Leadership–Lab–Crowd AI Playbook

Individual AI boosts don’t automatically raise firm productivity because processes, incentives, and roles aren’t redesigned. The article proposes a three‑part adoption model: leaders craft vivid end‑state visions and permission; a small applied 'lab' prototypes and evaluates use cases; and a bottom‑up 'crowd' program harvests employee experiments via bounties, leaderboards, and internal marketplaces. — This framework links micro productivity to macro outcomes by showing how institutions must reorganize to capture AI gains, guiding both corporate strategy and policy expectations.