Should I Go Back to University Because of AI?

At least once a week someone asks me whether they should go back to university. Usually they're in their 30s or 40s, their job feels precarious because of AI, and a degree seems like the responsible thing to do. A fresh start. A credential. A clear path forward.

i understand the impulse completely. When I was made redundant, one of my first thoughts was "should I go back and study something?" It feels proactive. It feels like taking control. And sometimes it is the right call.

But sometimes — and I need to be honest about this — it's expensive procrastination disguised as career planning. The difference matters, and it can be the difference between spending three years and tens of thousands of pounds wisely or spending them on something that doesn't actually change your situation.

The honest question to ask first

Before we get into the cost-benefit analysis, there's one question that separates the people who benefit from going back to university from the people who don't.

Can you clearly articulate the specific job or career path you want, and does that path genuinely require a degree?

If yes — if you want to become a nurse, a teacher, a clinical psychologist, an architect — then yes, go back. Those careers have hard credential requirements. No degree, no career. The path is clear and the degree is the gateway.

If the answer is vague — "I want to understand AI better" or "I need to upskill" or "I want to be more employable" — then stop. Because there's a very good chance you're about to spend years and money on something that won't deliver what you're hoping for.

The degree-as-insurance fallacy

There's a belief that getting a degree creates a safety net. If the worst happens, at least you'll have a qualification. And for careers that require specific credentials, that's true.

But for the general "I need to be more competitive in the job market" goal, a degree is often the wrong tool. Here's why.

The job market is moving faster than universities can adapt their curricula. By the time you've completed a three-year degree in, say, data science, the tools and techniques you learned in year one may already be outdated. i studied data science originally and half of what I learned was obsolete within five years.

Employers increasingly care about demonstrated ability over credentials. If you can show you've built something, solved real problems, or delivered results using AI tools, that often matters more than a degree. The hiring managers I talk to in my consulting work consistently say they'd rather see a portfolio of projects than a transcript.

And then there's the opportunity cost. Three years at university is three years not earning a full salary, not building professional experience, and not growing your network. If you're in your 30s or 40s with financial commitments, that opportunity cost is massive.

When university genuinely makes sense

Let me be fair. There are clear situations where going back to university is the right call.

Career changes that require credentials. As mentioned — healthcare, education, law, certain engineering roles. No amount of self-teaching will let you practise medicine. If you want these careers, the degree is non-negotiable.

Deep technical transitions that benefit from structured learning. If you're moving from a completely non-technical background into something like machine learning engineering, and you need the mathematical foundations, a good master's programme can provide structure and depth that's hard to replicate alone. Note: I said master's, not a three-year undergraduate degree. If you already have a degree, a focused postgraduate programme is almost always more efficient.

You're early in your career and the degree will compound. If you're 24 and considering a career change, the maths is different from someone who's 42. At 24, a three-year degree still gives you 35+ years of career to benefit from it. At 42, the payback period is much shorter and the financial pressure much higher.

You have the financial runway. If you can afford to study without going into significant debt, or your employer will sponsor you, or there's funding available — the risk profile changes. The problem with going back to university isn't usually the education. It's the financial strain.

When university is expensive procrastination

And now the less comfortable part. Here's when going back to university is probably the wrong move.

You don't know what you want to do and hope the degree will clarify it. University is a very expensive way to figure out what you want. There are cheaper and faster ways to explore careers — shadowing, volunteering, short courses, talking to people in different fields. Committing to three years of study when you're still uncertain is a significant gamble.

You're trying to avoid the job market. This is more common than people admit. The job market is scary. AI is disrupting everything. University feels safe and structured. You get to be a student instead of a job seeker. I understand the appeal but if you're going back primarily because you're scared of what's out there, the degree won't fix that. You'll finish in three years, be three years older, and face the same job market — except now you also have debt.

The career you want doesn't actually value degrees. Many tech-adjacent roles, creative roles, and business roles are moving towards skills-based hiring. If you want to work in AI implementation, marketing, project management, or digital strategy, the people doing the hiring often care more about what you can do than where you studied. A strong portfolio and demonstrated skills will get you further.

You're choosing a degree because it's familiar. We all know how university works. You apply, attend lectures, write essays, sit exams. The process is known. That familiarity is comforting. But comfortable isn't the same as useful. The skill of figuring out a new career path without the structure of university is itself valuable, and more aligned with the kind of adaptability that the AI-disrupted job market rewards.

The alternatives that actually work

If university isn't the right path, what is? Here's what I've seen work for people pivoting their careers because of AI.

Focused professional certifications. Shorter, cheaper, and often more directly relevant to hiring. Cloud computing certifications. Project management qualifications. Specific AI tool certifications. These won't give you the depth of a degree, but they signal competence to employers and they take months, not years.

Building things. Nothing demonstrates capability like having actually done the thing. Built a small AI workflow for a local business? That's worth more on your CV than a module on "Introduction to Artificial Intelligence." Helped a charity automate their donor communications? That's a story you can tell in an interview. You don't need permission or a degree to start building practical experience.

Short intensive programmes. Bootcamps get a bad reputation, some of it deserved. But the good ones — the ones with strong employer connections and real project work — can compress a year of learning into three months. Do your research. Talk to graduates. Check employment outcomes. But don't dismiss them because they're not a "real degree."

Learning on the job. If you can get into a role where you'll learn what you need as you go, that's often the most efficient path. You earn while you learn. You build real experience. And you avoid the gap on your CV that a full-time degree creates. This might mean taking a role that feels like a step backwards. It usually isn't.

The cost-benefit analysis

Let me put some rough numbers on this for UK context, because abstract advice isn't that useful.

A three-year undergraduate degree: £27,000+ in tuition. Plus living costs. Plus three years of lost earnings. Total cost including opportunity cost: potentially £100,000+.

A one-year master's: £10,000-£20,000 in tuition. Plus one year of lost earnings. Total cost: £40,000-£60,000 including opportunity cost.

A professional certification: £500-£5,000. Completed in 2-6 months alongside work. Opportunity cost: minimal.

Self-directed learning with portfolio building: Essentially free. Time investment: variable. Opportunity cost: minimal if done alongside work.

The question isn't "is a degree valuable?" It's "is a degree more valuable than the alternatives, given my specific situation, timeline, and financial constraints?" For some people, yes. For many people, no.

Making the decision

If you're genuinely torn, here's a framework.

Write down the specific role you want after the degree. Not a vague aspiration. A specific job title at a specific type of company. Then find five people who have that job. Look at their backgrounds. How many have the degree you're considering? How many got there through other routes?

Then talk to them. Not to career advisers at universities (they're selling you something). To people actually doing the work. Ask them what they'd do if they were starting over.

The answers might surprise you. They certainly surprised me.

The one thing to do today: before committing to any educational path, find three job listings for the role you actually want. Read the requirements carefully. Note what they ask for. Then honestly assess which of those requirements a degree would fulfil and which ones your existing experience and some focused upskilling could cover. Let the evidence guide you, not the anxiety.