College Grads in ‘AI-Proof’ Careers Like Psychology and Education Are Seeing Negative Returns on Their Degrees

Why It Matters

Negative returns signal that many prospective graduate students may face lower lifetime earnings, prompting a reassessment of education spending in an AI‑driven economy. Employers and policymakers must consider how skill premiums are shifting away from traditional liberal‑arts pathways.

Key Takeaways

• Psychology grads face -8% cost‑adjusted return
• Clinical psychology returns drop to -5% after costs
• Computer science yields only 6% adjusted return
• Law degrees deliver 41% positive return
• AI cuts entry‑level hiring, raises wages for seniors

Pulse Analysis

The Postsecondary Education and Economic Research Center’s latest analysis challenges the long‑standing belief that degrees in fields like psychology, education, or social work are insulated from automation. By pairing tuition and fee data with lifetime earnings projections, the study shows that graduates in these "AI‑proof" disciplines actually lose purchasing power, delivering negative returns after accounting for costs. This contrasts sharply with the World Economic Forum’s recent finding that AI‑related skills command a 23% wage premium, underscoring a growing earnings gap between tech‑oriented expertise and traditional liberal‑arts pathways.

For students, the report arrives at a pivotal moment. Graduate enrollment has risen from 31% of Americans in 1993 to 42% in 2022, yet the payoff is increasingly uneven. While law and MBA programs still generate solid returns, the marginal gains for engineering and computer science masters hover near zero, reflecting the saturation of high‑salary entry points and the encroachment of AI on routine tasks. Prospective applicants must weigh not only tuition—averaging $228,959 for medical school but also lower costs for other programs—against realistic earnings trajectories, especially as the Federal Reserve notes higher unemployment among recent graduates.

From a macro perspective, AI is reshaping the premium landscape. Research from Harvard economists Katz and Goldin confirms that the overall college wage premium has stalled since 2000, while AI‑exposed occupations see a dual effect: fewer entry‑level hires but higher pay for seasoned workers. Policymakers and employers may need to incentivize reskilling and align curricula with AI‑augmented roles to preserve workforce relevance. For individuals, the prudent strategy is to target degrees that complement AI capabilities—such as data‑driven psychology or health informatics—rather than relying on the historical safety net of "AI‑proof" majors.