The more I use AI, the more I realize I actually need to learn more — not less.

At first, I thought AI would mainly save time.

Less repetitive work. Faster coding. Faster research. Faster content creation.

And yeah, it does.

But something unexpected happened.

As an independent builder, I started touching more and more things that used to feel completely unrelated to my work.

How to explain a vague idea clearly. How to tell whether something actually looks good. How people understand information. Why a user behaves a certain way. How to structure a complicated system so it still makes sense. Even things like philosophy, aesthetics, psychology, information theory, and how people make decisions.

AI can generate ten solutions very quickly.

But then I’m the one who has to decide:

Which one is actually good? Which problem is worth solving? What should be automated, and what should stay human? What information matters? When is a system “good enough”?

So lately I’ve been thinking:

AI makes execution cheaper, but judgment more valuable.

Maybe the strange part of working with AI is that it doesn’t make knowledge less important.

It makes all these previously disconnected kinds of knowledge start connecting.

And honestly, I’m starting to enjoy that part.

Curious if anyone else working independently feels the same way.