You're right that a human analyst - especially a very experienced one - is going to be able to still do a better job of analysis most of the time, but the AI is useful for having loops to re-examine the question, consume and curate new information, etc. We've built the system with that assumption: let humans do what they're best at, let AI do what it's best at...
But, it can simulate the output of a methodology, which is not the same thing.
The industry believes very strongly that this simulation of methodology is basically as good as the real thing (or at least "good enough" in most cases).
This belief is the fault line between the bullish and the bearish; it requires a leap of faith that not everyone is willing or capable of taking.