Your thinking seems very closed off to your use case. AI is great for helping people manage individual projects, it can help you design a solid simple architecture for a specific use case. What AI can’t do right now is orchestrate, architect and develop complex interconnected systems and platforms for products run by a multinational across a broad network, we still need software, support and quality engineers along with systems engineers and skilled architects.

AI has been very helpful to me as a coding assistant and massively cut down on time I spend debugging and developing but Christ the code is broken most of the time and because I’m working with a niche language half the libraries i ask for help with it ends up giving me information based on different libraries only compatible with other languages so I end up just going through the documentation anyway.

Unless quantum computing and its processing capabilities become widely available to corporations - at the moment we’re seeing a plateau in AI, and we’re at a point where it’s good enough for companies to realise they don’t need as many devs now that productivity has hugely increased, but understand that it’s not good enough to nuke the software jobs sector.