Gotcha, but I didn't mean it in that way. What I meant is, that problems like the case-study ones don't need a revolutionary nor an original answer which would

Gotcha, but I didn't mean it in that way. What I meant is, that problems like the case-study ones don't need a revolutionary nor an original answer which would require growth, they can be solved with old solutions which I would assume would be in some way embedded into the learning dataset of these models. Yeah, the scope of the problem is bigger, but the correct answer should come down in any case to a correct implementation of the known algorithm. The thing I'm asking is what causes the hindrance which prevents these AIs from performing in appropriate ways given old problems and old solutions.