Lots of comments here already, just my two cents. I work in R&D and I prefer prototyping things in Python with AI (although we're a 100% Go shop) because:

1) Python is expressive and has packages for everything => faster iteration times because much fewer tokens

2) It doesn't require a compilation step, so when I'm quickly iterating on something, especially if my laptop doesn't have the target hardware, the flow "copy the sources to the target machine and restart" is superfast (a couple of milliseconds)

3) Python most likely represents the largest share of training data, so almost all LLMs can one-shot almost everything

And when my prototype is ready, and we want to go to production, I can ask the LLM to port it to Go with all the necessary conventions/ceremonies and all.