Assuming we're all going to be deep learning programmers is quite a bit foolhardy. I think what's really relevant to consider is AI winters can and do happen[1]

Assuming we're all going to be deep learning programmers is quite a bit foolhardy. I think what's really relevant to consider is AI winters can and do happen[1]. I would not disagree deep learning has done some amazing things, what I would say is it does have limitations. What causes AI winters is when an advance such as deep learning can be applied to new problems and leads to increased interest. And while this new thing is really good as a subset of problems and impresses the public, of course it can't displace humans at everything and naturally has it's limitations. So funding pours in, everyone gets hyped, and then those natural limits are (re)discovered and everyone gets all anti-AI research. Of course many people knew the limitations all along, but the dream is gone and so is a lot of funding until the next thing comes along. This is probably natural to a lot of fields but AI just seems more prone to these boom and bust cycles because it's really exciting stuff. [1] https://en.wikipedia.org/wiki/AI_winter https://en.wikipedia.org/wiki/AI_winter