AI can generate a thousand options in seconds. What it can't do is tell you which one is good. As generation gets free, the scarce skill isn't making things — it's knowing what's worth making. That's taste.
AI can write code faster than you can think. That's either the biggest productivity unlock in a generation or a slow erosion of real engineering skill. Which one depends entirely on how you use it.
"We're adding AI" is not a plan. It's a technology in search of a problem. The companies winning with AI didn't start with AI — they started with a problem worth solving and reached for the right tool.
We weren't failing because the product was bad. We were failing because three people were doing the work of fifteen. Here's what fixed it.
One AI that does everything sounds better than many that each do one thing. In practice, specialized assistants often crush general ones at the tasks that actually matter to you.
Every week brings a new AI breakthrough that will "change everything" — and most of it is noise. Learning to separate genuine capability from hype is now a core professional skill.
AI can write a hundred posts in minutes — and that's exactly the problem. Here's the line between AI that amplifies your voice and AI that drowns the internet in slop.
I went from 200 to 11,000 subscribers without hiring anyone. AI didn't write my newsletter — it did everything around it.
The AI conversation is obsessed with the biggest, most capable models. But for a huge range of real tasks, a smaller, faster, cheaper model is the better choice. Capability you don't need is just cost.
