People are already trying that with CAD and so on. Still, the main challenges are still there: enormous power needed to train the model (within reasonable time) and relatively powerful hardware to actually use it, inconsistency in output, bugs that you can't meaningfully debug. You might be right about many things above but so far traditional algorithms remain a far better option for many of these use cases (deterministic and efficient).