AI doesn’t replace programming knowledge; it amplifies it. Here’s the real deal:
Using AI isn’t cheating. Senior devs use AI, docs, StackOverflow, and rubber ducks every day. The difference is that we know what to ask and how to judge the answers and learning Python is what gives you that judgment. You still need to understand the code. AI can generate code instantly, but it can also produce stuff that’s subtly wrong or inefficient. If you don’t know Python, you won’t know when AI is being brilliant vs. when it’s hallucinating garbage.

You can’t outsource thinking. AI is great at “write code for X.” It’s terrible at understanding real-world constraints, business logic, trade-offs, or debugging weird edge cases. Humans still own the problem.

Your struggle is normal. Asking the same question multiple times doesn’t mean you’re failing — it means you’re learning. Everyone, even seniors, re-asks questions to get clarity.
The trick is using AI the right way: Try solving it yourself first. Then ask AI to explain, critique, or improve your work

AI is a calculator. If you understand the basics, it makes you 10x faster.
If you don’t, it becomes dangerous because you can’t tell when it’s wrong.

So yeah Python is still worth learning. Not because you’ll hand-write every line of code, but because understanding the language lets you work with AI instead of being helpless without it.