One thing that comes to my mind and reminds me by looking into the examples is the fragility of existing implementation processes for quantum computers. Pulse optimisation, frequency allocation to minimise cross-talk between qubits, and the development of custom error correction codes tailored for specific quantum computers, circuits, or computations are unpredictable in their successes and, hence, inherently unscalable. It looks like the primary use for AI here is to optimise benchmark results for publishing rather than enable practical quantum computations.