Firm Data on AI

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 and Ivan Yotzov
Additional contact information
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

No 2026-47, Working Papers from Becker Friedman Institute for Research In Economics

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.

JEL-codes: C83 D22 D84 J23 J24 (search for similar items in EconPapers)
Date: 2026
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