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Psychology and Education Grads Are Losing Money on Their Degrees — New Data Puts Numbers to the AI Jobs Crisis

Psychology and Education Grads Are Losing Money on Their Degrees — New Data Puts Numbers to the AI Jobs Crisis
New research shows graduate degrees in psychology, social work, and education now yield negative financial returns — meaning grads end up worse off than before they enrolled. Meanwhile, 4.6 million students couldn't land internships in 2023, and the Federal Reserve's own data shows AI is cutting entry-level hiring while simultaneously raising pay for experienced workers. The 'get a degree, get a job' pipeline isn't just bending — it's breaking.

The Numbers Are In. They're Ugly.

AI is gutting entry-level jobs and colleges are responding too slowly. Now there's hard data to back it up.

A new report from the Postsecondary Education and Economic Research Center — published in spring 2026 — measured the actual cost-adjusted return on graduate degrees. Some are delivering negative returns. Not low returns. Negative.

Psychology graduate degrees: -8% lifetime return after tuition costs. Clinical psychology: -5%. Social work and curriculum and instruction degrees also in the red.

Students are spending years and tens of thousands of dollars to end up financially worse off than if they'd never enrolled.

The 'AI-Proof' Degree Myth Is Dead

The conventional wisdom told students to pick "human" fields — therapy, teaching, social work — because AI couldn't replicate empathy or human connection. That advice was wrong.

Those fields pay poorly to begin with. Add graduate tuition costs, and the math collapses. AI didn't have to automate these jobs to make the degrees worthless. It just had to raise the value of competing skills everywhere else.

According to Fortune's April 2026 reporting on the Postsecondary Education and Economic Research Center data, even computer science — supposedly a winner — only yields a 6% cost-adjusted return at the graduate level. That's minimal runway for a degree that can cost $60,000 to $100,000.

The Federal Reserve and Dallas Fed Are Saying the Quiet Part Out Loud

Dallas Fed economist J. Scott Davis published a paper in February 2026 with a crucial finding: AI is doing two things at once in the same industries. It's cutting entry-level hiring AND raising wages for experienced workers.

This isn't a story about AI replacing everyone. It's a story about a widening gulf between workers who already have experience and workers trying to get their first foothold. The gap isn't closing. It's growing.

Harvard economists Lawrence Katz and Claudia Goldin published research in September 2025 showing the college wage premium — the extra earnings a degree gets you — has barely moved since 2000. The San Francisco Fed followed up attributing that stagnation to declining employer demand for degree holders.

Meanwhile, the World Economic Forum found earlier this year that AI skills command a 23% wage premium. A bachelor's degree alone? 8%. The market is signaling exactly what it values. Most colleges aren't listening.

4.6 Million Students Couldn't Get Internships. That's the Real Crisis.

Cengage CEO Michael Hansen published data in May 2026 that reframes the conversation. In 2023, 4.6 million students who wanted internships couldn't secure one. At the same time, 87% of employed graduates say their internship was what actually landed them a job. More than half of grads without internships believe the gap hurt their prospects.

Hansen's point is direct: the traditional bridge from classroom to career — get a degree, get an entry-level job, learn on the job — is eroding from both ends. Internships are drying up. Entry-level positions are disappearing. And colleges are still largely teaching the same way they were in 2010.

66% of hiring managers say recent hires aren't fully prepared for their roles — primarily due to lack of real-world experience, according to Cengage's Graduate Employability Report.

What Mainstream Coverage Is Getting Wrong

Most coverage on this topic — including pieces in The Hill and Fortune — frames the issue as a call for colleges to "adapt" and "redesign curriculum." This lets institutions off too lightly.

Colleges spent decades raising tuition, expanding administrative bureaucracies, and selling credentials that the market is actively devaluing. They had every financial incentive to keep the degree pipeline flowing and no incentive to tell students that a $60,000 psychology master's would leave them poorer.

There's also a policy dimension being downplayed. If government-backed student loans continue flowing into programs with negative returns, taxpayers are subsidizing wealth destruction. That's a structural failure.

The Abundance Pitch vs. Reality

OpenAI CEO Sam Altman is predicting "massive prosperity." Anthropic CEO Dario Amodei says people underestimate AI's "radical upside." Elon Musk envisions "sustainable abundance" for everyone.

Easy to be optimistic when you're cashing the checks.

For a 24-year-old with a social work master's degree, negative equity on their diploma, and no internship experience because 4.6 million other students were competing for the same slots — that abundance pitch sounds like a different planet.

What Needs to Happen

Colleges need to publish cost-adjusted return data for every degree program they offer. Upfront. Before enrollment. Not buried in a federal database somewhere.

Programs with chronic negative returns should either be restructured or defunded. Continuing to offer them while pocketing tuition — backed by federal loans — is predatory.

The internship shortage is a solvable problem. It requires colleges to build real employer pipelines, not just career fairs. It requires companies to stop treating internships as free labor pipelines for elite schools only.

The data is unambiguous. The question is whether anyone in higher education leadership will act on it — or whether they'll keep commissioning studies and holding symposiums while another generation pays the price.

Sources

center The Hill AI is raising the price of entry into the workforce. Education must lower it.
unknown yahoo Opinion - AI is raising the price of entry into the workforce. Education must lower it.
unknown fortune AI is wiping out entry-level jobs. Here's how colleges can fill the gap | Fortune
unknown fortune College grads in ‘AI-proof’ careers like psychology and education are seeing negative returns on their degrees | Fortune