Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work

2026-06-10 · Source: The Cognitive Revolution · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Intermediate, extended

Summary

Glean's Work AI Index 2026 report, based on a survey of 6,000 digital workers, reveals a significant disconnect in AI adoption. While 87% of workers use AI, reporting 73% increased productivity and an average saving of 13 hours per week, only 13% state their organization is performing significantly better. The report introduces "botsitting," the 6.4 hours per week spent on unglamorous AI labor like feeding context and debugging, and "botshitting," where 69% admit to delivering AI-generated work they cannot explain. This hidden labor and alienation predict reduced engagement and increased turnover. Solutions include integrated AI systems like Glean's Enterprise Graph, fostering a functional AI culture, and aligning work with a meaningful shared mission.

Key takeaway

For Directors of AI/ML evaluating enterprise AI strategies, recognize that individual productivity gains from AI do not automatically translate to organizational performance. Address "botsitting" by investing in integrated AI platforms that provide deep context, reducing the 6.4 hours per week employees spend on manual AI management. Cultivate a transparent AI culture that rewards effective collaboration and aligns AI use with a clear mission to mitigate "botshitting" and employee disengagement.

Key insights

AI's individual productivity gains often fail to translate to organizational performance due to hidden human labor and alienation.

Principles

• "Botsitting" consumes half of AI's reported time savings.
• "Botshitting" reflects disengagement and lack of context.
• Integrated AI platforms reduce manual context feeding.

Method

Organizations should foster AI culture by using AI detection, rewarding collaboration, and aligning work to a shared mission.

In practice

• Implement AI platforms that integrate organizational context.
• Measure AI's impact beyond individual productivity.
• Reward employees for effective AI collaboration.

Topics

• AI Adoption
• Work AI Index
• Botsitting
• Botshitting
• Enterprise AI
• Organizational Change
• Employee Productivity

Best for: CTO, Executive, AI Product Manager, Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Cognitive Revolution.