Similarly, in research, the trajectory points toward systems that can increasingly automate the research cycle. In some domains, that already looks like robotic laboratories that run continuously, automate large portions of experimentation and even select new tests based on prior results.
At first glance, this may sound like a welcome boost to productivity. But universities are not information factories; they are systems of practice. They rely on a pipeline of graduate students and early-career academics who learn to teach and research by participating in that same work. If autonomous agents absorb more of the “routine” responsibilities that historically served as on-ramps into academic life, the university may keep producing courses and publications while quietly thinning the opportunity structures that sustain expertise over time.
The same dynamic applies to undergraduates, albeit in a different register.
I do agree, it may be that the situation is exacerbated to the point where doomerism is essentially encouraged.
The thing is, there was an article where the students themselves didn’t want AI on the mandated Chromebooks. It feels force fed, and the fact is, nobody, no matter the age wants garbage screwing up their workflow.
Honestly, a lot of these articles are repeating the same story. In the end it all leads to a similar conclusion - and it isn’t age related.