"
      },
      {
       "paper_key": "doi:10.3386/w24254",
       "published": false,
       "title": "AI and International Trade",
       "url": "https://doi.org/10.3386/w24254"
      }
     ],
     "rationale": "Has published an economic case for regulating artificial intelligence and discusses its policy implications, alongside research on how cross-border data regulation shapes AI-driven digital trade.",
     "stance": "agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/daniel-trefler/"
  },
  {
   "bio_md": "Economist at the Massachusetts Institute of Technology. Author of work on automation and labor markets, including 'Robots and Jobs: Evidence from US Labor Markets' and 'The Race between Man and Machine', and, with Pascual Restrepo, of a task-based framework in which technology both displaces and reinstates labor. Co-recipient of the 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Signed the wemustactnow.ai open letter.",
   "id": "daron-acemoglu",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Daron_Acemoglu"
    }
   ],
   "name": "Daron Acemoglu",
   "notable_works": [
    {
     "paper_key": "doi:10.1086/705716"
    },
    {
     "paper_key": "doi:10.1257/aer.20160696"
    },
    {
     "paper_key": "doi:10.1093/epolic/eiae042"
    }
   ],
   "role": "Economist, Massachusetts Institute of Technology",
   "sources": [
    {
     "paper_key": "doi:10.1086/705716",
     "published": false,
     "title": "Robots and Jobs: Evidence from US Labor Markets",
     "url": "https://doi.org/10.1086/705716"
    },
    {
     "paper_key": "doi:10.1257/aer.20160696",
     "published": false,
     "title": "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment",
     "url": "https://doi.org/10.1257/aer.20160696"
    },
    {
     "paper_key": "doi:10.1257/jep.33.2.3",
     "published": false,
     "title": "Automation and New Tasks: How Technology Displaces and Reinstates Labor",
     "url": "https://doi.org/10.1257/jep.33.2.3"
    },
    {
     "title": "The Sveriges Riksbank Prize in Economic Sciences 2024",
     "url": "https://www.nobelprize.org/prizes/economic-sciences/2024/summary/"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "high",
     "evidence": [
      {
       "paper_key": "doi:10.1086/718327",
       "published": false,
       "title": "Artificial Intelligence and Jobs: Evidence from Online Vacancies",
       "url": "https://doi.org/10.1086/718327"
      },
      {
       "paper_key": "doi:10.3386/w24196",
       "published": false,
       "title": "Artificial Intelligence, Automation and Work",
       "url": "https://doi.org/10.3386/w24196"
      }
     ],
     "rationale": "Argues AI's macroeconomic gains will be modest relative to the hype; his empirical work finds AI's aggregate labor-market and productivity effects too small to detect so far.",
     "stance": "lean_disagree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "high",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24196",
       "published": false,
       "title": "Artificial Intelligence, Automation and Work",
       "url": "https://doi.org/10.3386/w24196"
      },
      {
       "paper_key": "doi:10.3386/w34854",
       "published": false,
       "title": "Building Pro-Worker Artificial Intelligence",
       "url": "https://doi.org/10.3386/w34854"
      }
     ],
     "rationale": "His task framework shows automation displaces labor while new tasks reinstate it — the net outcome depends on which kind of AI we build, which is why he pushes 'pro-worker AI'.",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "high",
     "evidence": [
      {
       "paper_key": "doi:10.1093/pnasnexus/pgae191",
       "published": false,
       "title": "The impact of generative artificial intelligence on socioeconomic inequalities and policy making",
       "url": "https://doi.org/10.1093/pnasnexus/pgae191"
      },
      {
       "paper_key": "doi:10.3386/w24196",
       "published": false,
       "title": "Artificial Intelligence, Automation and Work",
       "url": "https://doi.org/10.3386/w24196"
      }
     ],
     "rationale": "A central finding of his research: automation has been a major driver of wage inequality, and generative AI's benefits will likely be distributed unevenly without policy.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34854",
       "published": false,
       "title": "Building Pro-Worker Artificial Intelligence",
       "url": "https://doi.org/10.3386/w34854"
      },
      {
       "quote": "Signed the wemustactnow.ai open letter urging policymakers to prepare for AI's economic impact",
       "url": "https://wemustactnow.ai"
      }
     ],
     "rationale": "Argues technology's direction is a policy choice and calls for actively steering AI toward pro-worker uses now.",
     "stance": "agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-26",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "We find no discernible relationship between AI exposure and employment or wage growth at the occupation or industry level, however, implying that AI is currently substituting for humans in a subset of tasks but it is not yet having detectable aggregate labor market consequences.",
       "url": "https://doi.org/10.3386/w28257"
      },
      {
       "quote": "While visible at the establishment level, the aggregate impacts of AI-labor substitution on employment and wage growth in more exposed occupations and industries is currently too small to be detectable.",
       "url": "https://doi.org/10.1086/718327"
      }
     ],
     "rationale": "Co-authored vacancy evidence finds AI's aggregate labour-market effects not yet detectable.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/daron-acemoglu/"
  },
  {
   "bio_md": "Economist at the Massachusetts Institute of Technology. Author of work on technology, trade, and labor markets, including 'Why Are There Still So Many Jobs? The History and Future of Workplace Automation', 'The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market', and, with co-authors, 'The China Syndrome: Local Labor Market Effects of Import Competition in the United States'. Signed the wemustactnow.ai open letter.",
   "id": "david-autor",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/David_Autor"
    }
   ],
   "name": "David Autor",
   "notable_works": [
    {
     "paper_key": "doi:10.1257/jep.29.3.3"
    },
    {
     "paper_key": "doi:10.1257/aer.103.5.1553"
    },
    {
     "paper_key": "doi:10.1257/aer.103.6.2121"
    }
   ],
   "role": "Economist, Massachusetts Institute of Technology",
   "sources": [
    {
     "paper_key": "doi:10.1257/jep.29.3.3",
     "published": false,
     "title": "Why Are There Still So Many Jobs? The History and Future of Workplace Automation",
     "url": "https://doi.org/10.1257/jep.29.3.3"
    },
    {
     "paper_key": "doi:10.1257/aer.103.5.1553",
     "published": false,
     "title": "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market",
     "url": "https://doi.org/10.1257/aer.103.5.1553"
    },
    {
     "paper_key": "doi:10.1257/aer.103.6.2121",
     "published": false,
     "title": "The China Syndrome: Local Labor Market Effects of Import Competition in the United States",
     "url": "https://doi.org/10.1257/aer.103.6.2121"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34854",
       "published": false,
       "title": "Building Pro-Worker Artificial Intelligence",
       "url": "https://doi.org/10.3386/w34854"
      },
      {
       "paper_key": "doi:10.1073/pnas.1900949116",
       "published": false,
       "title": "Toward understanding the impact of artificial intelligence on labor",
       "url": "https://doi.org/10.1073/pnas.1900949116"
      }
     ],
     "rationale": "Sees AI as a potentially transformative tool — one that could extend expertise and raise productivity if pointed at worker-complementing uses.",
     "stance": "lean_agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1093/qje/qjae008",
       "published": false,
       "title": "New Frontiers: The Origins and Content of New Work, 1940–2018",
       "url": "https://doi.org/10.1093/qje/qjae008"
      },
      {
       "paper_key": "doi:10.1086/718327",
       "published": false,
       "title": "Artificial Intelligence and Jobs: Evidence from Online Vacancies",
       "url": "https://doi.org/10.1086/718327"
      },
      {
       "paper_key": "doi:10.1146/annurev-economics-092325-041649",
       "published": false,
       "title": "What Makes New Work Different from More Work?",
       "url": "https://doi.org/10.1146/annurev-economics-092325-041649"
      }
     ],
     "rationale": "His research shows most of today's jobs are 'new work' created since 1940 — technology has historically created more work than it destroyed, and current AI effects on aggregate employment remain undetectable.",
     "stance": "lean_disagree"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34854",
       "published": false,
       "title": "Building Pro-Worker Artificial Intelligence",
       "url": "https://doi.org/10.3386/w34854"
      },
      {
       "paper_key": "doi:10.1073/pnas.1900949116",
       "published": false,
       "title": "Toward understanding the impact of artificial intelligence on labor",
       "url": "https://doi.org/10.1073/pnas.1900949116"
      }
     ],
     "rationale": "Documented technology-driven polarization for decades, yet argues AI could rebuild middle-skill work by extending expertise — direction depends on how AI is deployed.",
     "stance": "mixed"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w34854",
       "published": false,
       "title": "Building Pro-Worker Artificial Intelligence",
       "url": "https://doi.org/10.3386/w34854"
      },
      {
       "quote": "Signed the wemustactnow.ai open letter urging policymakers to prepare for AI's economic impact",
       "url": "https://wemustactnow.ai"
      }
     ],
     "rationale": "Argues for actively building pro-worker AI rather than leaving the direction of the technology to default incentives.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-26",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "We find no discernible relationship between AI exposure and employment or wage growth at the occupation or industry level, however, implying that AI is currently substituting for humans in a subset of tasks but it is not yet having detectable aggregate labor market consequences.",
       "url": "https://doi.org/10.3386/w28257"
      },
      {
       "quote": "While visible at the establishment level, the aggregate impacts of AI-labor substitution on employment and wage growth in more exposed occupations and industries is currently too small to be detectable.",
       "url": "https://doi.org/10.1086/718327"
      }
     ],
     "rationale": "Co-authored vacancy evidence finds AI's aggregate labour-market effects not yet detectable.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/david-autor/"
  },
  {
   "bio_md": "Professor in the Department of Economics at the University of Zurich, holder of a UBS Foundation professorship in Economics of Innovation and Entrepreneurship; previously assistant professor at INSEAD. Author of work on automation, innovation, and inequality, including 'The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality' and 'Induced Automation Innovation: Evidence from Firm-Level Patent Data'. Has also published on directed technical change and climate policy. PhD in economics from Harvard University (2012). Signed the wemustactnow.ai open letter.",
   "id": "david-hemous",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.econ.uzh.ch/en/people/faculty/hemous.html"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=TKcKIfIAAAAJ"
    },
    {
     "kind": "other",
     "url": "https://bse.eu/people/hemous-david"
    }
   ],
   "name": "David Hémous",
   "notable_works": [
    {
     "paper_key": "doi:10.1257/mac.20160164"
    },
    {
     "paper_key": "doi:10.1086/734778"
    }
   ],
   "role": "Economist, University of Zurich",
   "sources": [
    {
     "title": "David Hemous - University of Zurich Department of Economics faculty",
     "url": "https://www.econ.uzh.ch/en/people/faculty/hemous.html"
    },
    {
     "title": "David Hemous - Barcelona School of Economics profile",
     "url": "https://bse.eu/people/hemous-david"
    },
    {
     "paper_key": "doi:10.1257/mac.20160164",
     "published": false,
     "title": "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality",
     "url": "https://doi.org/10.1257/mac.20160164"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1257/mac.20160164",
       "published": false,
       "title": "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality",
       "url": "https://doi.org/10.1257/mac.20160164"
      },
      {
       "paper_key": "doi:10.1086/734778",
       "published": false,
       "title": "Induced Automation Innovation: Evidence from Firm-Level Patent Data",
       "url": "https://doi.org/10.1086/734778"
      }
     ],
     "rationale": "His growth models and patent evidence link automation innovation to rising income inequality.",
     "stance": "agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/david-hemous/"
  },
  {
   "bio_md": "Danoff Dean of Harvard College and professor at the Harvard Kennedy School, where he served as academic dean from 2021 to 2024. Research on education, skills, technology, and the labor market, including 'The Rapid Adoption of Generative AI' (Management Science, 2026), 'Four Facts about Human Capital' (Journal of Economic Perspectives, 2022), and 'Team Players: How Social Skills Improve Team Performance' (Econometrica, 2021). Co-director of Harvard's Project on Workforce. Recipient of the Sherwin Rosen Prize (2022) and the David N. Kershaw Award (2018). PhD in public policy from Harvard Kennedy School. Signed the wemustactnow.ai open letter.",
   "id": "david-deming",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.hks.harvard.edu/faculty/david-deming"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/David_Deming_(economist)"
    }
   ],
   "name": "David J. Deming",
   "notable_works": [
    {
