Students boo commencement speaker after she calls AI next industrial revolution

Context: Students, Commencement, and AI Framing

  • Many see a commencement address as the wrong venue to sell “AI inevitability,” especially to arts, humanities, and media graduates who expect encouragement, not disruption talk.
  • Several comments stress “read the room”: entry-level job seekers are likely to feel AI risk first, so cheering AI as a revolution feels tone-deaf.
  • Others note similar pessimistic campus moods during the dot-com crash, suggesting generational fear around tech cycles is not new.

Historical Analogies and Labor Impacts

  • Comparisons to the Industrial Revolution are contested.
    • One side: labor-saving tech has historically led to higher productivity, new roles, and improved living standards over long periods. Claims that “this time is different” are seen as requiring strong evidence.
    • Other side: the first Industrial Revolution was brutal for workers; gains came only after unions, labor laws, and large-scale conflict. That path is not reassuring.
  • Concern that AI may commoditize knowledge work so thoroughly that displaced workers will not find comparable roles, especially in white-collar, service-heavy economies.

Capitalism, Inequality, and Safety Nets

  • Strong anxiety that AI gains will accrue to a small ownership class, exacerbating a decades-long trend of wealth concentration.
  • Calls for a resurgence of organized labor and possible UBI; others doubt governments can or will fund robust safety nets.
  • Some foresee potential unrest or repression if automation destroys livelihoods without compensation.

Perceived Benefits and Real-World Use

  • Enthusiasts argue AI is a general-purpose technology comparable to the internet or spreadsheets, likely to reshape every industry.
  • Reported useful applications include: coding assistance, error checking, data capture, scheduling, document drafting, support, and some medical diagnosis and imaging tasks.
  • Critics respond that most people currently experience AI mainly as job-risk rhetoric, layoffs, “AI slop,” and degraded products.

Culture, Art, and Authenticity

  • Deep split over AI art and music:
    • Some say it’s technically impressive and emotionally effective for many casual listeners; music has long included functional “background” roles where authorship matters less.
    • Others insist AI-generated culture is hollow because there is no lived experience behind it; they see it as devaluing human craft and turning culture into cheap, mass-produced filler.

Messaging, Public Sentiment, and Education

  • Thread notes a visible rise in youth anger and pessimism about AI, even as many students privately use it for homework, resumes, and job applications.
  • Some call this hypocrisy; others liken it to smokers criticizing tobacco—using a system doesn’t invalidate criticism of its broader harms.
  • Several argue the real problem is institutional integration and incentive structures, not the technology itself; advocates point to potential for personalized AI tutoring if deployed carefully.