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Cited by 16Impact of AI and Big Data on Business and SocietyLabor market dynamics and wage inequalityArtificial Intelligence Applications

Firm Data on AI

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Yotzov, Ivan, Barrero, Jose Maria, Bloom, Nicholas, Bunn, Philip, Chawla, Chanya, Davis, Steven, Foster, Kevin, Jalca, Aaron +9 more·2026·National Bureau of Economic Research
DOI 10.3386/w34836
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  • Yotzov et al. (2026) document little self-reported impacts on past and future employment using a survey of nearly 6,000 senior executives at U.S., U.K., German and Australian firms.

    “However, using a survey of nearly 6,000 senior executives at U.S., U.K., German and Australian firms, Yotzov et al. (2026) document little self-reported impacts on past and future employment.”

    From Labor Market Consequences of Generative AI: Early Evidence from Norway (2026) · cites this paper as Yotzov et al., 2026

    The Introduction and §4.4 report survey-based estimates of little average employment impact over the past three years and a modest expected decline over the next three years. The four named countries were in the first survey wave, but the Conclusion describes the paper’s evidence as drawing on nearly 9,000 executives across seven countries, not a survey limited to nearly 6,000 in four. (LLM, conf=0.86)

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Research works printed but not linked: 23

  1. Acemoglu, D, D Autor, J Hazell and P Restrepo (2022a), "Artificial Intelligence and Jobs: Evidence from Online Vacancies", Journal of Labor Economics 40(S1).
  2. Acemoglu, D (2025), "The simple macroeconomics of AI", Economic Policy 40(121): 13-58.
  3. Altig, D, J M Barrero, N Bloom, S J Davis, B H Meyer, and N Parker (2022), "Surveying Business Uncertainty", Journal of Econometrics 231(1): 282-303.
  4. Babina, T, A Fedyk, A He and J Hodson (2024a), "Artificial intelligence, firm growth, and product innovation", Journal of Financial Economics 151: 103745.
  5. Baslandze, S, Z Edwards, J R Graham, T McClure, B H Meyer, M Sparks, S R Waddell and D Weitz (2026), "Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives", Journal of Finance: Insights and Perspectives, forthcoming
  6. Bell, Andrew M. and Gift, Thomas, (2023), "Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample" Journal of Experimental Political Science, Vol. 10(1), Spring 2023, 148-153.
  7. Bick, A, A Blandin, D J Deming, N Fuchs-Schündeln and J Jessen (2026), "Mind the Gap: AI Adoption in Europe and the U.S.", NBER Working Paper 34995. · DOI
  8. Bloom, N, C I Jones, J Van Reenen and M Webb (2020), "Are Ideas Getting Harder to Find?", American Economic Review 110(4): 1104-44.
  9. Boddin, D, M Köhler and P Smietanka (2024), "Bundesbank Online Panel -Firms Data Report 2023-07", DOI: 10.12757/BBk.BOPF.2022Q2. · DOI
  10. Brynjolfsson, E, D Li and L Raymond (2025a), "Generative AI at Work", The Quarterly Journal of Economics 140(2): 889-942. · DOI · Paper page
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  12. Choi, J H and D Schwarcz (2025), "AI Assistance in Legal Analysis: An Empirical Study", Journal of Legal Education 73(2): 384-420.
  13. Cui, Z (Kevin), M Demirer, S Jaffe, L Musolff, S Peng and T Salz (2025), "The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers", SSRN Scholarly Paper No. 4945566.
  14. Del Rio-Chanona, R. Maria, Ekkehard Ernst, Rossana Merola, Daniel Samaan, and Ole Teutloff. 2025. "AI and Jobs: A Review of Theory, Estimates, and Evidence." arXiv preprint arXiv:2509.
  15. Eisfeldt, A L, G Schubert, B Taska and M Ben Zhang (Forthcoming), "Generative AI and Firm Values", Journal of Finance.
  16. Goldin, I, P Koutroumpis, F Lafond and J Winkler (2024), "Why Is Productivity Slowing Down?", Journal of Economic Literature 62(1): 196-268.
  17. Hartley, J, F Jolevski, V Melo and B Moore (2025), "The Labor Market Effects of Generative Artificial Intelligence", SSRN Working Paper
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  19. McElheran, K, J F Li, E Brynjolfsson, Z Kroff, E Dinlersoz, L S Foster and N Zolas (2024), "AI Adoption in America: Who, What, and Where", Journal of Economics & Management Strategy 33(2): 375-415.
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Authors
Yotzov, I., Barrero, J. M., Bloom, N., Bunn, P., Chawla, C., Davis, S., Foster, K., Jalca, A., Meyer, B., Mizen, P., Navarrete, M., Oh, S., Garcia Loredo, K., Reid, M., Smietanka, P., Thwaites, G., & Wang, B. Z.
Affiliations
  • National Bureau of Economic Research (US)
  • Instituto Tecnológico Autónomo de México (MX)
  • Bank of England (GB)
  • Bank of Canada (CA)
  • Hoover Institution (US)
  • Federal Reserve Bank of Atlanta (US)
  • King's College London (GB)
  • South African Reserve Bank (ZA)
  • Deutsche Bundesbank (DE)
  • University of Nottingham (GB)
  • Bank of Korea (KR)
ORCID
Venue
National Bureau of Economic Research
Publisher
National Bureau of Economic Research
Published
2026-02
DOI
10.3386/w34836
OpenAlex
W7129037787
Cited by
16
References
0
Citations by year
2026: 16
Type
report
Language
en
Open access
Locations
National Bureau of Economic Research (publishedVersion)
Funders
  • Smith Richardson Foundation
  • Sid W. Richardson Foundation
  • Deutsche Bundesbank
  • Economic and Social Research Council
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence adoption, firm size and productivity

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