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 agr

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.