The better AI gets, the more dangerous it becomes for most people

That sounds backwards. Surely better models mean fewer mistakes, less risk, safer to lean on?

For a capable operator, yes. For everyone else, the opposite.

Here's the mechanic almost nobody talks about. As these models improve, they don't just get more accurate. They get more fluent. More confident. More plausible. The output reads better, flows better, sounds more like an expert wrote it. And that is precisely the problem.

Because the gap between "looks right" and "is right" is widening. Early AI was often obviously wrong, and obvious wrong is safe. You catch it. You move on. The new models are subtly wrong, beautifully presented. And subtle wrong, wrapped in a confident, well-structured answer, is the most dangerous output there is, because the only thing that catches it is your own judgement.

If you have the expertise, the polish is a gift. You get expert-grade work at speed, and you still spot the flaw on line nine. If you don't, the polish is a trap. The better it looks, the less likely you are to question it.

So as the models get better, the floor doesn't rise for everyone. It rises for the people who can already tell good from good-looking. For everyone else, the floor quietly drops, because the mistakes get harder to see at the exact moment they get easier to make.

Better AI doesn't reduce the need for competence. It raises it.