I've been interpreting AI task solving capabilities as a search problem: being smarter lets us prune more of the tree and try out different things more efficiently. I think this fits into the sphere analogy quite well: at the limit, we need to experiment, use the experiments to create new abstractions and build on them repeatedly. This doesn't necessarily require more raw intelligence, but the time or resources to find how the pieces fit together.