Arguments I keep making
On AI adoption, capability and the economics of the AI buildout. Most are paired with an app from the lab, so you can test the argument yourself.
- Capability
Certified is not the same as changed
Certification counts are easy to manufacture. The real test is what people do differently afterwards.
- Building with AI
I fact-checked my own simulators. Three claims were wrong.
Building with AI makes it easy to produce plausible statistics. Before publishing ten simulators, I traced every cited figure to its source.
- AI operations
I gave an AI agent a business and told it never to touch the money
Sixty sprints of an AI-operated course business, and why the guardrails matter more than the automation.
- AI adoption
Standing alone under nonstop fire
Every function is rolling out AI at once. Nobody is designing for the person who receives all of it.
- AI infrastructure
The AI buildout is a stack of mismatches
Velocity, economics, value capture and capital risk are each manageable alone. Together they explain why capacity sits idle while bills climb.
- Workforce
When should an AI-infused role cost more?
Most AI skills are becoming the baseline. A few justify a premium. The mistake is pricing them all the same way.
Shorter takes are on LinkedIn.