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

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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.

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  • Tom Coupé & Weilun Wu, 2025. "The Impact of Generative AI on Productivity: Results of an Early Meta-Analysis," Working Papers in Economics 25/09, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:25/09
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    File URL: https://repec.canterbury.ac.nz/cbt/econwp/2509.pdf
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    Keywords

    Generative Artificial Intelligence; Productivity; Meta-Analysis;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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