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Firm Data on AI

Author

Listed:
  • Jose Maria Barrero

    (Instituto Tecnologico Autonomo de Mexico (ITAM))

  • Nicholas Bloom

    (Stanford University)

  • Philip Bunn

    (Bank of England)

  • Steven J. Davis

    (University of Chicago)

  • Kevin Foster

    (Federal Reserve Bank of Atlanta)

  • Aaron Jalca

    (Federal Reserve Bank of Atlanta)

  • Brent Meyer

    (Federal Reserve Bank of Atlanta)

  • Paul Mizen

    (King’s College London)

  • Michael A. Navarrete

    (Federal Reserve Bank of Atlanta)

  • Pawel Smietanka

    (Deutsche Bundesbank)

  • Gregory Thwaites

    (University of Nottingham)

  • Ben Zhe Wang

    (Macquarie University)

  • Ivan Yotzov

    (Bank of England)

Abstract

We survey nearly 6,000 senior business executives at firms in the United States, United Kingdom, Germany, and Australia to develop new evidence on artificial intelligence (AI) adoption and its effects on jobs, productivity, and output. We document four main findings. First, AI adoption is widespread, with 69% of firms using AI technologies, especially among younger and more productive firms. Second, executives themselves frequently use AI, though for limited time on average. Third, firms report little realized impact of AI on employment or productivity over the past three years. Fourth, executives anticipate sizable future effects, including higher productivity, increased output, and modest declines in employment. These expectations differ from those of employees, highlighting an expectations gap between firms and workers.

Suggested Citation

  • Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Steven J. Davis & Kevin Foster & Aaron Jalca & Brent Meyer & Paul Mizen & Michael A. Navarrete & Pawel Smietanka & Gregory Thwaites & Ben Zhe Wang &, 2026. "Firm Data on AI," Working Papers 2026-47, Becker Friedman Institute for Research In Economics.
    • Handle: RePEc:bfi:wpaper:2026-47
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    File URL: https://repec.bfi.uchicago.edu/RePEc/pdfs/BFI_WP_2026-47.pdf
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    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • 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

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