This completely explains why so many engineers are skeptical of AI while so many managers embrace it: The engineers are the ones who understand it.

(BTW, if you're an engineer who thinks you don't understand AI or are not qualified to work on it, think again. It's just linear algebra, and linear algebra is not that hard. Once you spend a day studying it, you'll think "Is that all there is to it?" The only difficult part of AI is learning PyTorch, since all the AI papers are written in terms of Python nowadays instead of -- you know -- math.)

I've been building neural net systems since the late 1980s. And yes they work and they do useful things when you have modern amounts of compute available, but they are not the second coming of $DEITY.