I agree that professors can probably develop ai resistant evaluations.

But there is minimal institutional support for this. Everybody is going it on their own. And the ai tools are changing rapidly. Telling a ntt faculty member teaching a 4/4 that they just need to stop being lazy and redo their entire evaluation method is not really workable.

Iteration is also slow. You do a new syllabus to try to discourage cheating. You run the course for a semester. You see the results with now just a few weeks to turn around for your spring semester courses. At best you get one iteration cycle per six months. More likely it is one per year since it is basically impossible to meaningfully digest the outcome of what you tried and to meaningfully try something different mere weeks later.