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.
Which is why some nations will outright ban it. And others will sleep on the risk until it is too late. It’s the “should we do anything about this social media stuff”-discussion all over again… but on steroids.
We can see it already, the amount of people who rely on it for… literally any information request. And it’s freakishly hard to fight against it. Mainly because the same companies which push those AI products, are actively making traditional information sources worse (e.g Google Search).
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