The Generative AI Adoption Tracker
- Project on Workforce Team
- Nov 13
- 2 min read

We are launching the Generative AI Adoption Tracker, a public resource that shares the findings of the first nationally representative U.S. survey on generative AI adoption at work and at home. Since August 2024, we have been sourcing questions about the adoption of generative AI (genAI) on a quarterly basis, as part of the Real-Time Population Survey (RPS). RPS is designed and weighted to be nationally representative and to complement existing government surveys, such as the Current Population Survey and the American Community Survey, by carefully replicating core sections of those surveys while still leaving room for novel questions.
The tracker is the first-of-its kind to draw the trajectory of genAI adoption in the U.S, including the share of working-age adults using genAI for work, outside of work, and overall (either for work or outside of work); reported time savings due to gen AI as a share of total worked hours; and comparative usage rates for gen AI, computers, and the Internet. Some of these findings, such as adoption rates at work and time savings, are further broken down by industry and occupation.
As of August 2025, 54.6% of the U.S. population aged 18-64 (up from 44.6%* in August 2024) and 37.4% of employed respondents (up from 33.3% in August 2024) have adopted genAI. Aggregate time savings due to genAI as a share of total worked hours grew to 1.7% (up from 1.4% in November 2024), offering a lens to assess the impact of genAI on labor productivity.
The tracker will continue to be updated and expanded as new data from the quarterly RPS survey waves become available. And we are actively seeking input from those using this resource to inform decisions and drive impact. If that sounds like you, please fill in this interest form to discuss your experience and contribute to our case study series.
Read the Federal Reserve Bank of St Louis On the Economy Blog
* While conducting our August 2025 survey, we tested our sequencing of questions related to generative AI awareness and use. As a result, we found that the initial results underestimated usage. In response, we applied a reweighting adjustment to our 2024 surveys and February and May 2025 surveys. (See Appendix A.2.1 in our updated working paper for details.) Our initial result for generative AI usage was 39.4% in August 2024; by revising the sequencing, our updated result for August 2024 is 44.6%.