     "paper_key": "doi:10.1287/mnsc.2025.02523"
    },
    {
     "paper_key": "doi:10.1257/jep.36.3.75"
    },
    {
     "paper_key": "doi:10.3982/ecta18461"
    }
   ],
   "role": "Economist, Harvard University; Danoff Dean of Harvard College",
   "sources": [
    {
     "title": "David Deming - Harvard Kennedy School",
     "url": "https://www.hks.harvard.edu/faculty/david-deming"
    },
    {
     "title": "David Deming (economist) - Wikipedia",
     "url": "https://en.wikipedia.org/wiki/David_Deming_(economist)"
    },
    {
     "paper_key": "doi:10.1287/mnsc.2025.02523",
     "published": false,
     "title": "The Rapid Adoption of Generative AI",
     "url": "https://doi.org/10.1287/mnsc.2025.02523"
    },
    {
     "paper_key": "doi:10.3982/ecta18461",
     "published": false,
     "title": "Team Players: How Social Skills Improve Team Performance",
     "url": "https://doi.org/10.3982/ecta18461"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-26",
     "confidence": "low",
     "evidence": [
      {
       "quote": "AI improves performance more for people with low baseline ability.",
       "url": "https://doi.org/10.1287/mnsc.2024.08994"
      }
     ],
     "rationale": "A controlled experiment finds that working with AI improves task performance, most for lower-ability participants.",
     "stance": "lean_agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-26",
     "confidence": "low",
     "evidence": [
      {
       "quote": "eliminating miscalibration would cause AI to reduce performance inequality nearly twice as much as it already does",
       "url": "https://doi.org/10.1287/mnsc.2024.08994"
      },
      {
       "quote": "document large gaps in AI adoption, both between the US and Europe and across European countries",
       "url": "https://doi.org/10.65864/2lsq5dt0s2"
      }
     ],
     "rationale": "An experiment finds AI narrows performance gaps between workers, while survey work documents large cross-country gaps in AI adoption.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/david-deming/"
  },
  {
   "bio_md": "Bennett Professor of Public Policy at the University of Cambridge and research director of the Bennett School of Public Policy. Author of books on the digital economy and economic measurement, including 'The Weightless World' (1997), 'GDP: A Brief but Affectionate History' (2014), 'Cogs and Monsters' (2021), and 'The Measure of Progress' (2025). Formerly economics editor of The Independent, member of the UK Competition Commission (2001-2009), and vice-chair of the BBC Trust. Appointed OBE (2009), CBE (2018), and DBE (2023) for services to economics. PhD in economics from Harvard University. Signed the wemustactnow.ai open letter.",
   "id": "diane-coyle",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Diane_Coyle"
    },
    {
     "kind": "other",
     "url": "https://www.bennettschool.cam.ac.uk/about-us/person/diane-coyle/"
    }
   ],
   "name": "Diane Coyle",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w34330"
    },
    {
     "title": "GDP: A Brief but Affectionate History",
     "url": "https://en.wikipedia.org/wiki/Diane_Coyle"
    },
    {
     "title": "Cogs and Monsters: What Economics Is, and What It Should Be",
     "url": "https://en.wikipedia.org/wiki/Diane_Coyle"
    }
   ],
   "role": "Economist, University of Cambridge",
   "sources": [
    {
     "title": "Diane Coyle - Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Diane_Coyle"
    },
    {
     "title": "Diane Coyle - Bennett School of Public Policy",
     "url": "https://www.bennettschool.cam.ac.uk/about-us/person/diane-coyle/"
    },
    {
     "paper_key": "doi:10.3386/w34330",
     "published": false,
     "title": "Making AI Count: The Next Measurement Frontier",
     "url": "https://doi.org/10.3386/w34330"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "There are a lot of studies now showing that, for individual tasks at work, you save a lot of time using AI.",
       "url": "https://agendapublica.es/noticia/21470/diane-coyle-end-it-will-be-people-general-who-benefit-artificial-intelligence"
      },
      {
       "paper_key": "doi:10.3386/w34330",
       "published": false,
       "title": "Making AI Count: The Next Measurement Frontier",
       "url": "https://doi.org/10.3386/w34330"
      }
     ],
     "rationale": "Says AI saves considerable time on individual work tasks but has not yet shown up in aggregate productivity; she expects measurable macro-level gains only if organizations adapt, and argues current statistics struggle to capture AI's impact.",
     "stance": "mixed"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "I don't myself think it will be a job apocalypse of the kind that some of the AI leaders have been talking about.",
       "url": "https://agendapublica.es/noticia/21470/diane-coyle-end-it-will-be-people-general-who-benefit-artificial-intelligence"
      }
     ],
     "rationale": "Expects some labor-market disruption but not the large-scale job loss described by some AI industry leaders.",
     "stance": "lean_disagree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Unless that value starts being shared, we're going to be in very politically disrupted times.",
       "url": "https://agendapublica.es/noticia/21470/diane-coyle-end-it-will-be-people-general-who-benefit-artificial-intelligence"
      }
     ],
     "rationale": "Says the value from AI is currently captured by a small number of people and that political disruption will follow unless that value is shared more widely.",
     "stance": "lean_agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.48550/arxiv.2402.08797",
       "published": false,
       "title": "Computing Power and the Governance of Artificial Intelligence",
       "url": "http://arxiv.org/abs/2402.08797"
      },
      {
       "paper_key": "doi:10.17863/cam.125002",
       "published": false,
       "title": "Navigating AI sovereignty: strategic choices for the UK",
       "url": "https://www.repository.cam.ac.uk/handle/1810/395546"
      },
      {
       "paper_key": "doi:10.17863/cam.130537",
       "published": false,
       "title": "Refreshing the UK’s strategic approach to AI",
       "url": "https://www.repository.cam.ac.uk/handle/1810/403698"
      }
     ],
     "rationale": "Co-authored policy work arguing for active government strategy on AI, including compute-based governance, an integrated UK approach to AI sovereignty, and public-value-oriented AI development.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "It's much slower to change institutions than to change the technology.",
       "url": "https://agendapublica.es/noticia/21470/diane-coyle-end-it-will-be-people-general-who-benefit-artificial-intelligence"
      },
      {
       "quote": "I think it's probably a question of it being too early to see what the effects are.",
       "url": "https://agendapublica.es/noticia/21470/diane-coyle-end-it-will-be-people-general-who-benefit-artificial-intelligence"
      }
     ],
     "rationale": "Says it is too early to see AI's effects and that institutions change more slowly than the technology, while expecting measurable macro-level productivity gains within two or three years if organizations adapt.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/diane-coyle/"
  },
  {
   "bio_md": "Assistant professor of computer science at Stanford University, working on natural language processing and computational social science. Co-author of 'Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce' (2025) and of 'When large language models are reliable for judging empathic communication' (Nature Machine Intelligence, 2026). Recipient of an NSF CAREER Award (2022), a Microsoft Research Faculty Fellowship, an ONR Young Investigator Award (2023), and a Sloan Research Fellowship (2024). PhD from Carnegie Mellon University. Signed the wemustactnow.ai open letter.",
   "id": "diyi-yang",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://profiles.stanford.edu/diyi-yang"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Diyi_Yang"
    }
   ],
   "name": "Diyi Yang",
   "notable_works": [
    {
     "title": "Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce",
     "url": "https://arxiv.org/abs/2506.06576"
    },
    {
     "paper_key": "doi:10.1038/s42256-025-01169-6"
    }
   ],
   "role": "Computer scientist, Stanford University",
   "sources": [
    {
     "quote": "Assistant Professor of Computer Science",
     "url": "https://profiles.stanford.edu/diyi-yang"
    },
    {
     "title": "Diyi Yang - Stanford HAI",
     "url": "https://hai.stanford.edu/people/diyi-yang"
    },
    {
     "title": "Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce",
     "url": "https://arxiv.org/abs/2506.06576"
    },
    {
     "paper_key": "doi:10.1038/s42256-025-01169-6",
     "published": false,
     "title": "When large language models are reliable for judging empathic communication",
     "url": "https://doi.org/10.1038/s42256-025-01169-6"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-07-18",
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   "bio_md": "Associate Professor of Law, Economics, and Data Science at ETH Zurich, granted tenure in 2023. Holds a PhD in economics and a JD from Columbia University; previously Assistant Professor of Economics at the University of Warwick. Recipient of a European Research Council Starting Grant and co-editor of the Journal of Law and Economics. Author of work applying natural language processing and machine learning to law and economics, including 'Text Algorithms in Economics' and 'A Machine Learning Approach to Analyze and Support Anticorruption Policy'. Signed the wemustactnow.ai open letter.",
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     "title": "Elliott Ash promoted to Associate Professor — ETH Zurich CLE news",
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  {
   "bio_md": "Full professor in the Department of Economics and Finance at LUISS University in Rome since 2023, previously at the University of Bologna. Associate faculty member at the Toulouse School of Economics, CEPR research fellow, and co-editor of the International Journal of Industrial Organization. Author, with Giacomo Calzolari, Vincenzo Denicolò, and Sergio Pastorello, of work on algorithmic pricing, including 'Artificial Intelligence, Algorithmic Pricing, and Collusion' (American Economic Review, 2020), an experimental study in which Q-learning pricing algorithms learned to charge supracompetitive prices without communicating. Signed the wemustactnow.ai open letter.",
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     "title": "Emilio Calvano — Toulouse School of Economics",
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     "title": "Artificial Intelligence, Algorithmic Pricing, and Collusion",
     "url": "https://doi.org/10.1257/aer.20190623"
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       "quote": "This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude.",
       "url": "https://doi.org/10.1093/oxrep/grab011"
      },
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       "url": "https://doi.org/10.1093/epolic/eiae067"
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   "url": "https://wemustactnow.onrender.com/authors/emilio-calvano/"
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  {
   "bio_md": "Economist at Stanford University and a research associate of the National Bureau of Economic Research. Author of work on digital technology and productivity, including 'Race Against the Machine', 'The Productivity J-Curve', and 'Generative AI at Work', a study of a generative-AI assistant deployed to 5,172 customer-support agents. Signed the wemustactnow.ai open letter.",
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   "name": "Erik Brynjolfsson",
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    {
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   "sources": [
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     "url": "http://bvbr.bib-bvb.de:8991/F?func=service&amp;doc_library=BVB01&amp;local_base=BVB01&amp;doc_number=025758051&amp;sequence=000002&amp;line_number=0001&amp;func_code=DB_RECORDS&amp;service_type=MEDIA"
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   "url": "https://wemustactnow.onrender.com/authors/erik-brynjolfsson/"
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  {
   "bio_md": "Leads the Science of Cities / Transforming Economies research program at the Complexity Science Hub in Vienna, a role held since 2021. Previously research director of the Growth Lab at Harvard Kennedy School (2017-2021), where he led the scientific development of Metroverse, the lab's urban-economy navigator, and before that assistant professor at the Erasmus School of Economics in Rotterdam. PhD in economic geography from Utrecht University. Author of work on labor markets and technology diffusion, including 'The value of complementary co-workers' and 'Who is using AI to code? Global diffusion and impact of generative AI'. Signed the wemustactnow.ai open letter.",
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    {
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    {
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     "url": "https://growthlab.hks.harvard.edu/person/frank-neffke/"
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  {
   "bio_md": "Economist. Assistant Professor in the Data Sciences and Operations department at the University of Southern California's Marshall School of Business, non-resident fellow at Bruegel, research associate at the MIT Initiative on the Digital Economy, and digital fellow at the Stanford Digital Economy Lab. Author of work on digital platforms, competition policy, and labour markets, including 'Information Technology, Firm Size, and Industrial Concentration' and 'Occupational change, artificial intelligence and the geography of EU labour markets'. Member of the panel of economic experts that advised the European Commission on the EU Digital Markets Act. Signed the wemustactnow.ai open letter.",
   "id": "georgios-petropoulos",
