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Artificial intelligence adoption and workplace training

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  • Muehlemann, Samuel

Abstract

As artificial intelligence (AI) reshapes business processes, firms must adapt their training strategies to cultivate a skilled workforce. Using German establishment-level panel data from 2019 to 2023, this study analyzes how firms adjust their training strategies following AI adoption. Staggered difference-in-differences analysis shows that sustained AI adoption is associated with a 14% increase in new apprenticeships among training firms (intensive margin), but is not linked to the training decision (extensive margin). AI adoption is also associated with a modest increase in continuing training, with resources shifting toward high-skilled employees. The results align with AI as an automation innovation that reduces demand for simple skills as well as an augmentation innovation that increases demand for more advanced skills. The German dual apprenticeship system appears critical for firms aiming to build a future-ready workforce in the age of AI.

Suggested Citation

  • Muehlemann, Samuel, 2025. "Artificial intelligence adoption and workplace training," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    • Handle: RePEc:eee:jeborg:v:238:y:2025:i:c:s0167268125003257
    DOI: 10.1016/j.jebo.2025.107206
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    References listed on IDEAS

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    1. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    2. Rammer, Christian & Doherr, Thorsten & Kinne, Jan & Lenz, David, 2024. "KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 303033.
    3. Bassanini, Andrea & Brunello, Giorgio, 2011. "Barriers to entry, deregulation and workplace training: A theoretical model with evidence from Europe," European Economic Review, Elsevier, vol. 55(8), pages 1152-1176.
    4. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    5. Andy Feng & Georg Graetz, 2020. "Training Requirements, Automation, and Job Polarisation," The Economic Journal, Royal Economic Society, vol. 130(631), pages 2249-2271.
    6. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    7. James Bessen & Maarten Goos & Anna Salomons & Wiljan van den Berge, 2025. "What Happens to Workers at Firms that Automate?," The Review of Economics and Statistics, MIT Press, vol. 107(1), pages 125-141, January.
    8. Heß, Pascal & Janssen, Simon & Leber, Ute, 2023. "The effect of automation technology on workers’ training participation," Economics of Education Review, Elsevier, vol. 96(C).
    9. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    10. Jens Mohrenweiser & Thomas Zwick & Uschi Backes‐Gellner, 2019. "Poaching and Firm‐Sponsored Training," British Journal of Industrial Relations, London School of Economics, vol. 57(1), pages 143-181, March.
    11. Brunello, Giorgio & Rückert, Désirée & Weiss, Christoph & Wruuck, Patricia, 2023. "Advanced digital technologies and investment in employee training: Complements or substitutes?," EIB Working Papers 2023/01, European Investment Bank (EIB).
    12. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    13. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    14. Gathmann, Christina & Kagerl, Christian & Pohlan, Laura & Roth, Duncan, 2024. "The pandemic push: Digital technologies and workforce adjustments," Labour Economics, Elsevier, vol. 89(C).
    15. 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.
    16. Zeev, Nadav Ben & Mokyr, Joel & van der Beek, Karine, 2017. "Flexible Supply of Apprenticeship in the British Industrial Revolution," The Journal of Economic History, Cambridge University Press, vol. 77(1), pages 208-250, March.
    17. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    18. Marc Blatter & Samuel Muehlemann & Samuel Schenker & Stefan C. Wolter, 2016. "Hiring costs for skilled workers and the supply of firm-provided training," Oxford Economic Papers, Oxford University Press, vol. 68(1), pages 238-257.
    19. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    20. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    21. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    22. 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.
    23. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    24. Samuel Muehlemann & Harald Pfeifer, 2023. "Evaluating apprenticeship training programs for firms," World of Labour, LISER, pages 506-506, March.
    25. Christian Dustmann & Uta Schönberg, 2009. "Training and Union Wages," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 363-376, May.
    26. Jansen, Anika & de Grip, Andries & Kriechel, Ben, 2017. "The effect of choice options in training curricula on the demand for and supply of apprentices," Economics of Education Review, Elsevier, vol. 57(C), pages 52-65.
    27. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
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    Cited by:

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    Keywords

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    JEL classification:

    • 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
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • 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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