That won't even be a real job. How exactly will there be this complex intelligence that can solve all these real world problems, but can't handle some ambiguity in some inputs it is provided? Wouldn't the ultra smart AI just ask clarifying questions so that literally anyone can "prompt engineer"?
As long as there is liability, there must be a human to blame, no matter how irrational. Every system has a failure mode, and ML models, especially the larger ones, often have the most odd and unique ones.
For example, we can mostly agree CLIP does a fine job classifying images, except if you glue a sticky note saying "iPod" onto an apple, it would say classify it as such.
No matter the performance, these are categorically statistical machines reaching for the most immediately useful representations, yielding an incoherent world model. These systems will be proposed as replacement to humans, they will do their best to pretend to work, they will inevitably fail over a long enough time horizon, and a human accustomed to rubber-stamping its decisions, or perhaps fooled by the shape of a correct answer, or simply tired enough to let it slip by, will take the blame.
