Taste Is the Moat AI Can't Copy Yet
Something happened when AI writing got good: everyone’s content got the same.
The structure is there. The grammar is clean. The paragraphs are the right length. And somehow it all reads like it was produced by a committee that’s never had a bad day.
Because it was. Sort of. A model trained on consensus — on what got the most clicks, the most shares, the most approval — will always produce the most median version of a thing. Technically correct. Memorably inert.
This is where taste becomes the actual differentiator. Not intelligence. Not speed. Not volume.
What taste actually is
Taste isn’t the same thing as preference. It’s judgment — the ability to tell the difference between what’s merely correct and what’s actually good. The instinct that knows this sentence is one word too long, or that this design direction is the expected choice when the interesting choice is three steps to the left.
You can’t get that from training data. You get it from putting things into the world, watching what lands and what doesn’t, and building an internal model calibrated to your own values — not averaged over everyone else’s.
AI produces reasonable first drafts at scale. That’s genuinely useful. But taste is the edit.
Why this matters more now, not less
The flood of AI content has made one thing more valuable: a clear point of view.
Not just having opinions — everyone has those. Having opinions that are yours, consistent across everything you make, that let someone read one paragraph and know it came from you specifically.
This is what taste produces. The accumulation of choices — what topics to take, which angles to cut, when to stop — that makes work recognizable. You can’t reverse-engineer that from outputs. You can only develop it through repetition and stakes.
The reason most AI content is forgettable isn’t that it’s bad. It’s that it has no aesthetic fingerprint. Nothing accumulated behind the choices. Nothing was risked.
The moat you can still build
A few things I think hold up:
- Know what you’re not willing to make, and stick to it. Constraints are the fingerprint.
- Study the things that made you care, not just the things that performed.
- Get specific enough that a model would have to invent your life to replicate the angle.
The people most worried about AI are usually the ones whose value was in production — in being willing to write the thing fast, at volume, without particular conviction. That work is replaceable. The work that was irreplaceable before is still irreplaceable.
Taste took years to build. It’s still the one thing that shows.
That’s not a consolation prize. That’s the whole game.