AI is great for recommendation systems and art because they are fuzzy. "Good enough" results are relatively easy to achieve. There is lots of tolerance for errors, because human preferences are flexible and fuzzy themselves.
Engineering is a different ballgame... If anything, all the code monkeys will simply become QA monkeys/test-engineers, because you need to be really sure that your black box algorithm is actually doing what you think it should be doing.
Engineering is a different ballgame... If anything, all the code monkeys will simply become QA monkeys/test-engineers, because you need to be really sure that your black box algorithm is actually doing what you think it should be doing.