That's an interesting take, but I'm not sure 'easy to write' is the only advantage.

There is also a really good ecosystem of libraries, especially for scientific computing. My experience has been that Claude can write good c++ code, but it's not great about optimization. So, curated Python code can often be faster than an AI's reimplementation of an algorithm in c++.

Yeah ML is the one of the only spaces I could see it living on, but even then doing it in C++ isn't that much harder for an LLM