This idea that you can get good results from a bad process as long as you have good quality control seems… dubious, to say the least. “Sure, it’ll produce endless broken nonsense, but as long as someone is checking, it’s fine.” This, generally, doesn’t really work. You see people _try_ it in industry a bit; have a process which produces a high rate of failures, catch them in QA, rework (the US car industry used to be…
Its the same with any "general" tech. I've seen it since genetic algorithms were all the rage. Everyone reaches for the most general tool, then assumes everything that tool might be used for is now a problem or domain they are an expert in, with zero context into that domain. AI is this times 100x, plus one layer more meta, as you can optimize over approaches with zero context.