AI and Your Career in Your 20s: A Different Kind of Advice

Most career advice for people in their 20s right now falls into two categories. Either it's the terrifying "AI will take all the jobs" doom scrolling. Or it's the relentlessly cheerful "just learn AI and you'll be fine" stuff that's essentially "learn to code" repackaged for 2026.

Neither is particularly useful. So here's a different take, from someone in his 40s who was made redundant and now consults on AI transformation for a living. I'm not going to tell you what career to choose. I'm going to tell you what I wish I'd known at your age about how to be resilient in a world that's going to keep changing.

Your actual advantage

i hear a lot of twentysomethings talk about their disadvantages. No experience. Low pay. Can't get hired. All real. All valid.

But there's one advantage you have that people my age would genuinely trade significant things for: low commitments.

You probably don't have a mortgage. You might not have kids. Your fixed monthly costs, even if they feel brutal on a graduate salary, are almost certainly lower than someone in their 40s. That financial flexibility is a career superpower, and you probably don't realise how valuable it is because you've never not had it.

What does that flexibility actually mean in practice? It means you can take a job that pays less but teaches you more. It means you can quit something that's going nowhere without your family going hungry. It means you can move to a different city for an opportunity. It means you can try something and fail without the consequences being catastrophic.

People in their 40s and 50s are dealing with AI disruption with far less room to manoeuvre. You have room. Use it deliberately.

Stop looking for the safe career

Every few months someone asks me "what career is safe from AI?" and my honest answer is: I don't know. Nobody does.

Three years ago, people said creative roles were safe. Then generative AI happened. Two years ago, people said coding was safe because AI needed coders. Then AI started writing its own code. People said healthcare was safe. Then AI started outperforming junior doctors on diagnoses.

The pattern isn't "some careers are safe and some aren't." The pattern is that the boundary keeps moving.

So the advice to pick an "AI-proof career" is fundamentally flawed. You can't optimise for a target that moves. What you can do is build yourself into someone who adapts when the target moves. And that's a different kind of career strategy.

What adaptability actually looks like

Adaptability isn't a personality trait. It's a set of specific, buildable skills. Here's what I mean.

Breadth of experience matters more than depth right now. This is counterintuitive. We're taught to specialise. Pick your lane. Become an expert. And there's value in that. But in a rapidly changing landscape, the person who's worked across three different functions understands how AI affects a whole organisation, not just one department. Early in your career, say yes to lateral moves. Work in different teams. Take on projects outside your core role. The generalist premium is real and growing.

Financial literacy is career literacy. i cannot stress this enough. Understanding money — how to budget, save, invest, and build a financial buffer — is directly career-relevant in an age of AI disruption. The person with six months of savings can wait for the right opportunity. The person living paycheck to paycheck has to take whatever comes. Start building financial resilience now, even on a modest salary. Even fifty quid a month into an emergency fund changes your options.

Communication skills compound. The ability to write clearly, speak persuasively, listen properly, and navigate difficult conversations gets more valuable with time. AI can write emails and draft presentations. It can't sit across from a furious client and de-escalate the situation. It can't read the room in a team meeting and realise someone's about to resign. These skills are genuinely hard to develop and that's exactly why they're valuable.

Learn to learn fast. The specific tools you learn now will be outdated in a few years. That's fine. What matters is building the meta-skill of picking up new tools quickly. When the next wave of AI tools arrives, the people who thrive won't be the ones who mastered the last wave. They'll be the ones who can learn the new wave in a week while everyone else is still on a waiting list for a course.

The AI skills that actually matter

Yes, you should learn to use AI tools. But "learn AI" is vague to the point of uselessness. Here's what specifically matters.

Understanding what AI is good at and what it's bad at. This seems basic but most people don't have it. AI is excellent at pattern matching, summarisation, first drafts, and processing large volumes of data. It's bad at judgement, novel situations, anything requiring empathy, and knowing when it's wrong. If you understand this distinction properly, you can use AI tools ten times more effectively than someone who just prompts and hopes.

Knowing how to evaluate AI output. AI produces confident-sounding rubbish with alarming regularity. The skill isn't generating output. It's knowing when the output is good, when it's subtly wrong, and when it's complete nonsense. That evaluation skill requires domain knowledge, which is another reason to build broad experience early.

Understanding AI at the organisational level. How does AI change workflows? How does it affect team structures? What happens when a company implements AI badly? This strategic understanding is what will separate you from the millions of other people who can use ChatGPT. Anyone can use the tool. Fewer people understand what the tool means for how work gets done.

What I'd have done differently

If I could go back to my 20s with what I know now, here's what I'd change.

I'd have saved more aggressively. Not because I'm naturally frugal — I'm not — but because financial runway is the most underrated career asset there is. When I was made redundant, the difference between panic and calm was entirely about how many months I could cover without income.

I'd have changed roles more often. I stayed in my first job for four years because I was comfortable. I should have moved after two. The learning had plateaued but the comfort was seductive. Your 20s are for accumulating diverse experience, not for settling in.

I'd have invested more in relationships and less in credentials. The two best career opportunities I ever had came from people I knew, not from qualifications I held. Your network at 25 feels irrelevant. By 35, it's the most valuable professional asset you have. Build it now.

I'd have worried less about picking the "right" career and more about building transferable capabilities. My first three jobs were in completely different fields. At the time, I thought my CV looked unfocused. In retrospect, those different experiences gave me the adaptability that eventually let me pivot successfully after redundancy.

The anxiety management bit

i know the AI anxiety is real. I talk to people in their 20s regularly who are genuinely frightened about their career prospects. That fear is understandable. The landscape is uncertain in a way it hasn't been for previous generations at this career stage.

But here's what I've learned from going through disruption personally: anxiety is almost always worse than the reality. Not because the reality is fine — sometimes it isn't — but because anxiety is vague and reality is specific. When vague fear turns into a specific situation, you deal with it. Humans are remarkably good at dealing with specific situations.

The goal isn't to eliminate the anxiety. It's to channel it into preparation rather than paralysis. Every hour you spend doom scrolling about AI taking jobs is an hour you could spend building a skill, making a connection, or saving some money. The preparation doesn't have to be dramatic. It just has to be real.

The 40-year view

Your career will probably last until you're in your mid-to-late 60s. That's 40+ years from now. Whatever is happening with AI right now is the first chapter of a very long story.

Some of the jobs you'll do don't exist yet. Some of the industries you'll work in haven't been created. The specific thing you're anxious about today will almost certainly be resolved or replaced by a different thing to be anxious about within five years.

That's not meant to be dismissive. It's meant to be freeing. You don't have to get this right now. You don't have to pick the perfect path. You have to build the foundations — skills, relationships, financial resilience, adaptability — that will serve you regardless of what happens next.

The one thing to do today: open a savings account and set up a standing order for whatever you can afford. Even a small amount. Not because saving money is exciting. Because the person with options makes better career decisions than the person without them, every single time.