Discussion of AI and its applications to security seems unavoidable nowadays, and, alas, this keynote is no exception. But is it actually useful for problems we care about, like fuzzing? In classic academic fashion I will answer “maybe” at great length, but hopefully with enough concrete examples and references to actual code that the talk will be worth listening to. I will cover: 1) Places where it seems obviously misguided (input generation in the fuzzing loop); 2) Areas where it seems to have demonstrable benefits (harness generation); and 3) Promising future directions (generating input seeds, evolving input seed generators).