Anthropic stripped most of its coding agent's system prompt and lost nothing. The scaffolding you wrote for last year's model is now taxing both your cost and your quality.
Tens of billions in AI debt is secured by GPU clusters. But the part that makes a cluster worth the loan is the team running it, and that is the one asset no lender can seize.
A hacker wiped Romania's entire land registry and its connected backups. What survived, and why, decides whether you can safely let software write to your records.
A new study found AI access cut people's willingness to admit ignorance from 44% to 3% while their confidence doubled. The real risk isn't the wrong answers.
Stack Overflow's question volume fell 78% in a year. As the public corpus freezes, competitive advantage shifts to the knowledge your company still writes down itself.
AWS just showed customers trillion-dollar bills. The real exposure is the small metering error you can't see, on a consumption cost you can neither audit nor cap.
A cached token costs a tenth of a fresh one, and coding agents hit cache most of the time. Your AI cost curve is an engineering choice, and most teams make it by accident.
Stripe and Advent bid $53 billion for PayPal. The real target is 440 million consumer accounts, arriving just as AI agents begin doing the buying for people.
Hyperscalers finance AI chips over six years but the hardware is obsolete in two or three. That gap quietly sets the compute price every AI product is planning around.
Microsoft's engineers merged 24% more pull requests with AI. The constraint didn't vanish; it moved to review, and most teams are still counting the wrong thing.
