The AI Productivity Paradox: Build to Learn vs Build to Earn
Why AI speeds up output without improving outcomes, and a simple model to fix it. Here is a weird thing happening on a lot of teams. Everyone is using AI. PRs are flying. Prototypes appear in an afternoon. And yet the numbers the business cares about are not moving. Marty Cagan recently labelled th…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-09 08:23 · DEV Community — AI
The AI Productivity Paradox: Build to Learn vs Build to Earn