Workers spend 6.4 hours weekly "botsitting" AI
A study conducted by Glean's Work AI Institute in partnership with researchers from Stanford, UC Berkeley, and Notre Dame reveals that white-collar employees spend nearly a full day's worth of work each week managing AI tools. This hidden labor of providing context, verifying outputs, and correcting errors demands significant cognitive overhead, fueling job dissatisfaction.
The promise of AI saving us time is currently a myth, as employees are now stuck in a feedback loop of babysitting unpredictable bots.
* Current AI systems are not autonomous; they act as high-maintenance interns requiring constant oversight.
* The mental fatigue of verifying and correcting AI errors offsets much of the advertised productivity gains.
* Organizations risk driving employee turnover if they prioritize deploying AI without addressing the human labor overhead required to manage it.
DISCOVERED
1h ago
2026-06-11
PUBLISHED
4h ago
2026-06-11
RELEVANCE
AUTHOR
ZeidJ
