Blog

For generations, choosing a college major was a calculated bet on the future. Students weighed interests, salaries, family expectations and the likelihood of finding a job after graduation. Artificial intelligence has added a new variable to that calculation: whether the work they are preparing to do will still look anything like they expect by the time they receive their diploma. That uncertainty is already influencing decisions on campus. Students aren't merely experimenting with ChatGPT to summarize readings, brainstorm papers or prepare for exams. Increasingly, they are asking whether AI changes the economic value of the degree itself.

The concern is understandable. Recent graduates are entering one of the more complicated early-career labor markets in years, while employers simultaneously accelerate investment in automation and AI. Yet the emerging lesson for students may be counterintuitive. The safest major may not be the one that appears most protected from AI today. The better strategy could be building a combination of technical literacy, specialized knowledge and distinctly human capabilities that remains valuable as technology changes.

AI Anxiety Is Reaching the Registrar's Office

The influence of AI on academic decisions is no longer theoretical. The 2026 Lumina Foundation-Gallup State of Higher Education Study found that 16% of currently enrolled college students had already changed their major or field of study because of AI's potential impact on their careers. The figure reached 19% among associate-degree students and 13% among bachelor's-degree students. The anxiety extends much further than those who have actually switched programs. Gallup found that nearly half of students had considered changing their field of study because of AI to at least some degree. Men were particularly likely to report having already changed majors because of the technology, at 21%, compared with 12% of women.

That represents a remarkable shift in how students think about higher education. A college major once represented preparation for an occupation or industry. Students entering college in 2026 increasingly have to consider whether that occupation will be augmented, reorganized or partially automated before they have even accumulated enough experience to compete for it. The broader employment environment isn't helping. According to the Federal Reserve Bank of New York, the unemployment rate for recent college graduates stood at approximately 5.7% in the first quarter of 2026, while the underemployment rate was 41.5%. In other words, more than four in 10 recent graduates who were working were employed in jobs that typically do not require a college degree.

AI Isn't the Only Reason Entry-Level Hiring Feels Harder

It would be convenient to blame every disappointing employment statistic on artificial intelligence, but the evidence is more complicated. Researchers at the Federal Reserve Bank of St. Louis found that declining overall job openings have been a larger contributor to deteriorating employment conditions for young workers than AI.

Still, AI appears to be creating an additional hurdle, particularly for college graduates trying to secure their first professional jobs. St. Louis Fed researchers found that demand for AI-related capabilities accounted for a meaningful portion of the weakening employment conditions experienced by new entrants. Their conclusion wasn't that AI is eliminating employment across the economy, but rather that it may be raising the bar for young workers attempting to enter it.

That distinction matters enormously for students. Companies don't necessarily need to eliminate an entry-level position for AI to change its economics. If an experienced employee equipped with AI can perform work that previously required assistance from two junior employees, a company may simply hire fewer people. If AI can draft routine reports, summarize documents, produce basic code, analyze spreadsheets or prepare first-pass presentations, employers can expect new hires to arrive capable of doing more sophisticated work sooner.

Experience has always been valuable. AI may be increasing its premium.

Even Computer Science Is Being Reconsidered

Few majors better illustrate the speed of this reassessment than computer science. For years, "learn to code" became shorthand for career security in the digital economy. Computer science degree completions increased roughly fivefold between 2008 and 2024. Then the trajectory changed. Enrollment in computer science programs at four-year colleges declined 8.1% in 2025, according to reporting by The Washington Post, the steepest one-year decline for any major since 2020.

Some students appear to be migrating toward fields including artificial intelligence, data science, robotics and engineering rather than abandoning technology altogether. That could prove to be a more important trend than the decline in computer science itself. Students are beginning to differentiate between learning a particular technical skill and understanding how technology can be applied to difficult problems.

The labor-market projections reinforce that distinction. The U.S. Bureau of Labor Statistics expects employment for data scientists to grow 33.5% between 2024 and 2034, while employment for information security analysts is projected to rise 28.5%. Operations research analysts are projected to grow 21.5%, computer and information research scientists 19.7%, and software development, quality assurance and testing occupations collectively 15%.

