I'm part of the skeptic camp, and I'd argue that we are never going to have LLMs solving all problems. Therefore, we need humans to know and understand how to solve problems. Unfortunately, when "the genie is out of the bottle" and most (but not all!) problems are solved, it becomes very very hard to argue for doing things the hard way.

Furthermore, it becomes practically impossible to argue for doing things the hard way for all of the solved problems, which were and are necessary for being able to learn the craft deeply. At the very least, deeply "enough" to advance the state of the art.

In short: 1) Humans are necessary. 2) Knowledge and experience are necessary. 3) Humans need time and practice to gain knowledge and experience.

When one side argues that one or all of the above points are false, I don't believe them.

Realistically, we are seeing people even in the most pro-AI groups begrudgingly concede #1 and #2, while expecting #3 to just sort itself out.