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AI adoption, productivity and employment: evidence from European firms

Author

Listed:
  • Iñaki Aldasoro
  • Leonardo Gambacorta
  • Rozalia Pal
  • Debora Revoltella
  • Christoph Weiss
  • Marcin Wolski

Abstract

This paper provides new evidence on how the adoption of artificial intelligence (AI) affects productivity and employment in Europe. Using matched EIBIS-ORBIS data on more than 12,000 non-financial firms in the European Union (EU) and United States (US), we instrument the adoption of AI by EU firms by assigning the adoption rates of US peers to isolate exogenous technological exposure. Our results show that AI adoption increases the level of labor productivity by 4%. Productivity gains are due to capital deepening, as we find no adverse effects on firm-level employment. This suggests that AI increases worker output rather than replacing labor in the short run, though longer-term effects remain uncertain. However, productivity benefits of AI adoption are unevenly distributed and concentrate in medium and large firms. Moreover, AI-adopting firms are more innovative and their workers earn higher wages. Our analysis also highlights the critical role of complementary investments in software and data or workforce training to fully unlock the productivity gains of AI adoption.

Suggested Citation

  • Iñaki Aldasoro & Leonardo Gambacorta & Rozalia Pal & Debora Revoltella & Christoph Weiss & Marcin Wolski, 2026. "AI adoption, productivity and employment: evidence from European firms," BIS Working Papers 1325, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:1325
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    References listed on IDEAS

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    1. Rajan, Raghuram G & Zingales, Luigi, 1998. "Financial Dependence and Growth," American Economic Review, American Economic Association, vol. 88(3), pages 559-586, June.
    2. Stefania Albanesi & António Dias da Silva & Juan F Jimeno & Ana Lamo & Alena Wabitsch, 2025. "New technologies and jobs in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 71-139.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Giulio Cornelli & Jon Frost & Saurabh Mishra, 2023. "Artificial intelligence, services globalisation and income inequality," BIS Working Papers 1135, Bank for International Settlements.
    5. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    6. Kathryn Bonney & Cory Breaux & Cathy Buffington & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Keith Savage, 2024. "Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey," NBER Working Papers 32319, National Bureau of Economic Research, Inc.
    7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    8. Diego A. Comin & Martí Mestieri, 2010. "An Intensive Exploration of Technology Diffusion," NBER Working Papers 16379, National Bureau of Economic Research, Inc.
    9. Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Daniel Rees, 2024. "The impact of artificial intelligence on output and inflation," BIS Working Papers 1179, Bank for International Settlements.
    10. Francesco Filippucci & Peter Gal & Matthias Schief, 2024. "Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence," OECD Artificial Intelligence Papers 29, OECD Publishing.
    11. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    12. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    13. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
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    Cited by:

    1. Tiziano Ropele & Alex Tagliabracci, 2026. "The economic impact of artificial intelligence: evidence from Italian firms," Questioni di Economia e Finanza (Occasional Papers) 1005, Bank of Italy, Economic Research and International Relations Area.

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    Keywords

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    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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