"Universities would prefer not to,"

 

In her essay "Universities would prefer not to," Hollis Robbins argues that higher education has become an institutional bottleneck slowing down society's transition into the AI era. Rather than leading or adapting to rapid technological change, universities are acting as a "brake on progress"—maintaining outdated degree monopolies, focusing on administrative survival and legacy curricular battles, and treating AI with caution or outright hostility.

Key takeaways supporting this message include:

• Dominance of Industry Over Academia: The vast majority of frontier AI developments (over 90% of notable models in 2025) and compute infrastructure come from private industry, leaving higher education far behind in driving AI innovation.
  
  
• Institutional Paralysis & Missed Potential: Most higher education institutions are in "AI paralysis," treating the defining technology of this era as something furtive or dishonest (focusing on cheat detection and traditional general education requirements) instead of completely redesigning curricula around AI-enabled knowledge production.
  
  
• The Shift in Knowledge Value: As basic "known knowns" (the base of the knowledge pyramid) become freely accessible via AI models, the true value of higher education lies in pushing human understanding upstream—teaching students and researchers to explore what AI doesn't yet know rather than testing them on static information transfer.

https://hollisrobbinsanecdotal.substack.com/p/universities-would-prefer-not-to?r=1h4jgq&utm_medium=ios&shareImageVariant=overlay&triedRedirect=true