Key Points
- Business leaders and academics told the Wall Street Journal that human-focused majors now outrank AI-specific ones.
- Two decades of computer-science enrollment produced more coders than firms need, and AI worsened the oversupply.
- The advice reframes career strategy around skills machines handle poorly: judgment, adaptability and understanding people.
The latest:
A computer-science degree is no longer a guaranteed path into work, executives, investors and academics told the Wall Street Journal, pointing instead to anthropology, mathematics and philosophy. A surge of students into computing over two decades left companies with more coders than they need, and AI has deepened the imbalance. Leah Belsky, OpenAI’s vice president of education, said human skills matter more as AI absorbs complex work.
Details:
- The core argument: The Journal reported that students, parents and mid-career workers should avoid majors built for a pre-AI world, such as computer science, as well as programs created in response to AI enthusiasm. The recommendation came from executives, investors and academics asked to name programs of study worth pursuing now.
- Against AI majors: Peter Miscovich, an executive managing director at commercial real-estate firm JLL who advises major tenants on future-of-work strategy, called an AI-specific degree too narrow and compared it to majoring in Excel. He predicted every C-suite role will eventually require AI fluency, leaving specialized AI titles outdated within a decade.
- The anthropology case: Alec Litowitz, an early partner at Citadel who studied math and anthropology at MIT before adding a law degree and an MBA, said the discipline gives him a frame for reading society, built on metacognition — observing a system while being part of it. In his book The Adaptability Quotient, out this month, he argues AI has commoditized much college knowledge.
- A market signal: Ernst & Young said last week it was creating a $100 million bonus pool to reward employees who demonstrate value in ways AI cannot replace. The Journal cited the move as evidence that understanding human nature now carries direct financial reward inside large firms.
- Why mathematics: Bert Bean, chief executive of staffing firm Insight Global, said his company’s AI unit, IG Labs, now interviews promising applicants in person and hands them dry-erase markers, throwing hard technical problems at them at a whiteboard. Math majors do well, he said, because AI modeling is math-heavy and they have practiced manual problem-solving.
- Trust erosion: One of AI’s strongest effects on hiring, according to the report, is that recruiters can no longer tell whether candidates are genuinely strong or simply good at using AI to cheat. That is pushing old-school, in-person evaluations back into use as virtual interviews lose reliability.
- The philosophy numbers: Among graduates aged 22 to 27, philosophy majors are more than twice as likely to be underemployed as computer-science majors, according to New York Fed data. The same figures show them less likely to be unemployed than peers holding degrees in computer science, computer engineering, information systems or physics.
- Hiring philosophers: Anthropic employs a philosopher to teach its Claude model a sense of morality, and comparable roles exist at OpenAI and Google. Jeremy Schifeling, who runs training sessions at college career centers, said many students pick tech majors that suit them poorly and then drop out, while classic programs can fit their abilities better.
Background:
Computer science became the default high-return major over the past two decades, drawing enrollment on the promise of guaranteed hiring. Graduates of top programs such as Stanford and MIT still do well, but the volume of entrants outpaced demand before AI began automating entry-level coding tasks.
Between the lines:
The recommendations converge on one bet: that value migrates to what cannot be automated or faked. Miscovich’s Excel comparison and Litowitz’s commoditization argument both assume AI tooling spreads until fluency stops being a credential. The Fed figures support a narrower claim than the headline advice — philosophy graduates are underemployed more often, but jobless less often, suggesting flexibility rather than strong direct demand.
What’s next
Watch whether Ernst & Young’s $100 million bonus pool produces measurable criteria for non-automatable value, and whether other large employers copy it. Litowitz’s book, out this month, will set out his full case.
