Judgment in ambiguous situations is the one thing that's held up consistently. AI is good at defined tasks, bad at knowing when the task definition itself is wrong.
Also, deep domain knowledge is the other one..... knowing what good output looks like in your field is something models can't fake convincingly at the edges.
Also, deep domain knowledge is the other one..... knowing what good output looks like in your field is something models can't fake convincingly at the edges.