Talk Around Town: American Universities Are Stampeding Into Undergraduate AI Degrees — But Will the Herd Hold Together?

What the Chatter Is All About

Well, butter my biscuit — it seems like every university with a Wi-Fi password is now rushing to hang an 'Applied AI' shingle on its door. From scrappy Boston polytechnics to sprawling public research flagships, American colleges are announcing undergraduate AI degrees faster than a coonhound chases a scent trail. The noise is loud enough that it warrants sorting out what's confirmed, what's self-reported, and what's still hog-in-the-mud speculation about whether any of this sticks.

What Is Actually Known and Independently Confirmed

Here's the part we can hang our hat on without it falling off. According to Programs.com, a specialist tracker of degree offerings, the total count of AI-related degree programs at U.S. universities reached 483 by 2026, with bachelor's-level options tallying 208 — a figure that represents roughly six times the number that existed back in 2020. Programs.com further counted 28 newly announced AI programs in 2026 alone. That's a genuine stampede, y'all, not just a couple of strays wandering off the fence.

GBH News and the Boston Globe independently reported on the regional dimension of this wave, covering multiple Boston-area schools revamping or building AI curricula from scratch. Hoodline, citing Boston Globe reporting, documented real student friction: a Suffolk University student launched an online petition pushing back against curriculum changes tied to AI expansion, and that petition crossed 1,200 signatures inside two days — which is a pretty loud 'hold your horses' from the student body.

Carnegie Mellon is the confirmed pioneer here. Programs.com notes CMU launched what is generally recognized as the first dedicated undergraduate AI degree in the United States back in 2018. According to Programs.com, 94% of CMU's AI Class of 2025 had landed jobs or enrolled in graduate school within six months of graduating, with an average self-reported salary of $145,500 — a number that newer programs love to wave around like a winning lottery ticket.

On the job-market side, figures cited consistently across multiple university announcements — drawn from Lightcast labor-market data — show that AI-related mentions in U.S. job listings climbed more than 120% during 2024 and tacked on another 56% in the early months of 2025. The Bipartisan Policy Center's AI Skills Dashboard, as cited by Syracuse University News, separately tracked a 144% year-over-year rise in U.S. job postings requiring AI competencies as of April 2026. Two different yardsticks, same direction: employers are hollering for these skills.

Who's Announced What — With the Proper Attribution Collar On

Wentworth Institute of Technology announced via its own press release that it is launching a Bachelor of Science in Applied Artificial Intelligence, which the school describes as a joint endeavor spanning all Wentworth schools and housed in its School of Computing & Data Science. Wentworth says the program's inaugural class will arrive in Fall 2026. GBH News independently covered the Wentworth announcement as part of broader regional reporting, lending it corroboration beyond the school's own marketing.

UNC Charlotte announced through its College of Computing and Informatics that it plans to launch both bachelor's and master's AI programs in August 2026, with the school's own announcement describing UNC Charlotte as joining an 'elite few' institutions with such offerings — which is, bless its heart, the kind of thing a school says about itself. Syracuse University News separately announced three new AI-focused degree programs debuting in 2026, framing the effort as addressing surging employer demand. Lantern College Counseling, a specialist source, also documented programs at USC and UCSB launching undergraduate AI degrees for Fall 2026, alongside Northwestern's new AI engineering major.

MIT's trajectory is worth noting as a reference point, per Hoodline's reporting: MIT's Department of Electrical Engineering and Computer Science launched an Artificial Intelligence and Decision Making major in 2022, and Hoodline reports that program has since grown into MIT's second-most-popular major — suggesting that when a well-resourced institution builds the thing right, students do line up. That's the benchmark the new wave is being measured against, fair or otherwise.

What Remains Muddy as a Spring Creek

Here's where the fence posts get wobbly. Wentworth's own program page, per the university's announcement, claimed fewer than 20 standalone undergraduate AI degrees existed in the United States as of Fall 2025 — but Programs.com's independent tracker counted 208 bachelor's AI programs by 2026. That's not a rounding error; that's two different animals wearing the same name tag. The gap almost certainly reflects a genuine definitional dispute: does a computer science degree with an AI concentration count as an 'AI degree,' or must it be a fully standalone program? Nobody has settled that question, and the answer matters enormously for understanding how crowded this barn really is.

The long-term quality and durability of these new programs is entirely unverified. Wentworth's first cohort hasn't enrolled yet; employment outcomes for students at newer programs are four or more years away; and the underlying technology is galloping forward faster than any four-year curriculum committee can reasonably keep pace with. A degree designed around today's AI landscape might look pretty dated by the time a student wearing it walks across a graduation stage.

The Tension at the Trough: Two Philosophical Fights

There are two genuine disagreements baked into this wave that the enthusiasm tends to paper over. The first is pedagogical: Wentworth and Syracuse's information-school approach leans interdisciplinary — weaving ethics, social context, and applied problem-solving across multiple departments — while Carnegie Mellon's model and programs at places like UCSB are rooted more firmly in traditional computer-science foundations with AI layered on top. Practitioners and educators are genuinely split on which model turns out graduates who can actually do the job, and neither side has the receipts yet.

The second fight is financial, and it's the one that stings. Students at some schools, most publicly at Suffolk University per Hoodline's reporting, argue that universities are redirecting money toward AI programming while trimming other departments and services. That's not a paranoid theory — 1,200 petition signatures in 48 hours is a real signal of real resentment. Whether the AI-degree gold rush is primarily an educational response to labor-market reality or primarily a marketing move dressed up in syllabus clothing is a question each institution will answer differently, and probably not always honestly.

Analysis: A Stampede With Some Lame Horses in It

This is analysis, not reporting. The CMU employment figure — 94% placed, average salary north of $145,000, according to Programs.com — is an appealing data point, but it reflects a single pioneer program at one of the most selective engineering universities on earth. Treating it as a preview of outcomes for every new AI bachelor's program is like assuming every backyard garden will produce the same crop as a research farm. The conditions are simply not the same.

The six-fold growth in bachelor's AI programs since 2020, per Programs.com, is genuinely remarkable, but rapid proliferation has historically been a reliable indicator that a field is about to experience a quality sorting event. Not every program that hangs a shingle in a bull market survives a bear one. The schools most likely to produce lasting, credible programs are probably those with committed faculty, real industry partnerships, and the institutional patience to let a curriculum mature — not necessarily those who sprinted fastest to a press release. Which category each new entrant falls into is, at this point, anybody's guess.