Yeah, I don't care for go but I expect it to win here. Its performance is good enough for most use cases, it has a huge ecosystem of libraries, lots of training data, and deploys as a binary so users don't need to install anything else.

I expect rust to gain some market share since it's safe and fast, with a better type system, but complex enough that many developers would struggle by themselves. But IME AI also struggles with the manual memory management currently in large projects and can end up hacking things that "work" but end up even slower than GC. So I think the ecosystem will grow, but even once AI masters it, the time and tokens required for planning, building, testing will always exceed that of a GC language, so I don't see it ever usurping go, at least not in the next decade.

I wish the winner would be OCaml, as it's got the type safety of rust (or better), and the development speed of Go. But for whatever reason it never became that mainstream, and the lack of libraries and training data will probably relegate it to the dustbin. Basically, training data and libraries >>> operational characteristics >>> language semantics in the AI world.

I have a hard time imagining any other language maintaining a solid advantage over those two. There's less need for a managed runtime, definitely no need for an interpreted language, so I imagine Java and Python will slowly start to be replaced. Also I have to imagine C/C++ will be horrible for AI for obvious reasons. Of course JS will still be required for web, Swift for iOS, etc., but for mainstream development I think it's going to be Rust and Go.