AI is making work faster, more creative but harder to stop.

In this episode of Human+AI Impact, Dr. Sabrina Anjara is joined by Anthony Cannon to explore a less visible side of AI productivity: the rise of “always-on” work. As AI collapses the gap between idea and execution, it creates powerful flow states that can drive output, but also extend effort beyond sustainable limits.

They unpack what this new pattern of work feels like in practice, why traditional signs of burnout don’t apply, and how leaders need to rethink productivity design. Sabrina proposes stopping rules, flow boundaries, and new signals of over-engagement. Because the next challenge in AI-enabled work isn’t just performance, it’s knowing when to stop.