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The Household Impact of Generative AI: Evidence from Internet Browsing Behavior

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  • Michael Blank
  • Gregor Schubert
  • Miao Ben Zhang

Abstract

This paper studies the impact of generative AI on U.S. households' task allocation at home, using detailed Internet browsing data from a large sample of home devices between 2021 and 2024. Leveraging pre-ChatGPT browsing patterns, we measure households' exposure to ChatGPT and use it as an instrument for ChatGPT adoption during the post-release period. Our IV estimates show that adopting generative AI substantially increases leisure browsing on home devices while leaving time spent on productive digital tasks unchanged. To examine mechanisms, we infer the purpose of households' ChatGPT use from surrounding internet activity and find that households primarily employ it for productive non-market tasks. Together, these results suggest that generative AI frees up leisure time by raising the efficiency of productive digital activities. Interpreting these findings through a standard time-allocation model implies economically large productivity gains from generative AI at home.

Suggested Citation

  • Michael Blank & Gregor Schubert & Miao Ben Zhang, 2026. "The Household Impact of Generative AI: Evidence from Internet Browsing Behavior," Papers 2603.03144, arXiv.org.
    • Handle: RePEc:arx:papers:2603.03144
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    References listed on IDEAS

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