University to Corporate - AI Disconnect

Does anyone else notice the huge disconnect between university and corporate in AI specifically? All my classes say to not use AI, don't use it to help you on your homework, just do it the traditional way. And if you do, then you're sent to the dean and you're getting an academic misconduct. But then I come to work this summer as an intern, and it is the exact opposite. Like literally opposite sides of the spectrum, you guys, like crazy. So I come here and they say, if you don't use enough AI, you're getting downgraded on your performance review. They expect you to use AI all day, like literally all day and to be building with AI, to be reasoning with AI, to be writing things with AI, like literally complete opposite. And it's crazy to me. Like there needs to be some more communication between these two things. I understand that universities are usually slower to the game with like all the new tech and everything. But I get into my work and it's like I haven't used AI enough to know all these different tools and all these different agentic workflows, but that's what you're expected to know when you get into corporate. So if this video does anything, then let it be your sign to start using AI more in university, maybe like a personal project or something in your own time because let me tell you, that's the thing that's going to make you competitive in this market is being the one who knows the whole AI shabang.