AI compresses cognitive lead times in knowledge work, shifting from preparation buffers to just-in-time responsiveness—but removing the slack that enabled resilience.

AI-assisted workflows now allow tasks historically requiring days of preparation to be completed in hours. A sales presentation that once required a week of advance notice was produced in under an hour, with the remaining time spent refining and pressure-testing the AI-generated draft.

Once AI-enabled speed becomes possible, organizational expectations permanently recalibrate: managers request work later, deadlines compress, and preparation buffers disappear. The human role shifts from generating original output to reviewing AI-generated work under intense time pressure.

The shift mirrors Just-In-Time manufacturing, which increased efficiency but stripped out resilience by removing inventory buffers. Knowledge work faces a similar risk: optimizing away cognitive slack—over-preparation, redundancy, idle thinking time, and accumulated context—may eliminate the structural resilience that previously allowed for reflection, error detection, deeper understanding, and independent judgment.