Employees Spend More Time Managing AI Than Producing Work
What happened
A Glean survey of 6,000 digital workers reveals that while AI saves employees an average of 11 hours per week, a significant portion of this time is consumed by managing AI tools rather than producing new work. This phenomenon, dubbed 'botsitting,' indicates that individual productivity gains from AI do not automatically translate to organizational performance.
Why it matters
Directors of AI/ML must recognize that simply increasing AI usage does not guarantee productivity improvements; teams are spending substantial time managing AI outputs, checking for errors, and addressing 'context problems,' necessitating investment in integrated AI platforms and strategic process redesign.
Topics
- AI Productivity
- Enterprise AI Adoption
- AI Governance
- Workforce Management
Articles in this trend
- Employees spend more time managing AI than producing work — Information and Enterprise Technology News | CIO Dive - Www.ciodive.com
- Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools — Metadata
- Quoting Andrej Karpathy — Simon Willison's Weblog
- Look in the Mirror. Stop Blaming AI. — AI on Medium
- Why Employees Aren’t Transparent About Their AI Usage — Feeds - HBR.org
- Coding Was Never the Whole Job. AI Is Proving It — HackerNoon
- Agentic AI: What Leaders Wish They Knew Sooner — MIT Sloan Management Review
- US workers are the world's biggest AI skeptics - and it's not just about job loss — News and Advice on the World's Latest Innovations | ZDNET
- AI isn’t making developers more productive – it’s making them busier — LeadDev
- Learning to lead in a hybrid human-AI enterprise — MIT Technology Review
- AI usage among white-collar workers and students in Hong Kong: survey findings — McKinsey Insights & Publications
- Babysitting the Machine: Glean's Rebecca Hinds on the Hidden Human Labor of AI at Work — The Cognitive Revolution