Date context: source publication date; month precision retained where supplied
The authors analyse a representative survey of Korean workers and report time savings from generative AI with little correlation between those savings and output changes. They interpret the gains as being captured largely through leisure during work and discuss welfare benefits that standard productivity measures can miss.
Donghyun Suh and Samil Oh · 2026-02-13
Author preprint abstract and HTML checked on 7 October 2026; independent replication and peer-review status not established.
What the source shows
The authors analyse a representative survey of Korean workers and report time savings from generative AI with little correlation between those savings and output changes. They interpret the gains as being captured largely through leisure during work and discuss welfare benefits that standard productivity measures can miss. Source: Donghyun Suh and Samil Oh, 2026-02-13
What the material does not establish
This is a preprint and survey-based evidence, not a randomised causal estimate or a finding about Swedish municipal employees. Reported use, time and output require cautious interpretation. The abstract and available HTML were checked; the analysis was not independently reproduced. Source: Donghyun Suh and Samil Oh, 2026-02-13
For HR, AI + JJ
AI + JJ, application: Use the noon scenario to distinguish time, output, quality and human benefit. Which gains should be shared, who decides and what would a review of the arrangement measure? Source: Donghyun Suh and Samil Oh, 2026-02-13