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   "name": "Georgios Petropoulos",
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    {
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     "title": "Georgios Petropoulos - Bruegel",
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     "title": "The EU Digital Markets Act: A report from a Panel of Economic Experts",
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     "quote": "Signed the wemustactnow.ai open letter",
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       "quote": "the ingredients are in place for a productivity boom",
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       "quote": "So, past cases suggest that in the short run the displacement effect may dominate.",
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       "quote": "This leads to only a small portion of firms capturing most of the talent and the benefits from AI technologies",
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       "quote": "Addressing the market-power failure in AI-related markets would require a combination of market regulation, competition policies and labour-market policies",
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       "paper_key": "doi:10.2760/139337",
       "published": false,
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    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
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       "quote": "The speed with which technology advances may introduce disruptive forces in the market earlier than some people might think.",
       "url": "https://www.bruegel.org/blog-post/do-we-understand-impact-artificial-intelligence-employment"
      },
      {
       "quote": "But that could be about to change.",
       "url": "https://www.technologyreview.com/2021/06/10/1026008/the-coming-productivity-boom/"
      }
     ],
     "rationale": "He has written that AI-driven disruption may arrive sooner than expected and co-authored a 2021 forecast of a coming productivity boom, while describing a J-curve in which gains follow an initial investment phase.",
     "stance": "lean_agree"
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   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/georgios-petropoulos/"
  },
  {
   "bio_md": "Professor of Economics at the European University Institute in Florence, where he also serves as Provost for Research and External Relations, and CEPR research fellow. PhD from the University of Toulouse; joined the EUI in 2018 from the University of Bologna. Research spans industrial organization, competition policy, banking regulation, and the economics of artificial intelligence. Author, with Emilio Calvano, Vincenzo Denicolò, and Sergio Pastorello, of work on algorithmic pricing, including 'Artificial Intelligence, Algorithmic Pricing, and Collusion' (American Economic Review, 2020). Recipient of the European Economic Association's Young Economist Award. Signed the wemustactnow.ai open letter.",
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   "role": "Economist, European University Institute",
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    {
     "title": "Giacomo Calzolari — Wikipedia",
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    {
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   "url": "https://wemustactnow.onrender.com/authors/giacomo-calzolari/"
  },
  {
   "bio_md": "Bloomberg Distinguished Professor of AI Alignment and Governance at Johns Hopkins University, with appointments in the School of Government and Policy and the Whiting School of Engineering. Previously Schwartz Reisman Chair in Technology and Society at the University of Toronto, where she directed the Schwartz Reisman Institute, and professor at the USC Gould School of Law. Senior policy adviser to OpenAI from 2018 to 2023. Author of 'Rules for a Flat World' (Oxford University Press, 2016) and co-author of 'Managing extreme AI risks amid rapid progress' (Science, 2024). JD and PhD in economics from Stanford University. Signed the wemustactnow.ai open letter.",
   "id": "gillian-hadfield",
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   "name": "Gillian Hadfield",
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     "title": "Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy",
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    {
     "paper_key": "doi:10.48550/arxiv.2402.08797"
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   "role": "Professor of AI Alignment and Governance, Johns Hopkins University",
   "sources": [
    {
     "title": "Gillian K. Hadfield named Bloomberg Distinguished Professor of AI Alignment and Governance - JHU Hub",
     "url": "https://hub.jhu.edu/2025/06/26/gillian-k-hadfield-bdp-artificial-intelligence-alignment/"
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     "title": "Rules for a Flat World - Oxford University Press",
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     "url": "https://doi.org/10.1126/science.adn0117"
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     "quote": "Signed the wemustactnow.ai open letter",
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     "claim": "regulation",
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       "title": "Computing Power and the Governance of Artificial Intelligence",
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     "rationale": "Writes that an economy of AI agents is emerging and institutions must adapt quickly.",
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   ],
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  {
   "bio_md": "Professor in the Department of Quantitative Economics at SGH Warsaw School of Economics and economic advisor at Narodowy Bank Polski. Member of the European Commission's AI Act Scientific Panel and of the CEPR Research and Policy Network on Artificial Intelligence. Author of work on long-run growth, automation, and transformative AI, including 'Existential risk from transformative AI: an economic perspective' and the hardware–software model of production, R&D, and growth. Signed the wemustactnow.ai open letter.",
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   ],
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    {
     "paper_key": "doi:10.1017/s1365100521000031"
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   "role": "Economist, SGH Warsaw School of Economics",
   "sources": [
    {
     "title": "Jakub Growiec — SGH Warsaw School of Economics homepage",
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    {
     "paper_key": "doi:10.3846/tede.2024.21525",
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     "title": "Existential risk from transformative AI: an economic perspective",
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    },
    {
     "paper_key": "title:c987e6f28d298e85",
     "published": false,
     "title": "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI",
     "url": "https://econpapers.repec.org/paper/sghkaewps/2019042.htm"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "medium",
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       "paper_key": "doi:10.3846/tede.2024.21525",
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      },
      {
       "paper_key": "title:c987e6f28d298e85",
       "published": false,
       "title": "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI",
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       "paper_key": "doi:10.1017/s1365100521000031",
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       "title": "AUTOMATION, PARTIAL AND FULL",
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      {
       "paper_key": "title:fe24ab94933d724b",
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       "title": "Workers' Incentives and the Optimal Taxation of AI",
       "url": "http://arxiv.org/abs/2603.17898"
      }
     ],
     "rationale": "His models find partial automation of complex tasks raises demand for human work in the remaining sub-tasks, while full automation lowers it; he links a shift of cognitive workers into manual jobs to AI becoming capable across cognitive tasks.",
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    {
     "claim": "regulation",
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       "title": "Existential risk from transformative AI: an economic perspective",
       "url": "https://doi.org/10.3846/tede.2024.21525"
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     ],
     "rationale": "Argues the existential risk from transformative AI calls for more public funding of AI safety research and stronger AI regulation, ideally coordinated globally.",
     "stance": "agree"
    },
    {
     "claim": "pace",
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       "paper_key": "doi:10.3846/tede.2024.21525",
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     "rationale": "Estimates that transformative AI will most likely be developed within one to four decades, a horizon mostly longer than about a decade.",
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   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/jakub-growiec/"
  },
  {
   "bio_md": "Anand Rajaraman and Venky Harinarayan Professor of Computer Science at Stanford University, and co-founder and Denning Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Previously a professor at the University of Washington and at Cornell Tech, and director of Intel Labs Seattle (2003–2006). ACM Fellow, member of the ACM SIGCHI Academy, and recipient of the ACM SIGCHI Lifetime Research Award. Listed author of the Artificial Intelligence Index Report 2026. Signed the wemustactnow.ai open letter.",
   "id": "james-landay",
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   "name": "James Landay",
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     "paper_key": "doi:10.1145/3290605.3300587"
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    {
     "paper_key": "doi:10.1038/s41598-020-74486-y"
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   ],
   "role": "Computer scientist, Stanford University",
   "sources": [
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     "title": "James Landay — Stanford HAI profile",
     "url": "https://hai.stanford.edu/people/james-landay"
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    {
     "title": "James Landay — Stanford School of Engineering profile",
     "url": "https://engineering.stanford.edu/people/james-landay"
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    {
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     "published": false,
     "title": "Artificial Intelligence Index Report 2026",
     "url": "https://arxiv.org/abs/2606.15708"
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    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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     "claim": "inequality",
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       "quote": "the gains and losses are not going to be distributed evenly",
       "url": "https://hai.stanford.edu/news/davos-2024-six-takeaways-ai-conversation-wef"
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     "rationale": "He has said the gains and losses from AI-driven job change will not be distributed evenly and calls for a human-centered approach to these societal effects.",
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   "url": "https://wemustactnow.onrender.com/authors/james-landay/"
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  {
   "bio_md": "Senior Lecturer and Associate Professor in the School of Law at the University of Galway. Author of the 2019 book 'Automation and Utopia: Human Flourishing in a World without Work'. Author of 'The Threat of Algocracy: Reality, Resistance and Accommodation' and co-author of 'Algorithmic governance: Developing a research agenda through the power of collective intelligence'. Signed the wemustactnow.ai open letter.",
   "id": "john-danaher",
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   "name": "John Danaher",
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    {
     "paper_key": "doi:10.1177/2053951717726554"
    },
    {
     "paper_key": "doi:10.1007/s10676-016-9403-3"
    }
   ],
   "role": "Senior Lecturer in Law, University of Galway",
   "sources": [
    {
     "title": "John Danaher - University of Galway Research (Senior Lecturer and Associate Professor, School of Law; author of Automation and Utopia)",
     "url": "https://research.universityofgalway.ie/en/persons/john-danaher/"
    },
    {
     "paper_key": "doi:10.1007/s13347-015-0211-1",
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     "title": "The Threat of Algocracy: Reality, Resistance and Accommodation",
     "url": "https://doi.org/10.1007/s13347-015-0211-1"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/john-danaher/"
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  {
   "bio_md": "Economist at the University of Chicago, where he is the Kenneth C. Griffin Distinguished Service Professor of Economics and served as chairman of the Department of Economics from 2012 to 2018. Author of work using natural field experiments to study economic behavior, including experiments on charitable giving, discrimination, and early childhood education. Served on the White House Council of Economic Advisers from 2002 to 2003 and as chief economist at Uber, at Lyft, and, from 2022, at Walmart. Member of the American Academy of Arts and Sciences. Signed the wemustactnow.ai open letter.",
   "id": "john-list",
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   ],
   "name": "John List",
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    {
     "paper_key": "doi:10.1038/s41562-025-02137-1"
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    {
     "paper_key": "doi:10.3386/w31679"
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   ],
   "role": "Kenneth C. Griffin Distinguished Service Professor, University of Chicago",
   "sources": [
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     "title": "John A. List - Wikipedia",
