Studies from Federal Reserve Bank Update Current Data on Management Science (The Rapid Adoption of Generative Ai): Business – Management Science

2026 APR 03 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- Investigators publish new report on Business - Management Science. According to news reporting out of St. Louis, Missouri, by NewsRx editors, research stated, “Generative artificial intelligence (genAI) 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 a series of nationally representative U.S. surveys of genAI use at work and at home.”

Financial support for this research came from Walmart Foundation.

Our news journalists obtained a quote from the research from Federal Reserve Bank, “As of late 2024, 45% of the U.S. population age 18-64 uses genAI. Among employed respondents, 27% used genAI for work at least once in the previous week: 10% used it every workday and 17% on some but not all workdays. Relative to each technology’s first mass-market product launch, work adoption of genAI has been faster than the personal computer (PC), and overall adoption has outpaced both PCs and the internet by an even wider margin. Between 1% and 7% of all work hours are currently assisted by genAI, and respondents report time savings equivalent to 1.4% of total work hours.”

According to the news editors, the research concluded: “Potential productivity gains vary widely by industry, and firm climate and policies play an important role in adoption patterns.”

This research has been peer-reviewed.

For more information on this research see: The Rapid Adoption of Generative Ai. Management Science, 2026. Management Science can be contacted at: Informs, 5521 Research Park Dr, Suite 200, Catonsville, MD 21228, USA.

Our news journalists report that additional information may be obtained by contacting Bick Alexander, Federal Reserve Bank, St. Louis, MO 63102, United States. Additional authors for this research include Adam Blandin and David J. Deming.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1287/mnsc.2025.02523. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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