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I think it's a technology problem, not an intrinsic issue. Better cybernetics will enable us to scale efficient central control (while taking into account uncertainty and exploration) to increasingly large systems in the future
This is tightly related to AI as well: it's the question of local vs. global optimization in a non-differentiable system, open-ended goal-setting, objective propagation from one module to its neighbors, parent, and internal submodules...
Backprop is a centralized answer, that only applies to differentiable functions where "control" means adjusting some parameters and where the optimization objective is already known. Its range of applicability is minuscule
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