Software development is therefore not disappearing. BLS still projects approximately 129,200 openings per year for software developers, quality assurance analysts and testers over the decade, and the median annual wage for software developers was $133,080 in 2024.

The message isn't that technology degrees have become obsolete. It is that simply possessing a technology degree may no longer provide the automatic advantage students came to expect during the previous technology boom.

The AI Major Is Having Its Moment

Universities have noticed where student interest is moving and are responding with new programs devoted specifically to artificial intelligence. Only a handful of American universities offered dedicated undergraduate AI majors earlier in the decade. Today, dozens offer AI degrees, minors or concentrations, reflecting both student demand and employer interest.

There is logic behind the rush. The World Economic Forum's Future of Jobs Report 2025 identified AI and big data as the fastest-growing skill category through 2030, followed by networks and cybersecurity and technological literacy. Employers surveyed for the report expect 39% of workers' existing skill sets to be transformed or become outdated between 2025 and 2030.

Yet students should be cautious about assuming that putting "artificial intelligence" on a diploma automatically future-proofs a career. Technology evolves much faster than university curricula. Today's dominant AI architecture, programming framework or software platform could look very different several years from now. A strong AI education therefore needs to teach more than how to operate today's tools. Students need mathematics, statistics, data literacy, computing fundamentals, ethics, communication and the ability to understand the business or societal problems to which AI is being applied.

The Most Valuable Degree May Be a Hybrid Degree

This may ultimately be the biggest change AI brings to higher education. The traditional debate asks which major is best: engineering or business, computer science or communications, finance or philosophy. The AI economy increasingly rewards combinations rather than isolated disciplines.

Consider the possibilities: finance plus AI literacy, healthcare plus data analytics, marketing plus automation, journalism plus verification and data analysis, engineering plus entrepreneurship, psychology plus human-computer interaction, or communications plus AI strategy. The advantage comes from possessing expertise that gives AI something valuable to amplify.

A student who knows how to generate an impressive report with AI has a useful skill. A student who understands an industry deeply enough to recognize when the report's assumptions are wrong has a far more valuable one. This is where domain expertise becomes increasingly important. AI can make information inexpensive. Judgment about information can remain expensive.

Human Skills Are Becoming More Valuable, Not Less

One of the ironies of the AI revolution is that technological advancement may increase the value of capabilities that colleges have been teaching for centuries. The World Economic Forum expects analytical thinking to remain among employers' most important capabilities, while creative thinking, resilience, flexibility, curiosity, lifelong learning, leadership and social influence are all expected to grow in importance. The National Association of Colleges and Employers reaches a similar conclusion. Its career-readiness framework emphasizes eight competencies, including communication, critical thinking, leadership, teamwork and technology.

NACE's 2026 research found that employers consider communication, teamwork, professionalism and critical thinking particularly important for new graduates. More than 40% of surveyed employers said graduates' skills were very closely aligned with their hiring needs, while another 56% said they were partially aligned. There is nevertheless an important gap. Employers were less impressed with graduates' communication, professionalism and critical-thinking capabilities than students might expect. That creates an opportunity for students willing to develop those skills intentionally.

Knowing how to use AI will increasingly become expected. Knowing how to question its conclusions, communicate an idea persuasively, negotiate with another person, manage disagreement, lead a team and make decisions when the data are incomplete could become differentiators.

Don't Choose a Major Based on Fear

Students understandably want a degree that leads to employment. College is simply too expensive for most families to ignore return on investment. But choosing a major exclusively because it appears resistant to AI could be a mistake. Today's "safe" occupation could be transformed five years from now. Meanwhile, a profession currently considered vulnerable could evolve into something more productive and valuable because AI removes its least sophisticated work.

