The 5-Minute
AI Decision
How I decide AI in production. One email a week. One signal, one decision it forces, one framework that explains why. Five minutes to read. Use it all week.
Past Issues
Why Your AI Keeps Feeling Disposable
Anthropic's latest enterprise expansion celebrates bigger models and bigger deals. But the companies pulling ahead this year aren't winning on model choice. They're winning on the memory layer around it. The model is rented. The harness is yours.
72% of CEOs Now Own the AI Decision. Most Don't Have a Framework for Making It.
BCG surveyed 2,360 executives and found that 72% of CEOs are now their company's chief AI decision maker, double from last year. Half believe their job is on the line. The 15% pulling ahead aren't spending more, they're learning faster.
The Org Chart Is the Bottleneck. Two Companies Just Proved It.
McKinsey deployed 25,000 AI agents alongside 40,000 humans and cut 25% of back-office roles. Zuckerberg is building an AI deputy to bypass his own management layers. Two very different companies reached the same conclusion: the structure is the constraint, not the technology.
Your Team Hit the AI Tool Wall. They Just Haven't Told You Yet.
BCG and UC Riverside studied 1,488 workers and found a tipping point: productivity gains from AI tools collapse at four or more. The cost is 39% more errors, 33% more decision fatigue, and a third of your best people planning to quit. The question isn't how many tools you've deployed. It's how many your people can actually absorb.
94% Will Keep Spending. Half Think Their Jobs Depend on It.
BCG surveyed 2,360 executives and found CEOs doubling AI budgets while half believe their careers depend on the results. The difference between winners and the rest isn't budget size. It's whether the money builds autonomy or deepens dependency.