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     "paper_key": "doi:10.1093/restud/rdaa081",
     "published": false,
     "title": "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers",
     "url": "https://doi.org/10.1093/restud/rdaa081"
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    {
     "quote": "Signed the wemustactnow.ai open letter",
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   "url": "https://wemustactnow.onrender.com/authors/john-list/"
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  {
   "bio_md": "Established Professor and Head of Economics at the J.E. Cairnes School of Business and Economics, University of Galway, and a former Executive Dean of Business and Economics there. Holds PhD and AM degrees from Harvard University. Co-author of 'Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth' and 'Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model'. Signed the wemustactnow.ai open letter.",
   "id": "john-mchale",
   "labels": [
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   ],
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   ],
   "name": "John McHale",
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    {
     "paper_key": "doi:10.3386/w34781"
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   ],
   "role": "Established Professor and Head of Economics, University of Galway",
   "sources": [
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     "url": "https://research.universityofgalway.ie/en/persons/john-mchale/"
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    {
     "title": "Professor John McHale - University of Galway (former Executive Dean; PhD and AM, Harvard)",
     "url": "https://sdg.cairnes.universityofgalway.ie/faculty/professor-john-mchale/"
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    {
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    },
    {
     "paper_key": "doi:10.3386/w34781",
     "published": false,
     "title": "Enhancing Worker Productivity Without Automating Tasks: A Different Approach to AI and the Task-Based Model",
     "url": "https://doi.org/10.3386/w34781"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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   ],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/john-mchale/"
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  {
   "bio_md": "Economist at the London School of Economics, where he is the Ronald Coase School Professor and directs the Programme on Innovation and Diffusion at the Centre for Economic Performance. He directed the Centre for Economic Performance from 2003 to 2016 and was a professor of applied economics at MIT from 2016 to 2020. Author of work on productivity, innovation, and management practices, including 'The Fall of the Labor Share and the Rise of Superstar Firms' and 'Are Ideas Getting Harder to Find?'. Co-recipient of the 2009 Yrjo Jahnsson Award; appointed OBE in the 2016 New Year Honours for services to economics and public policy making. Signed the wemustactnow.ai open letter.",
   "id": "john-reenen",
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   ],
   "links": [
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   ],
   "name": "John Van Reenen",
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    {
     "paper_key": "doi:10.1257/aer.20180338"
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    {
     "paper_key": "doi:10.3386/w22327"
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   ],
   "role": "Ronald Coase School Professor, London School of Economics",
   "sources": [
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     "title": "The Fall of the Labor Share and the Rise of Superstar Firms*",
     "url": "https://doi.org/10.1093/qje/qjaa004"
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    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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     "claim": "productivity",
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       "quote": "Research already finds large productivity gains from AI in specific tasks, including coding, writing and customer support. But those gains become much smaller when moving from an individual task to the level of a complete product or organisation.",
       "url": "https://res.org.uk/productivity-innovation-and-the-future-of-growth-professor-john-van-reenen-obe/"
      }
     ],
     "rationale": "In a 2026 keynote he noted large AI productivity gains in specific tasks that shrink at the level of whole products or organisations, and argued that, as with earlier general-purpose technologies, economy-wide gains depend on reorganisation and management.",
     "stance": "mixed"
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    {
     "claim": "pace",
     "classified": "2026-10-18",
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      {
       "quote": "These technologies did not immediately produce large economy-wide productivity gains because businesses first had to change how work was organised.",
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      }
     ],
     "rationale": "He has drawn parallels between AI and electricity and the digital revolution, which did not deliver large economy-wide productivity gains until businesses reorganised work, and suggested the same lag may apply to AI.",
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   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/john-reenen/"
  },
  {
   "bio_md": "University Professor at Columbia University. Co-recipient of the 2001 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel, with George Akerlof and Michael Spence, for analyses of markets with asymmetric information; recipient of the John Bates Clark Medal in 1979. Chair of the U.S. Council of Economic Advisers (1995–1997) and chief economist and senior vice president of the World Bank (1997–2000). Author of work on technology and inequality, including 'Technological Progress, Artificial Intelligence, and Inclusive Growth' and 'Artificial Intelligence, Globalization, and Strategies for Economic Development'. Signed the wemustactnow.ai open letter.",
   "id": "joseph-stiglitz",
   "labels": [
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   ],
   "links": [
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   "name": "Joseph Stiglitz",
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    {
     "paper_key": "doi:10.3386/w34994"
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   ],
   "role": "Economist and University Professor, Columbia University",
   "sources": [
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     "title": "Joseph Stiglitz — Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Joseph_Stiglitz"
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    {
     "title": "Joseph Stiglitz — Columbia Business School faculty profile",
     "url": "https://business.columbia.edu/faculty/people/joseph-stiglitz"
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    {
     "paper_key": "doi:10.5089/9781513583280.001",
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     "title": "Technological Progress, Artificial Intelligence, and Inclusive Growth",
     "url": "https://doi.org/10.5089/9781513583280.001"
    },
    {
     "paper_key": "doi:10.3386/w28453",
     "published": false,
     "title": "Artificial Intelligence, Globalization, and Strategies for Economic Development",
     "url": "https://doi.org/10.3386/w28453"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "With the right policies, we could have higher productivity and less inequality, and everybody would be better off.",
       "url": "https://www.scientificamerican.com/article/unregulated-ai-will-worsen-inequality-warns-nobel-winning-economist-joseph-stiglitz/"
      },
      {
       "paper_key": "doi:10.5089/9781513583280.001",
       "published": false,
       "title": "Technological Progress, Artificial Intelligence, and Inclusive Growth",
       "url": "https://doi.org/10.5089/9781513583280.001"
      }
     ],
     "rationale": "Treats AI's productivity gains as a potential that depends on policy, saying that with the right policies higher productivity and less inequality are both possible, while stressing that the objective is well-being rather than measured GDP.",
     "stance": "mixed"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "There will be jobs created, but my judgment is that there will be more jobs lost.",
       "url": "https://www.scientificamerican.com/article/unregulated-ai-will-worsen-inequality-warns-nobel-winning-economist-joseph-stiglitz/"
      },
      {
       "paper_key": "doi:10.3386/w28453",
       "published": false,
       "title": "Artificial Intelligence, Globalization, and Strategies for Economic Development",
       "url": "https://doi.org/10.3386/w28453"
      }
     ],
     "rationale": "Has stated that AI will replace people in more routine jobs and that, in his judgment, more jobs will be lost than created; his research describes AI as largely labor-saving.",
     "stance": "agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "high",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w24174",
       "published": false,
       "title": "Artificial Intelligence and Its Implications for Income Distribution and Unemployment",
       "url": "https://doi.org/10.3386/w24174"
      },
      {
       "paper_key": "doi:10.5089/9781513583280.001",
       "published": false,
       "title": "Technological Progress, Artificial Intelligence, and Inclusive Growth",
       "url": "https://doi.org/10.5089/9781513583280.001"
      },
      {
       "paper_key": "doi:10.3386/w28453",
       "published": false,
       "title": "Artificial Intelligence, Globalization, and Strategies for Economic Development",
       "url": "https://doi.org/10.3386/w28453"
      }
     ],
     "rationale": "His AI papers identify inequality as a main challenge of worker-replacing technological progress and set out domestic and international policies to mitigate the adverse distributional effects.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-10-18",
     "confidence": "high",
     "evidence": [
      {
       "quote": "One can’t just leave it to the market.",
       "url": "https://www.scientificamerican.com/article/unregulated-ai-will-worsen-inequality-warns-nobel-winning-economist-joseph-stiglitz/"
      },
      {
       "quote": "We may have to use government regulation because of the weakness of the bargaining power of workers",
       "url": "https://www.scientificamerican.com/article/unregulated-ai-will-worsen-inequality-warns-nobel-winning-economist-joseph-stiglitz/"
      },
      {
       "paper_key": "doi:10.3386/w34994",
       "published": false,
       "title": "Steering Technological Progress",
       "url": "https://doi.org/10.3386/w34994"
      }
     ],
     "rationale": "Argues AI's direction cannot be left to the market and that government regulation may be needed, and his recent work proposes deliberately steering innovation toward labor-complementing technologies.",
     "stance": "agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/joseph-stiglitz/"
  },
  {
   "bio_md": "Economist at the Rotman School of Management, University of Toronto, where he holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship. Co-author, with Ajay Agrawal and Avi Goldfarb, of 'Prediction Machines: The Simple Economics of Artificial Intelligence' (2018) and 'Power and Prediction: The Disruptive Economics of Artificial Intelligence' (2022). Chief economist of the Creative Destruction Lab. Author of 'The Microeconomics of Artificial Intelligence' (MIT Press, 2025). PhD in economics from Stanford University. Signed the wemustactnow.ai open letter.",
   "id": "joshua-gans",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Joshua_Gans"
    },
    {
     "kind": "other",
     "url": "https://www.rotman.utoronto.ca/the-rotman-experience/our-community/people/gans-joshua/"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=HIP7UI0AAAAJ"
    }
   ],
   "name": "Joshua Gans",
   "notable_works": [
    {
     "title": "Prediction Machines: The Simple Economics of Artificial Intelligence",
     "url": "https://store.hbr.org/product/prediction-machines-updated-and-expanded-the-simple-economics-of-artificial-intelligence/10598"
    },
    {
     "title": "Power and Prediction: The Disruptive Economics of Artificial Intelligence",
     "url": "https://store.hbr.org/product/power-and-prediction-the-disruptive-economics-of-artificial-intelligence/10580"
    },
    {
     "paper_key": "doi:10.7551/mitpress/15248.001.0001"
    }
   ],
   "role": "Economist, Rotman School of Management, University of Toronto",
   "sources": [
    {
     "title": "Joshua Gans - Wikipedia",
     "url": "https://en.wikipedia.org/wiki/Joshua_Gans"
    },
    {
     "title": "Joshua Gans - Rotman School of Management, University of Toronto",
     "url": "https://www.rotman.utoronto.ca/the-rotman-experience/our-community/people/gans-joshua/"
    },
    {
     "paper_key": "doi:10.7551/mitpress/15248.001.0001",
     "published": false,
     "title": "The Microeconomics of Artificial Intelligence",
     "url": "https://doi.org/10.7551/mitpress/15248.001.0001"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.7208/chicago/9780226613475.001.0001",
       "published": false,
       "title": "The Economics of Artificial Intelligence",
       "url": "https://doi.org/10.7208/chicago/9780226613475.001.0001"
      },
      {
       "paper_key": "doi:10.3386/w34034",
       "published": false,
       "title": "The Economics of Bicycles for the Mind",
       "url": "https://doi.org/10.3386/w34034"
      }
     ],
     "rationale": "Co-author of the 'prediction machines' view: AI is a general-purpose technology with substantial economic upside.",
     "stance": "agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1257/jep.33.2.31",
       "published": false,
       "title": "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction",
       "url": "https://doi.org/10.1257/jep.33.2.31"
      }
     ],
