10 popular college degrees AI is making redundant right now
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Thousands of students are graduating this year with degrees that train them for jobs AI already does. They spent four years studying and taking on debt only to walk into a job market shedding white-collar workers by the thousands every day. Jack Dorsey's company, Block, announced it was cutting its workforce by 40%. Oracle is reportedly laying off as many as 30,000 of its employees in order to focus on AI infrastructure.
When I was 16, I sat in front of a careers advisor and picked from a list of jobs that existed in 2003. Social media manager was not on that list. Six years later I started my own social media agency, built it for a decade, and sold it in 2021. My business management degree included a marketing module that didn’t mention social media once; as far as the business world was concerned, it wasn't relevant.
Now the same thing is happening with AI. The difference is speed. The roles AI replaces will not wait for graduates to retrain. A Goldman Sachs report estimated that 300 million full-time jobs globally are exposed to AI automation, with two-thirds of U.S. occupations facing some degree of impact.
Every student still has a path forward, but only if you know where the value moved.
The college degrees losing ground to AI
1. Generic business administration
AI builds business plans, analyses markets, and writes strategy documents. A broad business degree without a specialism puts you in a pool of candidates who all learned the same curriculum. Goldman Sachs found that 46% of administrative tasks could be automated by AI, and those are the exact tasks generic business graduates are trained to perform.
Pick a lane. Finance, operations, supply chain, sales leadership. Generalists get filtered out. Specialists get hired.
2. Basic marketing degrees
Content creation, campaign management, and performance reporting are handled by AI tools that work around the clock. According to a ResumeBuilder survey, 48% of companies using ChatGPT have already replaced workers, with copywriting and content creation among the top use cases.
What survives is taste, positioning, and distribution strategy. If your degree taught you marketing theory and how to write ad copy, you graduated into a shrinking job market. Learn to create content that AI powers but humans direct.
3. Journalism and media studies
AI produces articles, summaries, and headlines at scale. Entry-level newsroom roles are shrinking because the work those roles performed is now automated. A 2025 study found that about half of American adults and AI experts expect AI to lead to fewer journalism jobs over the next two decades.
Investigative reporting, opinion writing, and personality-driven content still hold value because they require original thinking and human judgment. If you studied journalism, double down on those skills and build a personal brand around a specific beat that makes you irreplaceable.
4. Communications degrees
Drafting emails, managing internal messaging, writing press releases. These are tasks AI handles pretty well, and it’s only going to get better. Communications degrees train graduates for work that has become AI-native, and the hiring market reflects it. Communications-adjacent roles are some of the most exposed.
Unless you pair communications training with influence, leadership, or crisis management skills, the degree alone won't open doors. The people thriving in comms right now are the ones who manage stakeholders, understand persuasion, and think bigger about their role.
5. Paralegal and pre-law tracks
AI reviews documents, drafts legal summaries, and finds case precedent in seconds. 44% of legal work tasks could be automated by AI very soon. And the middle layer of legal support is thinning fast. If you studied to become a paralegal and stopped there, the career path is narrower than it was three years ago.
Top-tier legal careers still pay well. The value sits at the top, in advisory, negotiation, and courtroom strategy. If you're on a pre-law track, go all the way. Half-measures in law are getting squeezed out.
6. Basic computer science
AI writes code, debugs programs, and scaffolds entire applications. Non-technical founders are vibe coding all day. The average developer loses leverage while the top engineer gains it. A computer science degree without depth in architecture, machine learning, or systems thinking lands you in a crowded market where AI does the entry-level work.Go deeper. Learn to build things AI cannot build alone. Specialize in security, infrastructure, or the intersection of AI and a specific industry. The degree still has power, but only when paired with skills that set you apart.
7. Accounting
Bookkeeping, reconciliation, and standard financial reporting are rules-based tasks. AI handles them with speed and accuracy that human accountants cannot match. It's estimated that up to 86% of bookkeeping and accounting tasks could be automated. No, that doesn't mean 86% of jobs will vanish, but clearly far fewer entry and mid-level staff will be required.
Advisory work, tax strategy, and complex financial interpretation remain valuable where a human is definitely needed. But maybe not forever. Either way, push toward the strategic end. Become the person clients trust for judgment calls, not data entry.
8. Finance
Spreadsheet modelling, reporting, and basic analysis are AI territory now. Finance degrees that stop at these skills are losing their premium. College majors exposed to AI, including those in business and finance, have experienced significant increases in graduate unemployment as the technology reshapes entry-level hiring.
Move toward investment strategy, fintech, or predictable revenue creation. Train the AI responsible for doing the analysis and projections..The finance industry still pays at the top. The middle layer, where graduates run reports and build decks, is where the compression happens.
9. Graphic design
AI generates logos, brand assets, and social content in minutes. The World Economic Forum's 2025 Future of Jobs report identified graphic design as the 11th fastest declining job category over the next five years. Two years earlier, the same report classified it a moderately growing profession.
Creative direction, brand thinking, and taste are where the value lives. Learn to direct AI tools rather than compete with them. The designers winning right now are the ones who shape strategy and make decisions that machines can’t.
10. English literature (purely academic)
Generative AI produces and refines text instantly, reducing the need for the kind of routine writing work that served as a career entry point. Many of the jobs English graduates aim for, including writing, editing, and publishing, depend on structured, repeatable tasks. They follow conventions, not creativity, which makes them easy to automate.
Writing, critical thinking, and interpretation are powerful skills when applied. Storytelling is essential. The gap is application. Pair literary training with content strategy, UX writing, or digital products. Keep it purely academic and the path to earning gets harder every year.
What makes any degree worth the investment in the AI era
Every degree on this list can still lead somewhere good. The variable is what you do with it. Be creative and resourceful. Use the tools available. Learn AI and get ahead of it, because if the robots are in charge you want to be the one training the robots.
Treat your degree as a starting point, not a destination. And consider if you need one at all. The graduates who use AI instead of fearing it will build the careers of the future.