Walmart's ChatGPT checkout converted at one-third the rate of its regular website. The failure was a mismatch between what the agent was optimized for and what customers need at the moment of purchase.
Companies stopped replacing junior developers. That quiet shift is eroding the apprenticeship pipeline that produces senior engineers capable of supervising AI.
80% of AI projects fail — twice the rate of conventional IT projects. The reason is a knowledge extraction problem that starts before any technology gets built.
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.
This week's executive brief covers OpenAI's massive funding round, Anthropic's clash with the Pentagon over military AI, the US-Israel strike on Iran, and Amazon's alleged price-fixing scheme.
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.
Why Your Test Projects Never Scale
Like what you're reading?
Get new issues delivered to your inbox. One idea per issue, no spam.