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How AI Is Changing College Majors (and the Job Market Behind Them)

AI is reshaping what students study and why. Here is the real data on the shift toward computing, the humanities decline, which fields are most AI-exposed, and what is happening to entry-level jobs - every figure sourced.

Researched by the TruReport editorial team · Updated 2026-07-04 · Editorial standards

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Enrollment is shifting hard toward computing & AI

The move into tech majors is steep and sustained:

  • Bachelor's degrees in computer & information sciences more than doubled in a decade, from 51,696 (2013-14) to 112,720 (2022-23) - the largest year-over-year growth of any top-10 major, even as total U.S. bachelor's earners fell 3.0% (National Student Clearinghouse / NCES IPEDS, 2024).
  • Computing enrollment has risen 16 years straight; the 2024 CRA Taulbee Survey reported new-student enrollment up 9.9% (Computing Research Association, 2025).
  • New standalone AI bachelor's programs more than doubled from 90 to 193 between 2024 and 2025.

Students are reconsidering majors because of AI

AI is now a factor in the choice itself:

  • 47% of college students have given at least a fair amount of thought to changing their major because of AI, and 16% of currently enrolled students say they already have (men 21% vs women 12%) (Gallup-Lumina Foundation, 2026; fielded Oct 2025, n=6,010).
  • About 42% of prospective students say AI will influence which career they pursue; ~10% have already changed their planned major over AI (Gallup-Lumina, 2026).
  • In 2024, 51% of recent graduates said generative AI had them second-guessing their career choice, and 39% feared it could replace them (Cengage Group, 2024).

AI-exposed vs AI-proof fields - and the entry-level market

Where AI hits hardest is becoming clearer:

  • Microsoft Research ranked the most AI-exposed roles as interpreters / translators, writers, historians, customer-service and sales reps, and software developers - work tied to writing, analysis, and information-gathering majors (2025).
  • The least-exposed (most AI-proof) are hands-on roles: nursing assistants, phlebotomists, skilled trades, and equipment operators - pointing students toward nursing, allied-health, and the trades (Microsoft Research / CNBC, 2025).
  • The entry-level squeeze is real: a Stanford study found employment for 22-25-year-olds in AI-exposed jobs down ~13% since late 2022 (software + customer-service entry roles down ~20%), and grad unemployment (22-27) hit 5.8% in early 2025, a four-year high (Stanford 2025; NY Fed 2025).

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The full guide breaks down major-by-major AI exposure + what it means for housing near campus. Sources: Gallup-Lumina, NCES/IPEDS, CRA Taulbee, Stanford, Microsoft Research, Cengage, NY Fed.

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