The better questions are broader. Does the degree teach students how to solve difficult problems? Does it provide genuine domain expertise? Are students learning to communicate and collaborate? Does the program include internships, projects or other opportunities to accumulate real-world experience? Are graduates learning to work with AI rather than pretending it doesn't exist?

Students should also consider whether their education gives them multiple possible career paths. In an environment where technology can reorganize occupations quickly, flexibility itself has economic value.

College Has to Change Too

Universities cannot place the entire burden of adapting to AI on students. If nearly half of students are seriously contemplating whether AI should affect what they study, institutions have a responsibility to explain how their programs connect to an evolving labor market. Career preparation can no longer be something introduced during senior year when students visit the career center for résumé help.

Internships, experiential learning, employer partnerships and AI literacy should increasingly be woven throughout the college experience. Students need opportunities to demonstrate what they can accomplish with technology and what they can contribute that technology cannot provide independently. Universities will experiment along the way. Some will create AI majors. Others will embed AI throughout existing programs. Still others will develop unconventional degrees around emerging industries such as digital content creation and the creator economy.

Not every experiment will survive. That is precisely what experimentation is for.

The Degree Isn't Dead. The Definition of Career Readiness Is Changing.

Predictions about technology eliminating the need for higher education have circulated for decades. AI is unlikely to make knowledge irrelevant. It may instead expose the weakness of an educational model built around memorizing information that machines can now retrieve, synthesize and generate almost instantly. The economic value of college increasingly comes from what students can do with knowledge. The graduates who thrive in the next decade may not necessarily be those who selected the supposedly perfect major at age 18. They will be the ones who learn continuously, develop expertise, understand technology, communicate effectively and adapt when their profession inevitably changes.

The World Economic Forum estimates that global labor-market transformation could create 170 million new jobs while displacing 92 million by 2030, producing a net increase of approximately 78 million jobs. That is not a labor market without opportunity. It is a labor market undergoing enormous reallocation.

For today's students, the objective should therefore be bigger than choosing an "AI-proof" major. Very few fields can realistically promise that. The smarter goal is to become AI-adaptable: technically capable enough to use powerful new tools, intellectually grounded enough to question them and human enough to provide the judgment, creativity, leadership and relationships that remain difficult to automate.

That combination may prove considerably more durable than the name printed on any diploma.

Sources

• Gallup / Lumina Foundation, 2026 State of Higher Education Study — Research on AI's influence on students' majors and career decisions, including the finding that 16% of students have changed their major or field because of AI.
• Federal Reserve Bank of New York, The Labor Market for Recent College Graduates — 2026 data on unemployment and underemployment among recent graduates.
• Federal Reserve Bank of St. Louis, "How Shifts in Labor Supply and Demand Shape Outcomes for Young Workers" — Analysis of AI, declining job openings and labor-market conditions facing young workers and new college graduates.
• U.S. Bureau of Labor Statistics, Artificial Intelligence, Information Technology and Employment, 2024–2034 — Employment projections for data scientists, cybersecurity professionals, operations research analysts and other technology occupations.
• U.S. Bureau of Labor Statistics, Occupational Outlook Handbook — Software developer compensation, employment growth and projected annual openings.
• The Washington Post, "The Hottest College Major Hit a Wall. What Happened?" — Analysis of the 8.1% decline in four-year computer science enrollment and shifting student interest toward adjacent technology and engineering disciplines.
• World Economic Forum, Future of Jobs Report 2025 — Global projections for job creation and displacement and estimates of changing workforce skills through 2030.
• World Economic Forum, Future of Jobs Report 2025: Skills Outlook — Research identifying AI and big data, cybersecurity, technological literacy, creative thinking, resilience and leadership among rapidly growing workforce skills.
• National Association of Colleges and Employers, Career Readiness Competencies — Framework identifying communication, critical thinking, teamwork, leadership, technology and other core career competencies.
• National Association of Colleges and Employers, Job Outlook 2026 Spring Update — Employer assessments of recent graduates and the importance of communication, teamwork, professionalism and critical thinking.