OK (or not OK). But (anyway) you shouldn’t be afraid of AI programming.
This post, written by one of the best young programmers I’ve ever worked with (he has just started to blog – good luck Zoli!), mentions that there is a lot of misunderstanding about what AI is at its core, and what are its conceptual limits.
The essay mentions – as possibly you would otherwise realize only if you’d go away from all advertising and do some Python yourself – that AI is not the solution for every problem, being just a practical way to get some of the things, here and there, done – and lists the advantages and disadvantages of deep learning in a very objective manner (but of course, take this with a fair dose of subjectivity from my side :-)).
Sure, to do AI programming one would better be able to understand maths and statistics, and in the future maybe also some physics (going towards quantum computing), but essentially it’s not that hard and, with reasonable time spent on learning and practicing, any programmer that would do this out of love could do AI and get paid well for it!