I do honestly believe (and I am willing to take some hate for this haha) that paradoxically "Ai people". E.g. People who are up to date with the latest papers, are good at pandas and experimenting can build a training validation testing pipeline know the difference between random forrest and gradient boosting etc. are one of he least qualified people to really take advantage of the GPT style models.

I think it will be the frontend people (if their app still needs one and a text interface isn't enough). And the backend people (whose API churning speed will double through Copilot), if their APIs are still needed. And most and foremost the techy business people that can translate what this new chat thing means for an actualy real world business, like banking, insurance, agriculture, manufacturing, real estate whatever.

I think in this new world of few shot learning there is much much less room for ML Engineers. Its a bit like setting up your own servers in a cloud world. Sure it might make sense for the big guys, or for security reasons etc. but the vast majority are much better off generating 20 examples and using some API avoiding the immense risk and costs associated to building your own model.

So, in an interesting twist, AI is taking the AI jobs first.