Unhappiness Signals AI Transition

High, visible employee dissatisfaction during an AI rollout can be an informative indicator — not merely a harm — that an organization is undergoing substantive structural change. Framing short‑term workplace unhappiness as a measurable proxy for deep, productive reallocation helps separate manageable transition costs from failed automation projects. — If adopted, this reframe shifts labor and industrial policy: regulators, unions, and firms should treat waves of AI‑era employee discontent as signals to invest in retraining, mediation, and redesign rather than only as evidence to block technology.