Andrew McAfee argues that while AI’s long-term effects remain profoundly uncertain, waiting for certainty is a strategic error. He outlines a pragmatic approach: treat AI as a top-tier strategic priority—integrated into OKRs and measured rigorously—not just an IT project. Agile methods, not rigid Waterfall planning, are essential for navigating ambiguity, enabling rapid learning and decentralized innovation. Crucially, AI doesn’t flatten competition; it magnifies differences between firms based on how well they reimagine work, deploy talent, and retain core management capabilities like orchestration. Measuring AI’s value requires outcome-focused KPIs—not just usage metrics—and vigilance against 'work slop' caused by poorly aligned incentives. Finally, McAfee warns against cutting entry-level hiring: early-career professionals drive cultural fluency with AI, serve as vital apprentices, and fuel the future talent pipeline—making their inclusion a long-term competitive necessity, not a cost to optimize away.