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The Rapid Adoption of Generative AI

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  • Alexander Bick
  • Adam Blandin
  • David J. Deming

Abstract

Generative Artificial Intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption. This paper reports results from the first nationally representative U.S. survey of generative AI adoption at work and at home. In August 2024, 39 percent of the U.S. population age 18-64 used generative AI. More than 24 percent of workers used it at least once in the week prior to being surveyed, and nearly one in nine used it every workday. Historical data on usage and mass-market product launches suggest that U.S. adoption of generative AI has been faster than adoption of the personal computer and the internet. Generative AI is a general purpose technology, in the sense that it is used in a wide range of occupations and job tasks at work and at home.

Suggested Citation

  • Alexander Bick & Adam Blandin & David J. Deming, 2024. "The Rapid Adoption of Generative AI," NBER Working Papers 32966, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:32966
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    References listed on IDEAS

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    5. 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.
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    Cited by:

    1. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.

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    More about this item

    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

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