ÌÇÐÄvlog¹ÙÍø

ÌÇÐÄvlog¹ÙÍø Authors

See citation below for complete author information.

Isabelle and Scott Black Professor of Political Economy, ÌÇÐÄvlog¹ÙÍø; Professor of Education and Economics, HGSE

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.

Citation

Bick, Alexander, Adam Blandin, and David J. Deming. "The Rapid Adoption of Generative AI." NBER Working Paper Series, September 2024.