The Impact of Generative AI on Productivity: Results of an Early Meta-Analysis

Tom Coupé () and Weilun Wu
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Tom Coupé: University of Canterbury, https://www.canterbury.ac.nz

Working Papers in Economics from University of Canterbury, Department of Economics and Finance

Abstract: This paper uses meta-analysis to summarize the literature that analyses the impact of generative AI on productivity. While we find substantial heterogeneity across studies, our preferred estimate suggests that on average, across a wide range of tasks, sectors, study methods and productivity measures, the use of GenAI tools increases productivity by 17 %. We further find some evidence that experimental studies show a higher association between GenAI use and productivity than quasi-experimental studies, and weak evidence that the size of the impact of GenAI tools is bigger for quantitative than for qualitative measures of productivity.

Keywords: Generative Artificial Intelligence; Productivity; Meta-Analysis (search for similar items in EconPapers)
JEL-codes: J24 O3 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2025-05-01
New Economics Papers: this item is included in nep-ain, nep-cna and nep-lma
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Persistent link: https://EconPapers.repec.org/RePEc:cbt:econwp:25/09

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