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I don't think people with existing skills will ever adopt generative AI as part of their daily practice. Instead, I think we're going to see lines drawn in the sand. After all, the folks who have those skills worked to establish them, often spending years honing such skills and going into debt to establish mastery in their fields. I fully expect to see many people bias generative AI as a form of cheating. Early testing shows that those with underdeveloped or emerging skills rather than those who have mastered skills are the most likely to benefit from adopting generative AI in their jobs. This suggests that such adoption could benefit those unprepared, unmotivated, and struggling students the most. It also suggests that their higher-performing peers will see the least amount of help from adopting generative AI. What's lost in this is we want as many students as possible to develop mastery in skills for their studies and their future careers, not use generative AI as a crutch to help them pass. ... I said this last year and think it rings truer today-the mark of future mobility will not be having access to a college education. Rather, it will be if you could afford to go to an institution where a human being taught you or if you had to attend one where you learned from an algorithm.

"The classroom-management system we use, Sakai, comes with this massive surveillance infrastructure. You can see what students clicked on, and you can see what they did. Early in the semester, I show students all of the tools that follow them around, and we talk about it. I tell them, I'm not going to look. I don't want to decide whether or not you read something based on whether you clicked on the article. I don't want to play these surveillance games. I just want to see, did you write something thoughtful in the forum? We use it to start a conversation about what it means to be a student in this day and age. They usually have no idea that their professors can see every click."