Table Data - Generative Artificial Intelligence, Work Hours Assisted: Real Estate and Rental and Leasing

Title Generative Artificial Intelligence, Work Hours Assisted: Real Estate and Rental and Leasing
Series ID RPSGENAIWORKHOURSASSINRNE
Source Bick, Alexander, Blandin, Adam, Deming, David
Release Real-Time Population Survey: Generative Artificial Intelligence Adoption Tracker
Seasonal Adjustment Not Seasonally Adjusted
Frequency Quarterly
Units Percent
Date Range 2024-10-01 to 2026-04-01
Last Updated 2026-07-23 10:20 AM CDT
Notes This series reports the share of total work hours assisted by generative artificial intelligence among employed adults aged 18-64 in Real Estate and Rental and Leasing. Employed respondents who used generative artificial intelligence for their job last week report on how many workdays they used it (one, more than one, or every workday) and how much time they spent actively using it on those days (less than 15 minutes, 15 minutes to 1 hour, 1 to 4 hours, or more than 4 hours per day). Because both responses are bracketed, they imply a lower and an upper bound on assisted hours when combined with information on days worked and actual hours worked last week; this series reports the midpoint of the two bounds. Assisted hours are zero by construction for non-users. Data comes from the Real-Time Population Survey (RPS), a nationally representative online labor market survey of working-age adults aged 18-64 in the United States. When using this work, please cite: The Rapid Adoption of Generative AI, A. Bick, A. Blandin, and D. Deming, Management Science (2026) (https://pubsonline.informs.org/doi/10.1287/mnsc.2025.02523). See https://www.genaiadoptiontracker.com/ for more information.
DATE VALUE
2024-10-01 3.1977050533444400
2025-01-01 4.8783190944242953
2025-04-01 3.3341268997530009
2025-07-01 8.1508825785817329
2025-10-01 7.9137439191534087
2026-01-01 6.6726029362444788
2026-04-01 11.6319079256118010

Back to Top