3-Year Degree Misreads the Future Job Market (opinion)

When a leading university system defies a century-old precedent in the name of efficiency, other universities will follow in its wake. The University of North Carolina system has begun soliciting proposals for 90-credit bachelor’s degree programs—reduced from the traditional 120—offering its multiple institutions planning grants of up to $20,000.

Though UNC is not the only public system to go down this path, the UNC proposal nevertheless signals a continuing shift of the three-year degree concept from the margins of higher education to the mainstream. This is unfortunate.

The initiative might have been a good idea 10 years ago. Now it represents a leap in the wrong direction. If the UNC system aims to prepare students for the job market of the future, it should not be based upon the market demands of the past.

Just this March, Anthropic—one of the leading AI research labs—published “Labor Market Impacts of AI: A New Measure and Early Evidence,” introducing what it calls “observed exposure.” The measure combines theoretical AI capability with real-world usage data to map which occupations are most vulnerable to AI automation. The research was widely covered, appearing in Fortune, CBS News and Euronews, among others. But it has yet to meaningfully enter higher education publications or policy debates.

The fields the UNC system suggests as potential candidates for 90-credit degrees include some of the very domains—in computer science and business—that Anthropic identifies as having the highest levels of AI exposure. AI is already automating routine analysis, financial modeling, entry-level coding and business writing—the very competencies that streamlined professional degrees are designed to deliver.

Last year, when Anthropic’s CEO, Dario Amodei, predicted that AI would soon write 90 percent of code, the claim seemed hyperbolic. It no longer does. The coders who survived that shift likely did so because they possessed skills that transcended automation: judgment, synthesis, the ability to evaluate and redirect what the machine produces. That reorientation—from execution to orchestration—is the central challenge facing every field AI infuses.

It is precisely the challenge a narrow, efficiency-optimized degree is least equipped to address. What students need to succeed in the future, whether 18-year-olds entering college or 38-year-olds returning to it, is not narrow specialization. It’s broad capabilities—things like systems thinking, ethical judgment, communication and the ability to work effectively with emerging technologies.

To be clear, the UNC request for proposals stipulates that new 90-credit programs must “preserve the intellectual depth” of a traditional undergraduate education. However, the 90-credit model achieves its savings primarily by minimizing general education and restricting elective choice. A curriculum built around workforce alignment and return on investment will treat general education as a technicality to be satisfied— say, by “integration”—rather than a foundation to be built upon.

By limiting elective choice, students will be precluded from blazing their own innovative paths to a degree that best suits their career aspirations and professional passions. Programs become tightly structured around disciplinary competencies. The result is a faster credential and a narrower, pipeline graduate.

This is not an abstract concern. Writing in The Chronicle of Higher Education last month, Scott Carlson documented the growing “college-in-three” movement and the difficult questions it highlights about what a degree is actually for. Carlson quotes University of Pennsylvania education professor Robert Zemsky—considered one of the founders of the reduced-credit degree—arguing that general education is too often structured around faculty interests rather than student needs. Even if Zemsky’s critique were not an uncharitable misrepresentation, it would point toward reforming general education, not eliminating it. The remedy to a bloated education is not an amputated one.

The market appeal of streamlining the bachelor’s degree into an efficient pathway is understandable. General education has been easy to caricature: The distribution requirement that seems disconnected from anything a student actually wants to do. But this caricature mistakes what general education is for. It is where students encounter different ways of knowing, learn to reason across domains and develop the intellectual flexibility that makes them adaptable over the long arc of a career. Bridging disparate disciplines, which general education and electives allow—and as the broader literature on double majors confirms—produces precisely the cognitive flexibility, creativity and versatility that employers increasingly value and that AI cannot readily supply.

The unfortunate irony is that—at the moment when AI is producing fluent, competent, surface-level output at scale—reduced-credit degrees would redesign education to produce humans who do the same, in fields that are demonstrably contracting. If the college-in-three reformers are right that a quarter of the curriculum must go, I’d argue they are cutting the wrong quarter. The most expendable—and riskiest—component is the traditional job-training major. And doubling down on shrinking career pathways is always a bad bet.

Narrow degrees optimized for a pre-AI workplace will equip graduates with brittle skill sets tied to roles that are already receding. When a leading public university system gets that wrong, the consequences extend far beyond any single state. We can prepare students for the world that is emerging—or for the one already disappearing.