Shifting Work Patterns with Generative AI
Not on the map. Why?
Abstract (arXiv)
We present evidence from a field experiment across 66 firms and 7,137 knowledge workers. Workers were randomly selected to access a generative AI tool integrated into applications they already used at work for email, meetings, and writing. In the second half of the 6-month experiment, the 80% of treated workers who used this tool spent two fewer hours on email each week and reduced their time working outside of regular hours. Apart from these individual time savings, we do not detect shifts in the quantity or composition of workers' tasks resulting from individual-level AI provision.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 2 of its 19 references that are in the map. First posted on arXiv 15 Apr 2025.
Builds on
2 of 19 references.
References · 2
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Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025Technological folie `a deux: Feedback Loops Between AI Chatbots and Mental Illnesscited by 15
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- 2026Generative AI in Saudi Arabia: A National Survey of Adoption, Risks, and Public Perceptionscited by 0
- 2026How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Languagecited by 0
- 2026Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Controlcited by 0
- 2026Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control5 Jul 2026
- 2026How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language29 May 2026
- 2026Generative AI in Saudi Arabia: A National Survey of Adoption, Risks, and Public Perceptions26 Jan 2026
- 2025Technological folie `a deux: Feedback Loops Between AI Chatbots and Mental Illness25 Jul 2025
- 2025When Do AI Gains Become Broadly Shareable? A Policy Threshold for AI-Driven Automation24 May 2025