Most organizations measure AI adoption by usage counts rather than actual value capture. A 2026 study of 22,000 developers reveals that AI-accelerated development shifts bottlenecks downstream—from code review to validation to operations—without increasing overall organizational velocity. True adoption metrics should track whether AI-built artifacts see real use beyond their creators, and organizations must implement cost discipline to manage token consumption.