New paper analyzes how AI disrupts universities and offers 10 survival proposals
LuizaJarovsky · x · 2026-09-18
Luiza Jarovsky reviews economist Jason Potts' new paper The University after AI. With AI models matching or exceeding humans in most cognitively valuable fields, students increasingly rely on AI as a co-learning assistant while universities' traditional roles — custodian, creator, and transmitter of knowledge — are being disrupted, putting degrees' economic value in question.
The paper characterizes universities as roughly 1000-year-old self-governing "micro-republics" and argues they aren't necessarily doomed: they must reshape their mission. It lays out 10 proposals to help universities survive and stay relevant in the post-AI era.
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