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The Heterogeneous Productivity Effects of Generative AI

Author

Listed:
  • David H. Kreitmeir

    (Department of Economics and SoDa Labs, Monash University)

  • Paul A. Raschky

    (Department of Economics and SoDa Labs, Monash University)

Abstract

We analyse the individual productivity effects of Italy's ban on ChatGPT, a generative pretrained transformer chatbot. We compile data on the daily coding output quantity and quality of over 36,000 GitHub users in Italy and other European countries and combine these data with the sudden announcement of the ban in a difference-in-differences framework. Among the affected users in Italy, we find a short-term increase in output quantity and quality for less experienced users and a decrease in productivity on more routine tasks for experienced users.

Suggested Citation

  • David H. Kreitmeir & Paul A. Raschky, 2024. "The Heterogeneous Productivity Effects of Generative AI," SoDa Laboratories Working Paper Series 2024-01, Monash University, SoDa Laboratories.
    • Handle: RePEc:ajr:sodwps:2024-01
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    References listed on IDEAS

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    More about this item

    Keywords

    artificial intelligence; productivity;

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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