Jack Clark: liberal arts degrees win as AI reshapes work

Clark's argument carries unusual weight because he is not a critic on the sidelines: he is a billionaire cofounder of Anthropic, one of the companies building frontier AI models. He credits his own path — English literature and creative writing, followed by journalism — with giving him the historical grounding and narrative instincts that he says turned out to be highly relevant to AI work.

The context is a job market sending mixed signals. STEM enrollment and hiring surged for decades, with science and engineering graduate enrollment up more than a third between 2000 and 2015. But Anthropic's own researchers, Maxim Massenkoff and Peter McCrory, found that AI can theoretically take over 94% of computer and math tasks, and the creator of Anthropic's Claude Code, Boris Cherny, said "coding is practically solved." Meanwhile, the unemployment rate for recent college graduates stood at 5.7% in June, above the 4.1% for all workers, and some students are turning to the trades or part-time work instead.

Even so, the liberal arts case is being made inside Big Tech, not just outside it. Microsoft chief scientist Jaime Teevan cites critical thinking and adaptability; Case Western Reserve's Michael Oakes describes a premium shifting toward "rigorous critical reasoning"; Alphabet's DeepMind has hired philosophers, as has Anthropic. The open question, which Clark himself hedges, is whether that demand materializes widely enough to offset AI-driven displacement for entry-level graduates. For students and employers, the signal is less about one degree than about the skills — synthesis, judgment, asking good questions — that the body suggests are hardest to automate.