IDEAS home Printed from https://ideas.repec.org/p/fip/l00001/98843.html
   My bibliography  Save this paper

The Rapid Adoption of Generative AI

Author

Abstract

An analysis suggests that generative AI has been quickly and widely adopted at home and in the workplace, with about 40% of the U.S. population ages 18 to 64 using it to some degree.

Suggested Citation

  • Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:l00001:98843
    as

    Download full text from publisher

    File URL: https://www.stlouisfed.org/on-the-economy/2024/sep/rapid-adoption-generative-ai
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    2. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    3. Alexander Bick & Adam Blandin & Karel Mertens, 2023. "Work from Home before and after the COVID-19 Outbreak," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 1-39, October.
    4. Paul Beaudry & Mark Doms & Ethan Lewis, 2010. "Should the Personal Computer Be Considered a Technological Revolution? Evidence from U.S. Metropolitan Areas," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 988-1036.
    5. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bloom, Nicholas & Davis, Steven J. & Hansen, Stephen & Lambert, Peter John & Sadun, Raffaella & Taska, Bledi, 2023. "Remote work across jobs, companies and space," LSE Research Online Documents on Economics 121302, London School of Economics and Political Science, LSE Library.
    2. Elisa Giannone, 2017. "Skill-Biased Technical Change and Regional Convergence," 2017 Meeting Papers 190, Society for Economic Dynamics.
    3. Rafael Novella & David Rosas-Shady & Alfredo Alvarado, 2023. "Are we nearly there yet? New technology adoption and labor demand in Peru," Science and Public Policy, Oxford University Press, vol. 50(4), pages 565-578.
    4. Yoon, Chungeun, 2023. "Technology adoption and jobs: The effects of self-service kiosks in restaurants on labor outcomes," Technology in Society, Elsevier, vol. 74(C).
    5. Raphael Bergoeing & Norman V. Loayza & Facundo Piguillem, 2016. "The Whole is Greater than the Sum of Its Parts: Complementary Reforms to Address Microeconomic Distortions," The World Bank Economic Review, World Bank, vol. 30(2), pages 268-305.
    6. Tiago Neves Sequeira & Marcelo Santos, 2019. "Technology in 1500 and genetic diversity," Empirical Economics, Springer, vol. 56(4), pages 1145-1165, April.
    7. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    8. Andrei Ternikov, 2023. "Skill preferences in job postings," Economics Bulletin, AccessEcon, vol. 43(4), pages 1928-1943.
    9. John McLaren & Su Wang, 2020. "Effects of Reduced Workplace Presence on COVID-19 Deaths: An Instrumental-Variables Approach," NBER Working Papers 28275, National Bureau of Economic Research, Inc.
    10. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
    11. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    12. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    13. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
    14. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    15. Chen, Shuo & Lan, Xiaohuan, 2020. "Tractor vs. animal: Rural reforms and technology adoption in China," Journal of Development Economics, Elsevier, vol. 147(C).
    16. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    17. Åsa Johansson, 2016. "Public Finance, Economic Growth and Inequality: A Survey of the Evidence," OECD Economics Department Working Papers 1346, OECD Publishing.
    18. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    19. Luca, Davide & Özgüzel, Cem & Wei, Zhiwu, 2024. "The spatially uneven diffusion of remote jobs in Europe," LSE Research Online Documents on Economics 122651, London School of Economics and Political Science, LSE Library.
    20. Nicole Chaudhary & Megan Jones & Sean P. M. Rice & Laura Zeigen & Saurabh Suhas Thosar, 2024. "Transitioning to Working from Home Due to the COVID-19 Pandemic Significantly Increased Sedentary Behavior and Decreased Physical Activity: A Meta-Analysis," IJERPH, MDPI, vol. 21(7), pages 1-13, June.

    More about this item

    Keywords

    generative artificial intelligence (AI); labor productivity; technology adoption;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:l00001:98843. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Scott St. Louis (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.