To put that into a scientific context - compute is capacity to do experiments and generate data ( about how best to build models ).
However I do think you are missing an important aspect - and that's people who properly understand important solvable problems.
ie I see quite a bit "we will solve this x, with AI' from startup's that don't fundamentally understand x.
>we will solve this x, with AI
You usually see this from startup techbro CEOs understand neither x nor AI. Those people are already replacable by AI today. The kind of people who think they can query ChatGPT once with "How to create a cutting edge model" and make millions. But when you go in on the deep end, there are very few people who still have enough tech knowledge to compete with your average modern LLM. And even the Math Olympiad gold medalists high-flyers at DeepSeek are about to have a run for their money with the next generation. Current AI engineers will shift more and more towards senior architecture and PM roles, because those will be the only ones that matter. But PM and architecture is already something that you could replace today.