Articles on AI

Anthropic's new research measures the gap between what AI can theoretically do and what people are actually using it for. The findings reshape how organizations should think about AI workforce strategy.

METR's developer productivity study collapsed because developers refuse to work without AI. What that means for how organizations should measure AI investments.

The AI failures that cost real money aren't the spectacular ones. They're quiet — silent model updates, unmonitored systems, pilot gaps, and automating broken processes.