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Job Transformation, Specialization, and the Labor Market Effects of AI

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  • Freund, Lukas

    (Boston College)

  • Mann, Lukas

    (Arizona State University)

Abstract

A central effect of automation is to transform jobs - shifting their task content. We develop a general-equilibrium model of this process. Occupations bundle tasks; workers possess task-specific skills and sort by comparative advantage. When a task is automated, remaining tasks gain in importance, so wage effects depend on workers' full skill profiles. We estimate the distribution of task-specific skills and project individual-level wage effects of generative AI automation. Moderate exposure benefits workers on average but high exposure harms them, with large dispersion within occupations; the return to social skills rises, that to analytical skills falls; and low-earners gain more than high-earners. Job transformation drives these results.

Suggested Citation

  • Freund, Lukas & Mann, Lukas, 2026. "Job Transformation, Specialization, and the Labor Market Effects of AI," IZA Discussion Papers 18565, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp18565
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    1. Ludger Woessmann, 2024. "Skills and Earnings: A Multidimensional Perspective on Human Capital," Rationality and Competition Discussion Paper Series 514, CRC TRR 190 Rationality and Competition.
    2. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    3. Leonard Bocquet, 2022. "The Network Origin of Slow Labor Reallocation," Working Papers halshs-03703862, HAL.
    4. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    5. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    6. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    7. Daron Acemoglu & Fredric Kong & Pascual Restrepo, 2024. "Tasks At Work: Comparative Advantage, Technology and Labor Demand," NBER Working Papers 32872, National Bureau of Economic Research, Inc.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    9. Sergio Ocampo, 2019. "A task-based theory of occupations with multidimensional heterogeneity," 2019 Meeting Papers 477, Society for Economic Dynamics.
    10. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    11. Leah Platt Boustan & Jiwon Choi & David Clingingsmith, 2022. "Computerized Machine Tools and the Transformation of US Manufacturing," NBER Working Papers 30400, National Bureau of Economic Research, Inc.
    12. 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.
    13. Leonard Bocquet, 2022. "The Network Origin of Slow Labor Reallocation," PSE Working Papers halshs-03703862, HAL.
    14. Rafael Dix‐Carneiro, 2014. "Trade Liberalization and Labor Market Dynamics," Econometrica, Econometric Society, vol. 82(3), pages 825-885, May.
    15. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    16. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    17. Rodrigo Adão & Martin Beraja & Nitya Pandalai-Nayar, 2024. "Fast and Slow Technological Transitions," Journal of Political Economy Macroeconomics, University of Chicago Press, vol. 2(2), pages 183-227.
    18. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    19. Enghin Atalay & Phai Phongthiengtham & Sebastian Sotelo & Daniel Tannenbaum, 2020. "The Evolution of Work in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 1-34, April.
    20. Francesco Caselli & Alan Manning, 2019. "Robot Arithmetic: New Technology and Wages," American Economic Review: Insights, American Economic Association, vol. 1(1), pages 1-12, June.
    21. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    22. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    23. James Heckman & Jose Scheinkman, 1987. "The Importance of Bundling in a Gorman-Lancaster Model of Earnings," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(2), pages 243-255.
    24. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    25. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2022. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," Econometrica, Econometric Society, vol. 90(6), pages 2645-2683, November.
    26. Regula Geel & Johannes Mure & Uschi Backes-Gellner, 2011. "Specificity of occupational training and occupational mobility: an empirical study based on Lazear’s skill-weights approach," Education Economics, Taylor & Francis Journals, vol. 19(5), pages 519-535, January.
    27. 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.
    28. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    29. Per-Anders Edin & Peter Fredriksson & Martin Nybom & Björn Öckert, 2022. "The Rising Return to Noncognitive Skill," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 78-100, April.
    30. Seth Gordon Benzell & Kyle R. Myers, 2026. "Automation Experiments and Inequality," NBER Working Papers 34668, National Bureau of Economic Research, Inc.
    31. Fatih Guvenen & Burhan Kuruscu & Satoshi Tanaka & David Wiczer, 2020. "Multidimensional Skill Mismatch," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 210-244, January.
    32. Ariel Burstein & Eduardo Morales & Jonathan Vogel, 2019. "Changes in Between-Group Inequality: Computers, Occupations, and International Trade," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 348-400, April.
    33. Charles I. Jones, 2022. "The Past and Future of Economic Growth: A Semi-Endogenous Perspective," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 125-152, August.
    34. Menaka Hampole & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2025. "Artificial Intelligence and the Labor Market," NBER Working Papers 33509, National Bureau of Economic Research, Inc.
    35. Tianyu Fan, 2025. "The Labor Market Incidence of New Technologies," Papers 2504.04047, arXiv.org, revised Nov 2025.
    36. J. Carter Braxton & Bledi Taska, 2023. "Technological Change and the Consequences of Job Loss," American Economic Review, American Economic Association, vol. 113(2), pages 279-316, February.
    37. Andrea L. Eisfeldt & Gregor Schubert & Miao Ben Zhang, 2023. "Generative AI and Firm Values," NBER Working Papers 31222, National Bureau of Economic Research, Inc.
    38. Michael J. Böhm & Ben Etheridge & Aitor Irastorza-Fadrique, 2024. "The impact of labour demand shocks when occupational labour supplies are heterogeneous," IFS Working Papers W24/28, Institute for Fiscal Studies.
    39. Leonid Kogan & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2023. "Technology and Labor Displacement: Evidence from Linking Patents with Worker-Level Data," NBER Working Papers 31846, National Bureau of Economic Research, Inc.
    40. Anders Humlum & Emilie Vestergaard, 2025. "The unequal adoption of ChatGPT exacerbates existing inequalities among workers," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 122(1), pages 2414972121-, January.
    41. Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    42. Ilse Lindenlaub, 2017. "Sorting Multidimensional Types: Theory and Application," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 718-789.
    43. Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
    44. Edward P. Lazear, 2009. "Firm-Specific Human Capital: A Skill-Weights Approach," Journal of Political Economy, University of Chicago Press, vol. 117(5), pages 914-940, October.
    45. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    46. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    47. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    48. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    49. Enrique Ide & Eduard Talamas, 2023. "Artificial Intelligence in the Knowledge Economy," Papers 2312.05481, arXiv.org, revised May 2025.
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    Keywords

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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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