Generative AI and the Reallocation of Time: Productivity, Leisure, and Fulfilling Work

Fuente: arXiv
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Main Authors: Suh, Donghyun, Oh, Samil
Format: Preprint
Published: 2026
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author Suh, Donghyun
Oh, Samil
author_facet Suh, Donghyun
Oh, Samil
contents Using a representative survey of Korean workers, we provide evidence on the adoption of Generative AI (GenAI) and how GenAI reallocates time at work. We find that 51.8\% of workers use GenAI for work and GenAI reduces working time by 3.8\%. However, these gains may not materialize in aggregate productivity statistics yet: the correlation between time savings and output changes is near zero. We show this disconnect arises because workers capture efficiency gains primarily as on-the-job leisure, rather than increasing their output. These findings suggest that standard productivity measures may understate AI's impact by missing non-pecuniary welfare channels.
format Preprint
id arxiv_https___arxiv_org_abs_2602_12695
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generative AI and the Reallocation of Time: Productivity, Leisure, and Fulfilling Work
Suh, Donghyun
Oh, Samil
General Economics
Economics
Using a representative survey of Korean workers, we provide evidence on the adoption of Generative AI (GenAI) and how GenAI reallocates time at work. We find that 51.8\% of workers use GenAI for work and GenAI reduces working time by 3.8\%. However, these gains may not materialize in aggregate productivity statistics yet: the correlation between time savings and output changes is near zero. We show this disconnect arises because workers capture efficiency gains primarily as on-the-job leisure, rather than increasing their output. These findings suggest that standard productivity measures may understate AI's impact by missing non-pecuniary welfare channels.
title Generative AI and the Reallocation of Time: Productivity, Leisure, and Fulfilling Work
topic General Economics
Economics
url https://arxiv.org/abs/2602.12695