Generative AI

/ Adoption Tracker

Explore the trajectory of genAI adoption
The impact of generative artificial intelligence (genAI) on the economy depends on the speed and intensity of its adoption. This tracker reports results from a series of nationally representative U.S. surveys of genAI use at work and at home.
The figure shows the share of respondents who use gen AI for work, outside of work, and overall (either for work or outside of work). Intensity of use is broken down into every day last week, at least one day but not every day last week, and used but not last week.

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Overall

Usage frequency

Adoption rate (%)

No data available

Gen AI Usage
55.9%
of the U.S. population aged 18-64 uses generative AI
November 2025
Gen AI Adoption by Workers
40.7%
of the employed respondents used generative AI for work
November 2025
Work hours time saving
2%
time saved out of total work hours due to the genAI adoption
November 2025
Computer, Internet and genAI
16
years
for personal computers to reach a similar adoption level as GenAI
November 2025
Media, Reports & Policy

Forbes

AI Productivity's $4 Trillion Question: Hype, Hope And Hard Data

2026-01-20
Read

Financial Times

Where is AI showing up in the productivity data?

2026-01-04
Read

Business Insider

How AI is transforming the workplace faster than the internet

2025-12-23
Read

The Economist

Investors expect AI use to soar. That's not happening

2025-11-26
Read
Our funders
Walmart Logo
The research included in this tracker was made possible through funding from Walmart. The findings presented in this tracker are those of the authors alone and do not necessarily reflect the opinions of Walmart.
About us
Alex Bick
Alex Bick
Senior Economic Policy Advisor, Federal Reserve Bank of St. Louis
Disclaimer: The findings in this tracker are those of the authors and do not necessarily reflect the views of the Federal Reserve Bank of St. Louis, the Federal Reserve System, or the Board of Governors.
Adam Blandin
Adam Blandin
Assistant Professor of Economics, Vanderbilt University
David Deming
David Deming
Danoff Dean of Harvard College and Isabelle and Scott Black Professor of Political Economy at Harvard Kennedy School
Nathalie Gazzaneo
Nathalie Gazzaneo
Co-Director, Harvard Project on Workforce, Harvard University
Methodology Background
We visualized the combination of 5 surveys and 25,000 respondents.
This tracker visualizes data from the first nationally representative U.S. surveys of genAI usage at work and at home. Our data come from the Real-Time Population Survey (RPS), anational online labor market surveyof working-age adults aged 18-64 that has run since 2020.

RPS is designed and weighted to be nationally representative and to complement existing government surveys, such as the Current Population Survey or the American Community Survey, by carefully replicating core sections of those surveys while still leaving room for novel questions.

Disclaimer: The findings in this tracker are those of the authors and do not necessarily reflect the views of the Federal Reserve Bank of St. Louis, the Federal Reserve System, or the Board of Governors.