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Managers as gatekeepers in the age of AI

Author

Listed:
  • Jacob Dominski

    (University of Notre Dame)

  • Christopher Hoy

    (Institute for Fiscal Studies)

  • Cassandra Merritt

    (University of Notre Dame)

  • Yong Suk Lee

    (University of Notre Dame)

Abstract

No abstract is available for this item.

Suggested Citation

  • Jacob Dominski & Christopher Hoy & Cassandra Merritt & Yong Suk Lee, 2026. "Managers as gatekeepers in the age of AI," IFS Working Papers W26/23, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:26/23
    as

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    File URL: https://ifs.org.uk/sites/default/files/2026-04/WP202623-Managers-as-gatekeepers-in-the-age-of-AI.pdf
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    References listed on IDEAS

    as
    1. David Atkin & Azam Chaudhry & Shamyla Chaudry & Amit K. Khandelwal & Eric Verhoogen, 2017. "Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1101-1164.
    2. Jonah B. Gelbach, 2016. "When Do Covariates Matter? And Which Ones, and How Much?," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 509-543.
    3. Jacob Dominski & Yong Suk Lee, 2025. "Advancing AI Capabilities and Evolving Labor Outcomes," Papers 2507.08244, arXiv.org.
    4. Antoine Dechezleprêtre & Adrien Fabre & Tobias Kruse & Bluebery Planterose & Ana Sanchez Chico & Stefanie Stantcheva, 2025. "Fighting Climate Change: International Attitudes toward Climate Policies," American Economic Review, American Economic Association, vol. 115(4), pages 1258-1300, April.
    5. Daly, Sarah J. & Wiewiora, Anna & Hearn, Greg, 2025. "Shifting attitudes and trust in AI: Influences on organizational AI adoption," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    6. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    7. Menaka Hampole & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2025. "Artificial Intelligence and the Labor Market," NBER Working Papers 33509, National Bureau of Economic Research, Inc.
    8. Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    9. Aghion, Philippe & Tirole, Jean, 1997. "Formal and Real Authority in Organizations," Journal of Political Economy, University of Chicago Press, vol. 105(1), pages 1-29, February.
    10. Kathryn Bonney & Cory Breaux & Cathy Buffington & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Keith Savage, 2024. "Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey," NBER Working Papers 32319, National Bureau of Economic Research, Inc.
    11. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    12. Aakash Kalyani & Nicholas Bloom & Marcela Carvalho & Tarek Hassan & Josh Lerner & Ahmed Tahoun, 2025. "The Diffusion of New Technologies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 1299-1365.
    13. Leland D. Crane & Michael Green & Paul E. Soto, 2025. "Measuring AI Uptake in the Workplace," FEDS Notes 2025-02-05, Board of Governors of the Federal Reserve System (U.S.).
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