     "rationale": "Titles his analysis 'the ambiguous labor market impact of automating prediction' — displacement and augmentation both plausible.",
     "stance": "mixed"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1086/699935",
       "published": false,
       "title": "Economic Policy for Artificial Intelligence",
       "url": "https://doi.org/10.1086/699935"
      }
     ],
     "rationale": "Argues AI policy should balance enabling diffusion against specific harms, warning against reflexive restriction.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/joshua-gans/"
  },
  {
   "bio_md": "Professor of Macroeconomics at the Vienna University of Economics and Business (WU). Research on economic growth, inequality, demographic change, and the economic consequences of automation. Co-author, with David E. Bloom, of 'Automation and Its Macroeconomic Consequences: Theory, Evidence, and Social Impacts' (Academic Press, 2020). Author of work on automation and labor, including 'AI innovation and the labor share in European regions' (European Economic Review, 2025). Signed the wemustactnow.ai open letter.",
   "id": "klaus-prettner",
   "labels": [
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   ],
   "links": [
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     "kind": "homepage",
     "url": "https://sites.google.com/view/klausprettner/home"
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    {
     "kind": "other",
     "url": "https://www.wu.ac.at/en/department-of-economics/people/prettner-k"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=fxzdSBIAAAAJ"
    }
   ],
   "name": "Klaus Prettner",
   "notable_works": [
    {
     "title": "Automation and Its Macroeconomic Consequences: Theory, Evidence, and Social Impacts",
     "url": "https://shop.elsevier.com/books/automation-and-its-macroeconomic-consequences/prettner/978-0-12-818028-0"
    },
    {
     "paper_key": "doi:10.1016/j.euroecorev.2025.105043"
    },
    {
     "paper_key": "doi:10.1016/j.econlet.2026.113022"
    }
   ],
   "role": "Professor of Macroeconomics, Vienna University of Economics and Business",
   "sources": [
    {
     "quote": "a Professor of Macroeconomics at WU (Vienna University of Economics and Business)",
     "url": "https://sites.google.com/view/klausprettner/home"
    },
    {
     "title": "Automation and Its Macroeconomic Consequences, by Klaus Prettner and David E. Bloom (Academic Press, 2020)",
     "url": "https://shop.elsevier.com/books/automation-and-its-macroeconomic-consequences/prettner/978-0-12-818028-0"
    },
    {
     "paper_key": "doi:10.1016/j.euroecorev.2025.105043",
     "published": false,
     "title": "AI innovation and the labor share in European regions",
     "url": "https://doi.org/10.1016/j.euroecorev.2025.105043"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1093/oep/gpab022",
       "published": false,
       "title": "Technological unemployment revisited: automation in a search and matching framework",
       "url": "https://doi.org/10.1093/oep/gpab022"
      }
     ],
     "rationale": "Models technological unemployment from automation in search-and-matching frameworks and finds displacement pressure real.",
     "stance": "lean_agree"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1016/j.jmoneco.2019.10.012",
       "published": false,
       "title": "Innovation, automation, and inequality: Policy challenges in the race against the machine",
       "url": "https://doi.org/10.1016/j.jmoneco.2019.10.012"
      },
      {
       "paper_key": "doi:10.1016/j.euroecorev.2025.105043",
       "published": false,
       "title": "AI innovation and the labor share in European regions",
       "url": "https://doi.org/10.1016/j.euroecorev.2025.105043"
      }
     ],
     "rationale": "His macro models and empirical work find automation raises inequality and depresses the labor share without policy intervention.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "title:fe24ab94933d724b",
       "published": false,
       "title": "Workers' Incentives and the Optimal Taxation of AI",
       "url": "http://arxiv.org/abs/2603.17898"
      },
      {
       "paper_key": "doi:10.1016/j.jmoneco.2019.10.012",
       "published": false,
       "title": "Innovation, automation, and inequality: Policy challenges in the race against the machine",
       "url": "https://doi.org/10.1016/j.jmoneco.2019.10.012"
      }
     ],
     "rationale": "Studies optimal taxation of AI and policy challenges 'in the race against the machine' — policy action is his research premise.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/klaus-prettner/"
  },
  {
   "bio_md": "Elisabeth Allison Professor of Economics at Harvard University and a Research Associate of the National Bureau of Economic Research. Co-author of 'The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015'. Signed the wemustactnow.ai open letter.",
   "id": "lawrence-katz",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://lkatz.scholars.harvard.edu/"
    },
    {
     "kind": "wikipedia",
     "url": "https://en.wikipedia.org/wiki/Lawrence_F._Katz"
    }
   ],
   "name": "Lawrence Katz",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w22667"
    }
   ],
   "role": "Elisabeth Allison Professor of Economics, Harvard",
   "sources": [
    {
     "title": "Lawrence F. Katz - Wikipedia (Elisabeth Allison Professor of Economics, Harvard; NBER Research Associate)",
     "url": "https://en.wikipedia.org/wiki/Lawrence_F._Katz"
    },
    {
     "title": "Lawrence Katz - Harvard University",
     "url": "https://lkatz.scholars.harvard.edu/"
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    {
     "paper_key": "doi:10.3386/w22667",
     "published": false,
     "title": "The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015",
     "url": "https://doi.org/10.3386/w22667"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/lawrence-katz/"
  },
  {
   "bio_md": "Associate Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania, where she teaches about the use and impact of emerging technologies. Co-author of studies on how firms use AI and robotics, including 'Artificial Intelligence, Lean Startup Method, and Product Innovations', 'Artificial Intelligence, CEO Turnover, and Exploration Orientation in Firm Innovation', and 'AI on Drugs: Can Artificial Intelligence Accelerate Drug Development?'. Signed the wemustactnow.ai open letter.",
   "id": "lynn-wu",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://oid.wharton.upenn.edu/profile/wulynn/"
    }
   ],
   "name": "Lynn Wu",
   "notable_works": [
    {
     "paper_key": "doi:10.1287/mnsc.2022.03905"
    },
    {
     "paper_key": "doi:10.1287/isre.2024.0970"
    },
    {
     "paper_key": "doi:10.25300/misq/2021/16565"
    }
   ],
   "role": "Associate Professor of Operations, Information and Decisions, Wharton",
   "sources": [
    {
     "title": "Lynn Wu - Wharton OID Department (Associate Professor)",
     "url": "https://oid.wharton.upenn.edu/profile/wulynn/"
    },
    {
     "title": "Lynn Wu - LinkedIn (teaches about the use and impact of emerging technologies)",
     "url": "https://www.linkedin.com/in/lynnwu02"
    },
    {
     "paper_key": "doi:10.1287/mnsc.2022.03905",
     "published": false,
     "title": "Artificial Intelligence, Lean Startup Method, and Product Innovations",
     "url": "https://doi.org/10.1287/mnsc.2022.03905"
    },
    {
     "paper_key": "doi:10.1287/isre.2024.0970",
     "published": false,
     "title": "Artificial Intelligence, CEO Turnover, and Exploration Orientation in Firm Innovation",
     "url": "https://doi.org/10.1287/isre.2024.0970"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-10-19",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.17023/v1cb-3w94",
       "published": false,
       "title": "WIE Elevated Engineer Series: The AI Revolution at Work - How Robots are Changing Jobs and Managers",
       "url": "https://doi.org/10.17023/v1cb-3w94"
      }
     ],
     "rationale": "Presents research finding that firms investing in robotics often hire more people overall, reducing managers rather than frontline workers, with middle-skill roles declining and high- and low-skill roles growing. The evidence concerns robotics adoption rather than AI broadly.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/lynn-wu/"
  },
  {
   "bio_md": "Assistant professor in the Department of Computer Science at University College London. PhD in mathematics from the Institute for New Economic Thinking at the Oxford Martin School, University of Oxford; previously a JSMF fellow at the Complexity Science Hub and the Growth Lab at Harvard Kennedy School. Uses networks, machine learning, and agent-based models to study labor markets and the economic effects of generative AI, including 'Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand' and 'Large language models reduce public knowledge sharing on online Q&A platforms'. Has worked with the International Monetary Fund and the International Labour Organization. Signed the wemustactnow.ai open letter.",
   "id": "maria-chanona",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://mariadelriochanona.info/"
    },
    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=HwK5iiEAAAAJ&hl=en"
    },
    {
     "kind": "other",
     "url": "https://profiles.ucl.ac.uk/97689-maria-del-riochanona"
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   ],
   "name": "Maria del Rio-Chanona",
   "notable_works": [
    {
     "paper_key": "doi:10.1016/j.jebo.2024.106845"
    },
    {
     "paper_key": "doi:10.1093/pnasnexus/pgae400"
    },
    {
     "paper_key": "doi:10.48550/arxiv.2509.15265"
    }
   ],
   "role": "Complexity economist, University College London",
   "sources": [
    {
     "title": "Maria Del Rio-Chanona — University College London profile",
     "url": "https://profiles.ucl.ac.uk/97689-maria-del-riochanona"
    },
    {
     "title": "Maria del Rio-Chanona — personal homepage",
     "url": "https://mariadelriochanona.info/"
    },
    {
     "paper_key": "doi:10.1016/j.jebo.2024.106845",
     "published": false,
     "title": "Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand",
     "url": "https://doi.org/10.1016/j.jebo.2024.106845"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
     "classified": "2026-10-26",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "demand for substitutable skills, such as writing and translation, decreased by 20–50% relative to the counterfactual trend",
       "url": "https://doi.org/10.1016/j.jebo.2024.106845"
      },
      {
       "quote": "labor demand increased after the launch of ChatGPT, but only in skill clusters that were complementary to or unaffected by the AI tool",
       "url": "https://doi.org/10.1016/j.jebo.2024.106845"
      }
     ],
     "rationale": "Freelance-platform evidence finds falling demand for AI-substitutable skills but rising demand in complementary and unaffected clusters.",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-26",
     "confidence": "low",
     "evidence": [
      {
       "quote": "demand for substitutable skills, such as writing and translation, decreased by 20–50% relative to the counterfactual trend",
       "url": "https://doi.org/10.1016/j.jebo.2024.106845"
      },
      {
       "quote": "demand for novice workers declined in general",
       "url": "https://doi.org/10.1016/j.jebo.2024.106845"
      }
     ],
     "rationale": "Freelance-platform evidence finds losses concentrated in substitutable skills and among novice workers.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/maria-chanona/"
  },
  {
   "bio_md": "Chris P. Dialynas Distinguished Service Professor of Economics at the University of Chicago Booth School of Business. Co-author of 'The impact of COVID-19 on small business outcomes and expectations', 'Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors' and 'Gender Identity and Relative Income within Households'. Signed the wemustactnow.ai open letter.",
   "id": "marianne-bertrand",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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     "kind": "other",
     "url": "https://www.chicagobooth.edu/faculty/directory/b/marianne-bertrand"
    },
    {
     "kind": "homepage",
     "url": "https://faculty.chicagobooth.edu/marianne-bertrand"
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   ],
   "name": "Marianne Bertrand",
   "notable_works": [
    {
     "paper_key": "doi:10.1073/pnas.2006991117"
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    {
     "paper_key": "doi:10.1257/app.2.3.228"
    },
    {
     "paper_key": "doi:10.1093/qje/qjv001"
    }
   ],
   "role": "Professor of Economics, Chicago Booth",
   "sources": [
    {
     "title": "Marianne Bertrand - Chicago Booth faculty directory (Chris P. Dialynas Distinguished Service Professor of Economics)",
     "url": "https://www.chicagobooth.edu/faculty/directory/b/marianne-bertrand"
    },
    {
     "paper_key": "doi:10.1073/pnas.2006991117",
     "published": false,
     "title": "The impact of COVID-19 on small business outcomes and expectations",
     "url": "https://doi.org/10.1073/pnas.2006991117"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/marianne-bertrand/"
  },
  {
   "bio_md": "Associate Professor in the Economic Analysis and Policy Group at the Haas School of Business, University of California, Berkeley; previously on the economics faculty at MIT (2017-2025). Author of work on AI, industrial policy, and the state, including 'AI-tocracy' and 'Data-intensive Innovation and the State: Evidence from AI Firms in China', with co-authors including David Y. Yang and Noam Yuchtman. Received a National Science Foundation CAREER Award in 2023. PhD in economics from the University of Chicago. Signed the wemustactnow.ai open letter.",
   "id": "martin-beraja",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://haas.berkeley.edu/faculty/martin-beraja/"
    },
    {
     "kind": "other",
     "url": "https://news.mit.edu/2023/how-ai-tocracy-emerges-0713"
    }
   ],
   "name": "Martin Beraja",
   "notable_works": [
    {
     "paper_key": "doi:10.1093/qje/qjad012"
