Workers Spend Over 6 Hours Weekly Managing AI Errors, Impacting Job Satisfaction

Jun 11, 2026

AI Summary

A report reveals that white-collar workers are dedicating an average of 6.4 hours each week to 'botsitting' AI, which involves correcting mistakes and providing context. Despite the widespread use of AI, many employees feel their productivity is not translating into improved organizational performance, leading to increased job dissatisfaction.

A report from Glean's Work AI Institute indicates that white-collar workers spend an average of 6.4 hours weekly on 'botsitting' AI, which includes debugging and providing context.
The study surveyed 6,000 full-time workers in the US, UK, and Australia between December 2025 and January 2026.
While 87% of respondents use AI and 75% report increased productivity, only 13% believe their organization is performing better due to AI.
The term 'botsitting' describes the often unrecognized work required to make AI effective, which can lead to employee frustration and decreased morale.
Workers heavily engaged in botsitting are 73% more likely to seek new employment, as they feel their efforts are unappreciated.
Many employees are tasked with moving information between incompatible AI systems and automating enjoyable aspects of their jobs, which can lead to dissatisfaction.
Researchers suggest that organizations achieving the best results with AI focus on providing context, training employees, and setting clear standards for AI-assisted work.
The report warns that failing to address the challenges of botsitting may result in employee turnover and ongoing dissatisfaction with AI integration.

botsittingworkplacejob frustrationhuman laborautomation

Workers Spend Over 6 Hours Weekly Managing AI Errors, Impacting Job Satisfaction

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