Firm Data on AI

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

No 34836, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: E0 (search for similar items in EconPapers)
Date: 2026-02
Note: DAE EFG ITI LS ME PR
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