Writing

In 2016, Geoffrey Hinton told a room to stop training radiologists - AI would replace them. A decade later there are more radiologists than ever, and the trading floors are empty. The prediction wasn't wrong about AI - it was wrong about which jobs, and why.

For forty years, using enterprise software has meant the same thing: open the system, find the screen, click the right things, fill the fields, submit. That front door is about to change - and most software was never built for who is about to walk through it.

Clayton Christensen showed why great companies fail: they can see the disruption coming and still can't change. AI is that disruption now - and the organizations most confident in their processes are the most exposed.

The music was always in the person's head. They just finally found an instrument they could play. Alexander the Great had Aristotle. You have Claude.

I used to make a deck in four hours. Now Claude does it in five minutes. The question is what to do with the other three hours and fifty-five minutes. Most people get it wrong.

Every task has an input, a transformation, and an output. It's the same shift software made from monoliths to microservices - now applied to business operations. Most organizations aren't ready.

We're not moving toward humans replaced by agents. We're moving toward humans with agents working alongside other humans with agents. And yes, their agents might talk to each other.

Mobile disrupted distribution. AI disrupts production itself. In 2003, Uber and Airbnb didn't exist. We're at that same inflection point - and major SaaS companies are already down 30-50%.

Your company's AI strategy is three executives who went to a conference and came back bewildered. The enterprise will move cautiously. People who quietly build fluency before the policies arrive will look like magicians.

AI is like the world's smartest person, but with amnesia all the time. Every interaction is a first date, but we're asking it to plan our wedding.