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    {
     "paper_key": "doi:10.1093/restud/rdac056"
    },
    {
     "paper_key": "doi:10.1086/732854"
    }
   ],
   "role": "Economist, Haas School of Business, UC Berkeley",
   "sources": [
    {
     "title": "Martin Beraja - UC Berkeley Haas faculty profile",
     "url": "https://haas.berkeley.edu/faculty/martin-beraja/"
    },
    {
     "title": "How an AI-tocracy emerges - MIT News",
     "url": "https://news.mit.edu/2023/how-ai-tocracy-emerges-0713"
    },
    {
     "paper_key": "doi:10.1093/qje/qjad012",
     "published": false,
     "title": "AI-tocracy",
     "url": "https://doi.org/10.1093/qje/qjad012"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w30154",
       "published": false,
       "title": "Inefficient Automation",
       "url": "https://doi.org/10.3386/w30154"
      }
     ],
     "rationale": "His 'inefficient automation' work implies laissez-faire AI adoption skews gains away from workers.",
     "stance": "lean_agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.3386/w30154",
       "published": false,
       "title": "Inefficient Automation",
       "url": "https://doi.org/10.3386/w30154"
      },
      {
       "paper_key": "doi:10.1086/732854",
       "published": false,
       "title": "Government as Venture Capitalists in Artificial Intelligence",
       "url": "https://doi.org/10.1086/732854"
      }
     ],
     "rationale": "Shows market-driven automation can be socially inefficient and studies when governments should intervene in AI development.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/martin-beraja/"
  },
  {
   "bio_md": "Faculty member in Technology Management at the University of California, Santa Barbara since 2018. Author of 'The Skill Code: How to Save Human Ability in an Age of Intelligent Machines' (HarperCollins). Author of 'What Difference Does a Robot Make? The Material Enactment of Distributed Coordination' (Organization Science). Signed the wemustactnow.ai open letter.",
   "id": "matt-beane",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "other",
     "url": "https://tmp.ucsb.edu/people/matt-beane"
    }
   ],
   "name": "Matt Beane",
   "notable_works": [
    {
     "paper_key": "doi:10.1287/orsc.2015.1004"
    },
    {
     "paper_key": "doi:10.5465/amproc.2023.16746symposium"
    }
   ],
   "role": "Technology Management faculty, UC Santa Barbara",
   "sources": [
    {
     "title": "Matt Beane - UCSB Technology Management (author of The Skill Code)",
     "url": "https://tmp.ucsb.edu/people/matt-beane"
    },
    {
     "title": "Matt Beane - LinkedIn (joined UCSB Technology Management faculty in January 2018)",
     "url": "https://www.linkedin.com/in/mattbeane"
    },
    {
     "paper_key": "doi:10.1287/orsc.2015.1004",
     "published": false,
     "title": "What Difference Does a Robot Make? The Material Enactment of Distributed Coordination",
     "url": "https://doi.org/10.1287/orsc.2015.1004"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/matt-beane/"
  },
  {
   "bio_md": "Mitsui Career Development Assistant Professor in Contemporary Technology at the MIT Sloan School of Management and senior research scientist at Google DeepMind. Holds a PhD in computer science from MIT and physics degrees from Delft University of Technology. Works on AI alignment, societal impacts of AI, and AI in human interaction. Co-author of 'AI can help humans find common ground in democratic deliberation' (Science, 2024), a study of an LLM-based mediation system tested with thousands of UK participants, and of 'How large language models can reshape collective intelligence' (Nature Human Behaviour, 2024). Signed the wemustactnow.ai open letter.",
   "id": "michiel-bakker",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://mitsloan.mit.edu/faculty/directory/michiel-anton-bakker"
    }
   ],
   "name": "Michiel Bakker",
   "notable_works": [
    {
     "paper_key": "doi:10.1126/science.adq2852"
    },
    {
     "paper_key": "doi:10.1038/s41562-024-01959-9"
    },
    {
     "paper_key": "doi:10.48550/arxiv.2211.15006"
    }
   ],
   "role": "Assistant professor, MIT Sloan School of Management",
   "sources": [
    {
     "title": "Michiel Anton Bakker — MIT Sloan faculty directory",
     "url": "https://mitsloan.mit.edu/faculty/directory/michiel-anton-bakker"
    },
    {
     "paper_key": "doi:10.1126/science.adq2852",
     "published": false,
     "title": "AI can help humans find common ground in democratic deliberation",
     "url": "https://doi.org/10.1126/science.adq2852"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.48550/arxiv.2605.13634",
       "published": false,
       "title": "Europe and the Geopolitics of AGI: The Need for a Preparedness Plan",
       "url": "https://doi.org/10.48550/arxiv.2605.13634"
      }
     ],
     "rationale": "Argues Europe needs an AGI preparedness plan — institutional action ahead of capability arrival.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-07-17",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.48550/arxiv.2605.13634",
       "published": false,
       "title": "Europe and the Geopolitics of AGI: The Need for a Preparedness Plan",
       "url": "https://doi.org/10.48550/arxiv.2605.13634"
      }
     ],
     "rationale": "Treats AGI-level capabilities as plausible enough on near horizons to require preparedness planning today.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/michiel-bakker/"
  },
  {
   "bio_md": "Director of the FutureTech research project at MIT's Computer Science and Artificial Intelligence Laboratory, which studies the economic and technical foundations of progress in computing, and a principal investigator at the MIT Initiative on the Digital Economy. Holds a PhD in Business and Public Policy from UC Berkeley and a master's in economics from the London School of Economics. Author of work on the economics of computing and AI, including 'The Computational Limits of Deep Learning', 'The AI Risk Repository', and, with David Autor, 'Expertise'. Signed the wemustactnow.ai open letter.",
   "id": "neil-thompson",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://futuretech.mit.edu/team/neil-thompson"
    },
    {
     "kind": "other",
     "url": "https://www.csail.mit.edu/person/neil-thompson"
    }
   ],
   "name": "Neil Thompson",
   "notable_works": [
    {
     "paper_key": "title:a7af4ef2c565bf2b"
    },
    {
     "paper_key": "doi:10.1093/jeea/jvaf023"
    },
    {
     "title": "The Computational Limits of Deep Learning",
     "url": "https://arxiv.org/abs/2007.05558"
    }
   ],
   "role": "Director of MIT FutureTech, MIT Computer Science and AI Laboratory",
   "sources": [
    {
     "title": "Dr. Neil Thompson - MIT FutureTech",
     "url": "https://futuretech.mit.edu/team/neil-thompson"
    },
    {
     "title": "Neil Thompson | MIT CSAIL",
     "url": "https://www.csail.mit.edu/person/neil-thompson"
    },
    {
     "paper_key": "doi:10.1093/jeea/jvaf023",
     "published": false,
     "title": "Expertise",
     "url": "https://doi.org/10.1093/jeea/jvaf023"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "This means the impact on productivity is still relatively small.",
       "url": "https://www.itiger.com/news/1137754965"
      },
      {
       "quote": "However, we can expect this impact to gradually materialize as applications continue to expand.",
       "url": "https://www.itiger.com/news/1137754965"
      }
     ],
     "rationale": "Has said AI's productivity impact is still relatively small because practical application is limited, while expecting it to materialize gradually as applications expand.",
     "stance": "mixed"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1093/jeea/jvaf023",
       "published": false,
       "title": "Expertise",
       "url": "https://doi.org/10.1093/jeea/jvaf023"
      },
      {
       "quote": "Overall, our findings suggest that AI job displacement will be substantial, but also gradual",
       "url": "https://futuretech.mit.edu/publication/beyond-ai-exposure-which-tasks-are-cost-effective-to-automate-with-computer-vision"
      },
      {
       "quote": "we will see a large number of jobs being 'reshaped,' meaning some tasks change and some do not.",
       "url": "https://www.itiger.com/news/1137754965"
      }
     ],
     "rationale": "His research models automation as replacing some tasks while raising or lowering the expertise needed in remaining ones, and his cost-effectiveness study expects displacement to be substantial but gradual, with many jobs reshaped rather than eliminated.",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "an increasing share of income is likely to flow to capital owners",
       "url": "https://www.itiger.com/news/1137754965"
      }
     ],
     "rationale": "Has said an increasing share of income is likely to flow to capital owners as AI spreads, which he describes as a societal challenge; he does not specify a policy response in the source found.",
     "stance": "lean_agree"
    },
    {
     "claim": "pace",
     "classified": "2026-10-18",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Overall, our findings suggest that AI job displacement will be substantial, but also gradual",
       "url": "https://futuretech.mit.edu/publication/beyond-ai-exposure-which-tasks-are-cost-effective-to-automate-with-computer-vision"
      },
      {
       "quote": "Of course, there is a lag between initial adoption and full integration into production processes.",
       "url": "https://www.itiger.com/news/1137754965"
      }
     ],
     "rationale": "His study of computer-vision tasks finds only 23% of vision-task wages are currently cost-effective to automate and concludes displacement will be gradual, citing high costs of reaching required accuracy.",
     "stance": "lean_disagree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/neil-thompson/"
  },
  {
   "bio_md": "Economist at Stanford University. Author of work on uncertainty, management practices, and working arrangements, including 'Measuring Economic Policy Uncertainty' and 'Does Working from Home Work? Evidence from a Chinese Experiment'. Signed the wemustactnow.ai open letter.",
   "id": "nicholas-bloom",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [],
   "name": "Nicholas Bloom",
   "notable_works": [
    {
     "paper_key": "doi:10.1093/qje/qjw024"
    },
    {
     "paper_key": "doi:10.1093/qje/qju032"
    }
   ],
   "role": "Economist, Stanford University",
   "sources": [
    {
     "paper_key": "doi:10.1093/qje/qjw024",
     "published": false,
     "title": "Measuring Economic Policy Uncertainty*",
     "url": "https://doi.org/10.1093/qje/qjw024"
    },
    {
     "paper_key": "doi:10.1093/qje/qju032",
     "published": false,
     "title": "Does Working from Home Work? Evidence from a Chinese Experiment*",
     "url": "https://doi.org/10.1093/qje/qju032"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/nicholas-bloom/"
  },
  {
   "bio_md": "Professor of Economics at Uppsala University since 2014, working in labor economics and macroeconomics, and an affiliated professor at Uppsala University Future Institutes. Co-author of 'Mismatch of Talent: Evidence on Match Quality, Entry Wages, and Job Mobility', 'Social Networks, Employee Selection, and Labor Market Outcomes' and 'Seeking Similarity: How Immigrants and Natives Manage in the Labor Market'. Signed the wemustactnow.ai open letter.",
   "id": "oskar-skans",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "other",
     "url": "https://www.uu.se/en/contact-and-organisation/staff?query=N96-2313"
    }
   ],
   "name": "Oskar Nordström Skans",
   "notable_works": [
    {
     "paper_key": "doi:10.1257/aer.20160848"
    },
    {
     "paper_key": "doi:10.1086/686253"
    },
    {
     "paper_key": "doi:10.1086/674985"
    }
   ],
   "role": "Professor of Economics, Uppsala University",
   "sources": [
    {
     "title": "Oskar Nordström Skans - Uppsala University staff page (Professor of Economics since 2014; labor economics, macroeconomics)",
     "url": "https://www.uu.se/en/contact-and-organisation/staff?query=N96-2313"
    },
    {
     "paper_key": "doi:10.1257/aer.20160848",
     "published": false,
     "title": "Mismatch of Talent: Evidence on Match Quality, Entry Wages, and Job Mobility",
     "url": "https://doi.org/10.1257/aer.20160848"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-10-26",
   "url": "https://wemustactnow.onrender.com/authors/oskar-skans/"
  },
  {
   "bio_md": "Listed with an OpenAI affiliation as a co-author of 'GPTs are GPTs: Labor market impact potential of LLMs' (Science, 2024), with Tyna Eloundou, Sam Manning and Daniel Rock, which estimates the share of U.S. workers whose tasks are exposed to large language models. Also co-author of 'Winners and losers of generative AI: Early evidence of shifts in freelancer demand' and 'Extending GPTs Are GPTs to Firms'. Signed the wemustactnow.ai open letter.",
   "id": "pamela-mishkin",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "other",
     "url": "https://openai.com/index/gpts-are-gpts/"
    }
   ],
   "name": "Pamela Mishkin",
   "notable_works": [
    {
     "paper_key": "doi:10.1126/science.adj0998"
    },
    {
     "paper_key": "doi:10.1016/j.jebo.2024.106845"
    },
    {
     "paper_key": "doi:10.1257/pandp.20251045"
    }
   ],
   "role": "Researcher; OpenAI affiliation on 'GPTs are GPTs'",
   "sources": [
    {
     "title": "GPTs are GPTs: Labor market impact potential of LLMs - Science (author list with OpenAI affiliation)",
     "url": "https://www.science.org/doi/10.1126/science.adj0998"
    },
    {
     "title": "GPTs are GPTs - OpenAI (authors Eloundou, Mishkin, Rock, Manning)",
     "url": "https://openai.com/index/gpts-are-gpts/"
    },
    {
     "paper_key": "doi:10.1016/j.jebo.2024.106845",
     "published": false,
     "title": "Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand",
     "url": "https://doi.org/10.1016/j.jebo.2024.106845"
    },
    {
     "paper_key": "doi:10.1257/pandp.20251045",
     "published": false,
     "title": "Extending “GPTs Are GPTs” to Firms",
