Interesting, I suppose I'm still doing debugging and finding solutions to problems even with AI coding. I think my dopamine was from problem solving, not necessarily doing the math/logic. It helps I get paid for solving problems, so more problems solved = more money. And I'd like to emphasize, I still debug.
I think it seems to crystalize out a skill set of prompt engineering, debugging, system design (especially safeguard) design and potentially testing to be the most efficient for productivity. It depends obviously what kind of coding you do. The more standard it is, the more AI can help. When you need to engineer new patterns, math, system design logic is more important.