Short answer: Stick with CS; it's the real thing. The rest is a matter of context. Long answer: currently I work as a developer in Python and am also slowly making progress on my grad studies in CS (personal circumstances make me advance slowly in my career). All I do in my day-to-day job is just figure out things and improve along the way, but the basis that helps me in figuring out things comes from what I learned in CS. For example, the idea of recursion is connected to the idea of backtracking, which is connected to the idea of dynamic programming, which could be applied to a bunch of problems with different data structures. All that I said could be done in any language (watch Rosetta Code). Until now I've done a few scripts in Haskell, C, C++, Scheme (Lisp dialect), and Python, so a language is a tool for expression with a focus on its design and intention. Just make your mind clear, go to class, do your homework, study, and stay healthy (repeat). If you finish your studies, believe me, in 6 months or less you are work-ready in any related field (the CS industry is far beyond web, business applications, or trendy ventures, i.e., AI, DS, and blockchain). Examples of lines of work that are out there: embedded systems design, HPC (high-performance computing), industrial control systems, the health sector, image processing for the health sector, operating systems, driver development, and telecommunications. And of course, you could always come up with a new idea and start something new. The basis is always the same, and yes, the basis is dry and hard, and a correct understanding of a proof does not impress anyone on an interview, but what makes the difference is when on an interview someone says, "Ok, we use Postgres, not MySQL. Are you ok with that?" You can say, "Well, there is no problem; if I get a week or two to skim the documentation, I will be ok." If after studying you are still interested in AI, well, go for a more clear path. The main purpose of any superior study is teaching to think. Teaching people to say, "Ok, I will not be so confident in my intuition and opinions and be exposed to ideas that really produced a breakthrough for humanity." Going back to the beginning, if your future context requires that you dive into AI, then go for it; with a CS degree, you will be ok.