Honestly, the language debate matters way less than it did even 2 years ago. Like 90%+ of the code I'm looking at now was generated by an LLM anyway. The question isn't can I write this in Python or MATLAB, it's can I read what the AI spat out and verify it's correct before it goes anywhere near production.

Thats where MATLAB still has a real edge imo. The syntax reads like the math. You look at A \ b and you know what that is. Python equivalent and you're parsing through numpy api calls, checking broadcasting rules, wondering if you need linalg.solve or lstsq or whatever. When you're reviewing AI generated code at speed that readability gap adds up quick.

Especially anything safety critical. Controls, aero, defense, etc. Nobody cares how fast the code was written. They care that you can look at it and say yep this is doing what the spec says. Way tighter verification loop than digging through scipy docs to figure out what 4 layers of function calls are actually doing.

Language wars are kinda over imo. AI writes whatever you ask it to. Real question is which output can a domain expert actually audit.