88% of organizations now use AI in at least one function — yet only about 6% capture significant enterprise value (McKinsey, State of AI 2025).

🧭 Everyone adopted AI. Almost no one can prove it worked. ➡️ Not a smarter model. Not a bigger budget. A missing metric. This week the feeds were quieter on the "next big model." The line that stuck with me was Simon Sinek's: you get the behavior you measure — and most leaders are measuring the wrong thing. That is the AI story right now. We're counting adoption, not outcomes. And the data shows it 👇 ➡️ 88% of organizations now use AI in at least one function — yet only about 6% capture significant enterprise value (McKinsey, State of AI 2025). ➡️ 95% of enterprise generative AI pilots deliver little to no measurable impact on profit and loss — MIT calls it "the GenAI Divide" (MIT NANDA, 2025). ➡️ What sets the winners apart? They redesign the workflow and track the KPI (key performance indicator) — not the tool (McKinsey, 2025). ➡️ That gap — between "we use AI" and "AI moved the outcome" — is a product management job. PMs don't adopt technology. They point it at one real problem and measure whether it moved. ✨ One behavior worth passing on: choose the problem before the tool. ➡️ Name the single outcome that matters. ➡️ Redesign the workflow around it — don't bolt AI on. ➡️ Define what success looks like before you ship. 💡 Adoption isn't impact. Measure the outcome, not the activity. 🤔 This is how I work too: I let Claude Cowork clear the noise — the reports, the status-chasing — so the reclaimed time goes to the one question that counts: did it actually move the number? ➡️ The winners of this next phase won't use AI the most. They'll measure it the best. 💬 What's the one metric you'd trust to tell you your AI is actually working? 👇 — Fernando Bello · Author of "Find the Best — A Full Guide for Product Management" · LinkedIn Top Product Management Voice #ProductManagement #ProductLeadership #AI #DataDriven #BusinessPerformance 📚 Sources for the stats: ➡️ McKinsey — "The state of AI in 2025: Agents, innovation, and transformation" (Nov 5, 2025): 88% regular AI use; ~6% high performers capturing significant enterprise value; redesigning workflows + tracking KPIs are the top differentiators → https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai ➡️ MIT NANDA — "The GenAI Divide: State of AI in Business 2025" (Aug 18, 2025): ~95% of enterprise generative AI pilots show little to no measurable profit-and-loss impact; only ~5% drive rapid revenue → https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/