I think that AI is here to stay, and that you should focus most of your efforts on the parts that AI can't do. It's like with calculators, you still know how to add and multiply and stuff, and such low level things are even more pertinent with AI because it's not deterministic and can make mistakes, but generally you can rely on it for low level coding and debugging and what you really need to focus on is making sure that the artifacts it produces are aligned with your requirements, both functional and non-functional. Think about automated testing, scalability, security, etc. A single developer can produce code of much higher quality with AI because they have the bandwidth to work on such beneficial but optional things that they might have somewhat neglected before when implementation was more time-consuming and expensive.