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AI Working Lab: AI is Supposed to Help, So Why Are We More Burned Out?

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The relentless pressure to adopt artificial intelligence is adding to workload overload and compounding burnout for leaders and teams—creating operational friction rather than the intended productivity relief.

This interactive working session examines the root causes of AI-driven pressure and leverages AI directly as a thinking partner to challenge operational assumptions. Participants analyze workplace friction points to unlock capacity and establish sustainable, health-conscious adoption strategies.

Led by Ali Glaser, Adrienne Guerrero, Mike Hoyt, and David Scherer, this working lab equips leaders with a practical action plan to alleviate capacity constraints and foster balanced AI integration across the enterprise.

What we heard

Groups named what was already draining capacity before AI arrived, then looked at how AI multiplies that pressure. Commitments centered on protecting capacity and asking who gets the time AI gives back.

Session takeaways from ELE's Oct 1, 2026 Fall Conference: AI is Supposed to Help, So Why Are We More Burned Out?, with key points, quotes and facilitators.

"When I signed up for this job, I signed up to be an individual contributor, but I'm actually a manager of AI…"
Community voice

"It's just moving so quickly that it's like a multiplier for the unknown."
Community voice

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