ML should be good at drawing basic conclusions. End users are misunderstanding the boundary between basic and advanced.

Or, to put it another way, everyone agrees there's a difference in value and quality of output between an analyst with 1 year & 10 years of experience, right? So why are we treating ML like it should be able to solve both sorts of problems equally easily?

I have faith it will get there. But it's not there yet, in a general purpose way.