     "url": "https://doi.org/10.1257/pandp.20251045"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-19",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.48550/arxiv.2303.10130",
       "published": true,
       "title": "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models",
       "url": "http://arxiv.org/abs/2303.10130"
      }
     ],
     "rationale": "Co-authored paper characterizes large language models as general-purpose technologies, estimating that about 80% of U.S. workers could see at least 10% of their tasks affected; it measures exposure and explicitly makes no adoption-timeline prediction.",
     "stance": "lean_agree"
    },
    {
     "claim": "jobs",
     "classified": "2026-10-19",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1016/j.jebo.2024.106845",
       "published": false,
       "title": "Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand",
       "url": "https://doi.org/10.1016/j.jebo.2024.106845"
      }
     ],
     "rationale": "Co-authored study finds freelance demand for skills substitutable by generative AI, such as writing and translation, fell 20-50% relative to trend, while demand rose in complementary or unaffected skill clusters.",
     "stance": "mixed"
    }
   ],
   "updated": "2026-10-19",
   "url": "https://wemustactnow.onrender.com/authors/pamela-mishkin/"
  },
  {
   "bio_md": "Economist. Author, with Daron Acemoglu, of work on automation and labor markets, including 'Robots and Jobs: Evidence from US Labor Markets', 'The Race between Man and Machine', and 'Automation and New Tasks: How Technology Displaces and Reinstates Labor', and of 'Artificial Intelligence and Jobs: Evidence from Online Vacancies'. Signed the wemustactnow.ai open letter.",
   "id": "pascual-restrepo",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [],
   "name": "Pascual Restrepo",
   "notable_works": [
    {
     "paper_key": "doi:10.1086/705716"
    },
    {
     "paper_key": "doi:10.1257/jep.33.2.3"
    },
    {
     "paper_key": "doi:10.1086/718327"
    }
   ],
   "role": "Economist; research on automation and labor markets",
   "sources": [
    {
     "paper_key": "doi:10.1086/705716",
     "published": false,
     "title": "Robots and Jobs: Evidence from US Labor Markets",
     "url": "https://doi.org/10.1086/705716"
    },
    {
     "paper_key": "doi:10.1257/jep.33.2.3",
     "published": false,
     "title": "Automation and New Tasks: How Technology Displaces and Reinstates Labor",
     "url": "https://doi.org/10.1257/jep.33.2.3"
    },
    {
     "paper_key": "doi:10.1086/718327",
     "published": false,
     "title": "Artificial Intelligence and Jobs: Evidence from Online Vacancies",
     "url": "https://doi.org/10.1086/718327"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-26",
     "confidence": "medium",
     "evidence": [
      {
       "quote": "Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth.",
       "url": "https://doi.org/10.1093/cjres/rsz022"
      }
     ],
     "rationale": "Co-authored work argues that automation-biased technological change has gone with lower productivity growth, and that AI's gains depend on creating new tasks.",
     "stance": "lean_disagree"
    },
    {
     "claim": "jobs",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1257/aer.20160696",
       "published": false,
       "title": "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment",
       "url": "https://doi.org/10.1257/aer.20160696"
      },
      {
       "paper_key": "doi:10.1093/cjres/rsz022",
       "published": false,
       "title": "The wrong kind of AI? Artificial intelligence and the future of labour demand",
       "url": "https://doi.org/10.1093/cjres/rsz022"
      }
     ],
     "rationale": "Automation displaces labor while new tasks reinstate it; he warns the current path of AI leans toward displacement ('the wrong kind of AI').",
     "stance": "mixed"
    },
    {
     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
     "evidence": [
      {
       "paper_key": "doi:10.1257/aer.20160696",
       "published": false,
       "title": "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment",
       "url": "https://doi.org/10.1257/aer.20160696"
      },
      {
       "paper_key": "doi:10.3386/w24196",
       "published": false,
       "title": "Artificial Intelligence, Automation and Work",
       "url": "https://doi.org/10.3386/w24196"
      }
     ],
     "rationale": "His work attributes a large share of rising US wage inequality to automation displacing routine task workers.",
     "stance": "agree"
    },
    {
     "claim": "regulation",
     "classified": "2026-07-17",
     "confidence": "low",
     "evidence": [
      {
       "paper_key": "doi:10.1093/cjres/rsz022",
       "published": false,
       "title": "The wrong kind of AI? Artificial intelligence and the future of labour demand",
       "url": "https://doi.org/10.1093/cjres/rsz022"
      },
      {
       "quote": "Signed the wemustactnow.ai open letter urging policymakers to prepare for AI's economic impact",
       "url": "https://wemustactnow.ai"
      }
     ],
     "rationale": "Argues the direction of AI research is a social choice that policy should influence.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/pascual-restrepo/"
  },
  {
   "bio_md": "Shirley and Leonard Ely Professor of Humanities and Sciences at Stanford University, on the Stanford faculty since 1987. Co-recipient, with Robert B. Wilson, of the 2020 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 'for improvements to auction theory and inventions of new auction formats'. Helped design US Federal Communications Commission radio spectrum auctions, including the simultaneous multiple round auction and the broadcast incentive auction, and co-founded the market design company Auctionomics. Author of work on auction and market design, including 'Clock Auctions and Radio Spectrum Reallocation' and 'How Artificial Intelligence and Machine Learning Can Impact Market Design'. Signed the wemustactnow.ai open letter.",
   "id": "paul-milgrom",
   "labels": [
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   ],
   "links": [
    {
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    {
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     "url": "https://en.wikipedia.org/wiki/Paul_Milgrom"
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   ],
   "name": "Paul Milgrom",
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     "paper_key": "doi:10.1086/704074"
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    {
     "paper_key": "doi:10.3386/w24282"
    },
    {
     "paper_key": "doi:10.1073/pnas.1701997114"
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   ],
   "role": "Economist, Stanford University; Nobel laureate 2020",
   "sources": [
    {
     "title": "Paul Milgrom - Wikipedia (Ely Professor at Stanford since 1987, 2020 Nobel with Robert Wilson, FCC auction design)",
     "url": "https://en.wikipedia.org/wiki/Paul_Milgrom"
    },
    {
     "title": "Stanford economists Paul Milgrom and Robert Wilson win the Nobel in economic sciences | Stanford Report",
     "url": "https://news.stanford.edu/stories/2020/10/stanford-economists-paul-milgrom-robert-wilson-win-nobel-economic-sciences"
    },
    {
     "title": "Auctionomics co-founder Paul Milgrom wins Nobel prize",
     "url": "https://www.auctionomics.com/prof-paul-milgrom/auctionomics-co-founder-paul-milgrom-wins-nobel-prize"
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     "title": "Clock Auctions and Radio Spectrum Reallocation",
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    {
     "paper_key": "doi:10.3386/w24282",
     "published": false,
     "title": "How Artificial Intelligence and Machine Learning Can Impact Market Design",
     "url": "https://doi.org/10.3386/w24282"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
     "classified": "2026-10-18",
     "confidence": "low",
     "evidence": [
      {
       "quote": "It will likely transform entire economies.",
       "url": "https://www.ukforum.cz/en/main-categories/science/a-passion-for-theoretical-research-on-practical-problems"
      },
      {
       "quote": "I'm an optimist and sceptical at the same time.",
       "url": "https://www.ukforum.cz/en/main-categories/science/a-passion-for-theoretical-research-on-practical-problems"
      }
     ],
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   ],
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  },
  {
   "bio_md": "Economist. Author of work on innovation, competition, and economic growth, including 'Competition and Innovation: An Inverted-U Relationship' and 'Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry'. Co-recipient of the 2025 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Signed the wemustactnow.ai open letter.",
   "id": "philippe-aghion",
   "labels": [
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   ],
   "links": [
    {
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     "url": "https://en.wikipedia.org/wiki/Philippe_Aghion"
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   ],
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     "paper_key": "doi:10.1920/wp.ifs.2002.0204"
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    {
     "paper_key": "doi:10.1086/684581"
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   ],
   "role": "Economist; research on innovation and growth",
   "sources": [
    {
     "paper_key": "doi:10.1920/wp.ifs.2002.0204",
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     "title": "Competition and innovation: an inverted U relationship",
     "url": "https://doi.org/10.1920/wp.ifs.2002.0204"
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    {
     "paper_key": "doi:10.1086/684581",
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     "title": "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry",
     "url": "https://doi.org/10.1086/684581"
    },
    {
     "title": "The Sveriges Riksbank Prize in Economic Sciences 2025",
     "url": "https://www.nobelprize.org/prizes/economic-sciences/2025/summary/"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "productivity",
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      {
       "paper_key": "doi:10.3386/w23928",
       "published": false,
       "title": "Artificial Intelligence and Economic Growth",
       "url": "https://doi.org/10.3386/w23928"
      }
     ],
     "rationale": "Models how AI can accelerate growth, but argues gains are constrained by bottleneck sectors that resist automation (Baumol's cost disease).",
     "stance": "mixed"
    },
    {
     "claim": "regulation",
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     "evidence": [
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       "paper_key": "doi:10.3386/w23928",
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       "title": "Artificial Intelligence and Economic Growth",
       "url": "https://doi.org/10.3386/w23928"
      },
      {
       "quote": "Signed the wemustactnow.ai open letter urging policymakers to prepare for AI's economic impact",
       "url": "https://wemustactnow.ai"
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     ],
     "rationale": "Argues competition and labor-market policy shape whether AI's growth benefits materialize.",
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    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/philippe-aghion/"
  },
  {
   "bio_md": "Professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania and faculty co-director of Wharton Human-AI Research. Holds a PhD in Managerial Science and Applied Economics from Wharton and S.B. and M.Eng. degrees in electrical engineering and computer science from MIT. Author of work on the economics of technology and labor, including 'Digital Capital and Superstar Firms', 'Reskilling the Workforce for AI', and audits of language models in hiring, and co-author of 'The Talent Equation' (2013). Signed the wemustactnow.ai open letter.",
   "id": "prasanna-tambe",
   "labels": [
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   ],
   "links": [
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    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=UXmpersAAAAJ&hl=en"
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   ],
   "name": "Prasanna Tambe",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w28285"
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    {
     "paper_key": "doi:10.1287/mnsc.2022.03968"
    },
    {
     "paper_key": "doi:10.48550/arxiv.2404.03086"
    }
   ],
   "role": "Professor, Wharton School, University of Pennsylvania",
   "sources": [
    {
     "title": "Prasanna Tambe - Professor, Wharton School",
     "url": "https://tambep.github.io/"
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    {
     "title": "Prasanna (Sonny) Tambe - Wharton OID",
     "url": "https://oid.wharton.upenn.edu/profile/tambe/"
    },
    {
     "paper_key": "doi:10.3386/w28285",
     "published": false,
     "title": "Digital Capital and Superstar Firms",
     "url": "https://doi.org/10.3386/w28285"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
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   ],
   "stances": [
    {
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       "paper_key": "doi:10.1287/mnsc.2022.03968",
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       "title": "Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy",
       "url": "https://doi.org/10.1287/mnsc.2022.03968"
      },
      {
       "quote": "a more likely scenario is that AI will create more tasks for workers to do, while also making them more productive",
       "url": "https://mackinstitute.wharton.upenn.edu/2024/mack-executive-director-valery-yakubovich-and-co-authors-in-wall-street-journal-ai-adoption-and-the-workforce/"
      }
     ],
     "rationale": "His research finds AI creates the most value as a complement to domain expertise, and a co-authored op-ed expects AI to make workers more productive while adding tasks.",
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    {
