AI is scaling faster than the systems around it can adapt Every spring, Stanford's Institute for Human-Centered AI (HAI) publishes the AI Index Report, an independent, 400-plus-page audit of where artificial intelligence actually is rather than where Silicon Valley marketing says it is. The 9th edition landed this month, and the headline from the report's co-chairs is hard to shake: “AI is scaling faster than the systems around it can adapt.” I've distilled the report into a

Blog distinguishing between active and passive use of AI - active helps you think and learn. Passive outsources your thinking.

Agentic AI systems are no longer science fiction. They're here, they're capable, and they're rapidly being deployed across industries. But before you rush to implement them, there's a reality check we need to have: the challenges are real, and they're significant. Let me walk you through the seven critical problems that organizations are grappling with right now. 1. Reliability & Control: The "Will It Behave?" Problem Agentic systems: they can go off the rails in ways traditi

Blog about how to use multiple AI tools to create new research insights