AI was supposed to take work off our plates. Instead, many teams feel busier, more fragmented, and more exhausted than before. This session starts with the tension a lot of leaders are already feeling: if AI is driving productivity gains, why does work still feel heavier – and why are so many teams closer to burnout, not further from it? In the room, we’ll unpack where that pressure is actually coming from. Not just the usual causes of burnout, but the newer forms AI is introducing: higher output expectations, constant context-switching, decision fatigue, tool sprawl, and the quiet pressure to always be “AI-enabled.” We’ll look at how these dynamics are showing up across teams, where AI is genuinely reducing load, and where it’s simply accelerating the pace without removing the strain. You’ll leave with a clearer way to spot the difference between useful AI adoption and burnout by automation. Expect a practical framework for identifying where AI is helping, where it’s adding invisible workload, and what to change so your team gets the gains without paying for them in exhaustion.