Apparently, most folks use it to clean up their emails.
The vast majority of real world uses for gen AI I've seen from coworkers (the few who use it) are basically this. A time-saver for tasks that, while not especially fun, are also not that hard. The other uses I see are for creative production in one form or another, and those are simply baffling to me because that's supposed to be the "fun" stuff. Or, at least, the stuff where half the point is getting to say
I did this.
Being an academic institution, we also covered cheating. "Students cheated 50 years ago; students cheat now." What we didn't cover is how much easier it is to cheat now. Nor did we cover what this is doing to our critical thinking skills.
While not quite the same, the other use of AI I see, and this one is now all the time, is in hiring. It's obvious on my end because a majority of our applicants are international graduate students. Their applications and cover letters over the past couple of years have two qualities: one, they are all, suddenly, very grammatically clean for folks who typically have a harder time with written English, and two, there's now basically no actual information in their cover letters.
This is a real problem for them because it basically means hiring has gone from a process where I read applications carefully and look for bits of personal experience that might apply to our space (most folks have never worked in or around a makerspace before, so nobody has prior experience that way) to glancing at their previous positions and throwing a dart at a board. This is worse for them because the majority of international students at our university right now are in one of three majors and mostly come from not just the same country, but the same two cities in India. Their resumes are near identical already.
They don't realize it, but AI is making them much less hirable. And they WANT to be hired by me, because my space offers a tuition waiver that makes their tuition fees in-state. But of course, they think I care more about grammar than the actual information. It's a deep misalignment of what is qualitative in our space and it has made hiring pretty miserable. Of course, they assume we're just using AI to sort them all anyway, so why bother trying harder?