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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Blank, Michael, Schubert, Gregor, Zhang, Miao Ben
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918367848300544
author Blank, Michael
Schubert, Gregor
Zhang, Miao Ben
author_facet Blank, Michael
Schubert, Gregor
Zhang, Miao Ben
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_03144
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Household Impact of Generative AI: Evidence from Internet Browsing Behavior
Blank, Michael
Schubert, Gregor
Zhang, Miao Ben
General Economics
Economics
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.
title The Household Impact of Generative AI: Evidence from Internet Browsing Behavior
topic General Economics
Economics
url https://arxiv.org/abs/2603.03144