However, it allows you to do things you don't understand. I'm again taking examples from what I see at my university (n=1): almost all students deliver complex programming projects involving multi-threading, but can't answer a basic quizz about the same language in-person. And by basic question I mean "select among the propositions listed below the correct keyword used to declare a variable in Golang". I'm not kidding, at least one-third of the class is actually answering something wrong here.
So yeah, maybe we as a society agree on the fact that those people will not be software engineers, but prompt engineers. They'll send instructions to an agent that will display text in a strange and cryptic language, and maybe when they'll press "Run" lights will be green. But as a professional, why should I hire them once they earned their diploma? They are far from being ready for the professional world, can't debug systems without using LLMs (and maybe those LLMs can't help them because the company context is too important), and most importantly they are way less capable than freshly graduated engineers from a few years back.
> 10 years from now we can all laugh at the idea of people defending doing stuff without AI assistance.
I hope so, but I'm quite pessimistic unfortunately. Expertise and focus capabilities are dying, and we are more and more relying on artificial "intelligence" and its biases. But the future will tell
