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State of AI and Society: AI's quantitative impacts on labour markets

Author

Listed:
  • Dorobantu, Cosmina
  • Balarama, Hema
  • Uppal, Akash
  • Grivokostopoulos, Aris
  • Goehmann, Maximilian
  • Margetts, Helen

Abstract

Predictions about the relationship between AI and work are running ahead of the evidence. Headlines describe autonomous systems replacing large parts of white-collar work, while the measured effects on employment and wages remain smaller, more concentrated and considerably more uncertain than the headlines imply. In this report, we outline the boundaries of our knowledge and establish what claims the evidence currently can and cannot support. In addition to the report, interested readers can explore the existing literature using two resources: an interactive literature tree and our evidence database.

Suggested Citation

  • Dorobantu, Cosmina & Balarama, Hema & Uppal, Akash & Grivokostopoulos, Aris & Goehmann, Maximilian & Margetts, Helen, 2026. "State of AI and Society: AI's quantitative impacts on labour markets," Economic History Working Papers 140781, London School of Economics and Political Science, Department of Economic History.
  • Handle: RePEc:ehl:wpaper:140781
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    File URL: https://researchonline.lse.ac.uk/id/eprint/140781/
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    References listed on IDEAS

    as
    1. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    2. Teutloff, Ole & Einsiedler, Johanna & Kässi, Otto & Braesemann, Fabian & Mishkin, Pamela & del Rio-Chanona, R. Maria, 2025. "Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
    3. Gillian K. Hadfield & Andrew Koh, 2025. "An Economy of AI Agents," Papers 2509.01063, arXiv.org.
    4. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    5. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    6. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    7. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    9. Gillian K. Hadfield & Andrew Koh, 2025. "An Economy of AI Agents," NBER Chapters, in: The Economics of Transformative AI, pages 119-138, National Bureau of Economic Research, Inc.
    10. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2025. "Robots vs. Workers: Evidence From a Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 39(5), pages 2254-2271, December.
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    Keywords

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    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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