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Firm Data on AI

Author

Listed:
  • Ivan Yotzov
  • Jose Maria Barrero
  • Nicholas Bloom
  • Philip Bunn
  • Steven J. Davis
  • Kevin M. Foster
  • Aaron Jalca
  • Brent H. Meyer
  • Paul Mizen
  • Michael A. Navarrete
  • Pawel Smietanka
  • Gregory Thwaites
  • Ben Zhe Wang

Abstract

We present the first representative international data on firm-level AI use. We survey almost 6000 CFOs, CEOs and executives from stratified firm samples across the US, UK, Germany and Australia. We find four key facts. First, around 70% of firms actively use AI, particularly younger, more productive firms. Second, while over two thirds of top executives regularly use AI, their average use is only 1.5 hours a week, with one quarter reporting no AI use. Third, firms report little impact of AI over the last 3 years, with over 80% of firms reporting no impact on either employment or productivity. Fourth, firms predict sizable impacts over the next 3 years, forecasting AI will boost productivity by 1.4%, increase output by 0.8% and cut employment by 0.7%. We also survey individual employees who predict a 0.5% increase in employment in the next 3 years as a result of AI. This contrast implies a sizable gap in expectations, with senior executives predicting reductions in employment from AI and employees predicting net job creation.

Suggested Citation

  • Ivan Yotzov & Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Steven J. Davis & Kevin M. Foster & Aaron Jalca & Brent H. Meyer & Paul Mizen & Michael A. Navarrete & Pawel Smietanka & Gregory Thwai, 2026. "Firm Data on AI," NBER Working Papers 34836, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:34836
    Note: DAE EFG ITI LS ME PR
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    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General

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