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
Michael A. Navarrete: Federal Reserve Bank of Atlanta
Pawel Smietanka: Deutsche Bundesbank
Gregory Thwaites: University of Nottingham
Ben Zhe Wang: Macquarie University

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

Abstract: We survey nearly 6,000 senior business executives at US, UK, German, and Australian firms to develop new evidence on AI adoption and its effects on jobs, productivity, and output. Specifically, we ask executives about AI usage, its effects at their own firms over the past three years and, looking ahead, what they anticipate over the next three years. We find four main results. First, 69% of firms actively use AI, with higher usage rates at younger and more productive firms. Second, more than two thirds of executives regularly use AI, but their usage rate averages only 1.5 hours a week. Third, executives report little own-firm impact of AI over the last 3 years, with nine-in-ten reporting no impact on employment or productivity. Fourth, these same executives predict sizable effects over the next 3 years, predicting that AI will boost productivity at their firms by an average of 1.4%, raise output 0.8%, and cut employment 0.7%. In contrast, employees anticipate that AI will raise employment 0.5% at their firms in the next 3 years, highlighting an expectations gap between employers and Employees.

JEL-codes: C83 D22 D84 J23 J24 (search for similar items in EconPapers)
Pages: 69 pages
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://repec.bfi.uchicago.edu/RePEc/pdfs/BFI_WP_2026-47.pdf (application/pdf)

Related works:
Working Paper: Firm Data on AI (2026)
Working Paper: Firm Data on AI (2026)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bfi:wpaper:2026-47

Access Statistics for this paper

More papers in Working Papers from Becker Friedman Institute for Research In Economics Contact information at EDIRC.
Bibliographic data for series maintained by Toni Shears ( this e-mail address is bad, please contact ).