Shifting Work Patterns with Generative AI

Eleanor Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton

No 33795, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: L23 M1 M15 M5 O33 (search for similar items in EconPapers)
Date: 2025-05
New Economics Papers: this item is included in nep-ain, nep-exp, nep-hrm and nep-lma
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Working Paper: Shifting Work Patterns with Generative AI (2025)
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