     "claim": "jobs",
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     "confidence": "medium",
     "evidence": [
      {
       "quote": "But if they do, it will create more jobs than it eliminates, as has virtually all technology in the past.",
       "url": "https://mackinstitute.wharton.upenn.edu/2024/mack-executive-director-valery-yakubovich-and-co-authors-in-wall-street-journal-ai-adoption-and-the-workforce/"
      }
     ],
     "rationale": "A co-authored op-ed argues AI is more likely to add tasks than eliminate jobs and predicts it will create more jobs than it eliminates, as past technologies have.",
     "stance": "disagree"
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   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/prasanna-tambe/"
  },
  {
   "bio_md": "Mary V. and Mark A. Stevens Associate Professor of Business Administration in the Strategy Unit at Harvard Business School. Co-founder and co-director of the Tech for All Lab at Harvard's Digital, Data, and Design Institute, and an associate editor at Management Science. PhD from the Stanford Graduate School of Business. Studies entrepreneurship and technology adoption using field experiments; author of work on generative AI and entrepreneurship, including 'The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya' and 'Global Evidence on Gender Gaps and Generative AI'. Signed the wemustactnow.ai open letter.",
   "id": "rembrand-koning",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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   ],
   "name": "Rembrand Koning",
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    {
     "paper_key": "doi:10.31219/osf.io/h6a7c"
    },
    {
     "paper_key": "doi:10.1257/pandp.20201045"
    }
   ],
   "role": "Associate professor, Harvard Business School",
   "sources": [
    {
     "title": "Rembrand M. Koning — Harvard Business School faculty profile",
     "url": "https://www.hbs.edu/faculty/Pages/profile.aspx?facId=876389"
    },
    {
     "paper_key": "doi:10.1287/mnsc.2024.06909",
     "published": false,
     "title": "The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya",
     "url": "https://doi.org/10.1287/mnsc.2024.06909"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
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     "claim": "inequality",
     "classified": "2026-07-17",
     "confidence": "medium",
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       "paper_key": "doi:10.31219/osf.io/hdjpk",
       "published": false,
       "title": "The Uneven Impact of Generative AI on Entrepreneurial Performance",
       "url": "https://doi.org/10.31219/osf.io/hdjpk"
      },
      {
       "paper_key": "doi:10.31219/osf.io/h6a7c",
       "published": false,
       "title": "Global Evidence on Gender Gaps and Generative AI",
       "url": "https://doi.org/10.31219/osf.io/h6a7c"
      }
     ],
     "rationale": "Finds generative AI's benefits are uneven — across entrepreneurs and along global gender gaps in adoption.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/rembrand-koning/"
  },
  {
   "bio_md": "W.M. Keck Professor and Professor of Management Science and Engineering at Stanford University and Faculty Director of the Stanford Technology Ventures Program. Holds a PhD in technology strategy from the University of Texas at Austin and a doctorate in engineering from Helsinki University of Technology. Her research examines technology strategy, innovation, entrepreneurship, and technology regulation, including 'Innovation and profitability following antitrust intervention against a dominant platform' and 'The lean startup method: Early-stage teams and hypothesis-based probing of business ideas'. Fellow of the Academy of Management and the Strategic Management Society; elected to the Finnish Academy of Science and Letters in 2025. Signed the wemustactnow.ai open letter.",
   "id": "riitta-katila",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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     "url": "https://msande.stanford.edu/people/riitta-katila"
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     "kind": "homepage",
     "url": "https://web.stanford.edu/~rkatila/lagunita/index.html"
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   ],
   "name": "Riitta Katila",
   "notable_works": [
    {
     "paper_key": "doi:10.1002/smj.3470"
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    {
     "paper_key": "doi:10.1002/sej.1373"
    },
    {
     "paper_key": "doi:10.1145/3593013.3593990"
    }
   ],
   "role": "W.M. Keck Professor of Management Science & Engineering, Stanford",
   "sources": [
    {
     "title": "Riitta Katila | Stanford Management Science and Engineering (W.M. Keck Professor, STVP Faculty Director, degrees, fellowships, Finnish Academy 2025)",
     "url": "https://msande.stanford.edu/people/riitta-katila"
    },
    {
     "paper_key": "doi:10.1002/smj.3470",
     "published": false,
     "title": "Innovation and profitability following antitrust intervention against a dominant platform: The wild, wild west?",
     "url": "https://doi.org/10.1002/smj.3470"
    },
    {
     "paper_key": "doi:10.1002/sej.1373",
     "published": false,
     "title": "The lean startup method: Early‐stage teams and hypothesis‐based probing of business ideas",
     "url": "https://doi.org/10.1002/sej.1373"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/riitta-katila/"
  },
  {
   "bio_md": "Professor of Sociology at Stanford University, with courtesy appointments in psychology and organizational behavior. Directs the Politics and Social Change Lab and the AI for Public Benefit Lab, and co-directs the Center on Philanthropy and Civil Society. PhD from Cornell University (2006). His research examines American political attitudes, polarization, persuasion, and cooperation, including 'LLM-generated messages can persuade humans on policy issues' (Nature Communications, 2025) and, with Matthew Feinberg, 'From Gulf to Bridge: When Do Moral Arguments Facilitate Political Influence?', part of a line of work on moral reframing in political persuasion. Signed the wemustactnow.ai open letter.",
   "id": "robb-willer",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.robbwiller.org/"
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    {
     "kind": "other",
     "url": "https://sociology.stanford.edu/people/robb-willer"
    }
   ],
   "name": "Robb Willer",
   "notable_works": [
    {
     "paper_key": "doi:10.1038/s41467-025-61345-5"
    },
    {
     "paper_key": "doi:10.1177/0146167215607842"
    },
    {
     "paper_key": "doi:10.1111/pops.12337"
    }
   ],
   "role": "Professor of Sociology, Stanford University",
   "sources": [
    {
     "title": "About | Robb Willer (Politics and Social Change Lab, AI for Public Benefit Lab, Center on Philanthropy and Civil Society)",
     "url": "https://www.robbwiller.org/about"
    },
    {
     "title": "Robb Willer | Stanford Department of Sociology (professor of sociology, courtesy appointments, Cornell PhD 2006)",
     "url": "https://sociology.stanford.edu/people/robb-willer"
    },
    {
     "paper_key": "doi:10.1038/s41467-025-61345-5",
     "published": false,
     "title": "LLM-generated messages can persuade humans on policy issues",
     "url": "https://doi.org/10.1038/s41467-025-61345-5"
    },
    {
     "paper_key": "doi:10.1177/0146167215607842",
     "published": false,
     "title": "From Gulf to Bridge",
     "url": "https://doi.org/10.1177/0146167215607842"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "regulation",
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     "evidence": [
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       "paper_key": "doi:10.1038/s41467-025-61345-5",
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       "title": "LLM-generated messages can persuade humans on policy issues",
       "url": "https://doi.org/10.1038/s41467-025-61345-5"
      },
      {
       "quote": "AI has the potential to influence political discourse, and we should get out in front of these issues from the start.",
       "url": "https://hai.stanford.edu/news/ais-powers-political-persuasion"
      }
     ],
     "rationale": "His experiments find that LLM-generated messages can shift people's policy attitudes, and he has said this raises high-stakes questions for lawmakers that should be addressed early; his stated position concerns AI in political persuasion rather than AI regulation generally.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/robb-willer/"
  },
  {
   "bio_md": "Assistant Professor of Management Science at the Argyros College of Business and Economics, Chapman University, and a Digital Fellow at the Stanford Digital Economy Lab. Author of work on AI, skills, and labor markets, including 'Connecting higher education to workplace activities and earnings' and 'AI-exposed jobs deteriorated before ChatGPT'. Previously a postdoctoral associate at the MIT Initiative on the Digital Economy. PhD in economics from the University of California, Santa Barbara. Signed the wemustactnow.ai open letter.",
   "id": "sarah-bana",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
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     "kind": "scholar",
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    {
     "kind": "other",
     "url": "https://digitaleconomy.stanford.edu/people/sarah-h-bana/"
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   ],
   "name": "Sarah Bana",
   "notable_works": [
    {
     "paper_key": "doi:10.1371/journal.pone.0282323"
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    {
     "paper_key": "doi:10.48550/arxiv.2601.02554"
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    {
     "paper_key": "doi:10.1016/j.jeconom.2022.02.008"
    }
   ],
   "role": "Economist, Chapman University",
   "sources": [
    {
     "title": "Sarah H. Bana - Stanford Digital Economy Lab",
     "url": "https://digitaleconomy.stanford.edu/people/sarah-h-bana/"
    },
    {
     "title": "Dr. Sarah Bana - Chapman University faculty profile",
     "url": "https://www.chapman.edu/our-faculty/sarah-bana"
    },
    {
     "paper_key": "doi:10.1371/journal.pone.0282323",
     "published": false,
     "title": "Connecting higher education to workplace activities and earnings",
     "url": "https://doi.org/10.1371/journal.pone.0282323"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [
    {
     "claim": "jobs",
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     "evidence": [
      {
       "paper_key": "doi:10.48550/arxiv.2601.02554",
       "published": false,
       "title": "AI-exposed jobs deteriorated before ChatGPT",
       "url": "https://doi.org/10.48550/arxiv.2601.02554"
      }
     ],
     "rationale": "Documents deterioration in AI-exposed jobs, beginning even before ChatGPT.",
     "stance": "lean_agree"
    }
   ],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/sarah-bana/"
  },
  {
   "bio_md": "David Sarnoff Professor of Management at the MIT Sloan School of Management. Author of work on the economics of innovation and entrepreneurship, including 'The Impact of Artificial Intelligence on Innovation' (with Iain Cockburn and Rebecca Henderson) and 'Foundations of Entrepreneurial Strategy'. Co-founder of the MIT Regional Entrepreneurship Acceleration Program and former director of the NBER Innovation Policy Working Group. Received the Kauffman Prize Medal in 2005. Previously on the faculty of the Kellogg School of Management. PhD in economics from Stanford University. Signed the wemustactnow.ai open letter.",
   "id": "scott-stern",
   "labels": [
    "AI-written, evidence-cited editorial content; see the methods and labeling rules at /about/"
   ],
   "links": [
    {
     "kind": "homepage",
     "url": "https://www.scott-stern.com/"
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    {
     "kind": "scholar",
     "url": "https://scholar.google.com/citations?user=5opEOuMAAAAJ"
    },
    {
     "kind": "other",
     "url": "https://mitsloan.mit.edu/faculty/directory/scott-stern"
    }
   ],
   "name": "Scott Stern",
   "notable_works": [
    {
     "paper_key": "doi:10.3386/w24449"
    },
    {
     "paper_key": "doi:10.1002/smj.3010"
    }
   ],
   "role": "Economist, MIT Sloan School of Management",
   "sources": [
    {
     "title": "Scott Stern - MIT Sloan faculty directory",
     "url": "https://mitsloan.mit.edu/faculty/directory/scott-stern"
    },
    {
     "title": "Scott Stern - NBER",
     "url": "https://www.nber.org/people/scott_stern"
    },
    {
     "paper_key": "doi:10.3386/w24449",
     "published": false,
     "title": "The Impact of Artificial Intelligence on Innovation",
     "url": "https://doi.org/10.3386/w24449"
    },
    {
     "quote": "Signed the wemustactnow.ai open letter",
     "url": "https://wemustactnow.ai"
    }
   ],
   "stances": [],
   "updated": "2026-07-18",
   "url": "https://wemustactnow.onrender.com/authors/scott-stern/"
  },
  {
   "bio_md": "Ronald A. Kurtz (1954) Professor of Entrepreneurship at the MIT Sloan School of Management and head of its Global Economics and Management group; co-director of MIT's Stone Center on Inequality and Shaping the Future of Work. Received the 2024 Sveriges Riksbank Prize in Economic Sciences in memory of Alfred Nobel with Daron Acemoglu and James A. Robinson. Chief economist of the International Monetary Fund in 2007-08. Co-author with Acemoglu of 'Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity'. Named in June 2026 by the UK government as chair of a new AI Economics Institute. Signed the wemustactnow.ai open letter.",
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   "bio_md": "Patrick J. McGovern (1959) Professor of Management at the MIT Sloan School of Management and founding director of the MIT Center for Collective Intelligence. Co-author of 'Evidence for a Collective Intelligence Factor in the Performance of Human Groups' (Science, 2010) and 'Collective Intelligence and Group Performance'. Signed the wemustactnow.ai open letter.",
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