The safest career advice, historically, was simple: get the best qualifications you can and worry about the rest later. Before the internet, and long before AI, young people had few opportunities to demonstrate what they could do outside the classroom. Employers relied on degrees because there wasn’t much else to judge them by.
That’s no longer true. Young people can, and are increasingly expected to, build a portfolio of real work before they ever apply for their first job. Whether it’s software, research, writing, design or a side business, employers are beginning to judge candidates first and foremost on what they’ve already built, rather than their CV.
As AI reshapes the workplace, The World Economic Forum estimates that 39% of workers’ core skills will change by 2030. As the pace of change accelerates, employers are placing greater value on practical evidence that you can learn, adapt and apply new skills.
CVs are becoming a relic
As technical skills become increasingly more accessible and self-teachable, the cost of proving competence has fallen dramatically.
Degrees have always been proxies, a springboard for the skills you need to develop in the working world. They demonstrate you’re willing to learn and capable of independent discipline. This is obviously valuable, but without experience, your skills are only hypothetical to employers. It’s an unfair catch 22 that first-time jobseekers know all too well – you need experience for a job, you need a job for experience.
A tangible portfolio can give you that proof, and it’s something you can start to build before you’ve left education. Building an app, running a blog, designing prospective marketing campaigns – it doesn’t need to be perfect. If it exists and it works, it’s direct evidence of your ability. That’s much more interesting to an employer than the same CV template they’ve been looking at for years.
Creating your own skill accelerator
To be perfectly clear, AI is not an outright replacement for education. However, the gap between academia and the working world is wider than a lot of people expect. It’s hard to know where to even start before you step foot into an office. This is where AI can help you make a headstart on your practical skills.
Five years ago, building a product often meant hiring specialists across software, design, marketing and content. Today, AI can teach you to code, prototype ideas, or develop your website. It lowers the barrier in seconds – not because it does the work or the thinking for you, but shows you how to move from idea to execution.
Expertise is something you have to build yourself. Good judgement, creativity and persistence can’t be automated. To use AI as a learning tool, you need to develop a critical eye for what it spits out at you. Blindly trusting the tech (which is obviously far from omniscient) will have you taking one step forward, two steps back. Question it, force it to cite sources and provide real resources, rather than fluff.
Build before asking permission
It has never been easier for one person to build something valuable. Entrepreneurship deserves to be viewed as a way of learning, not just a side hustle.
Building a business is one example, but the same principle applies to side projects, open-source software, research, content creation, freelance work, and more. They all require you to solve real problems, make decisions with imperfect information and improve through feedback. Those experiences are difficult to replicate in a classroom, because they carry real consequences. All the best founders will tell you that failure is the best learning tool there is.
This doesn’t mean you should bin off university, or whatever path you want to choose. Make the most of all the resources available to you – but most importantly, yourself. Give yourself permission to experiment, to give your own ideas merit. This is perhaps the most important skill you’ll need in the working world, no matter what you end up doing. No one is obliged to champion you and your skills, except you.
Your career starts before your first job
Building two companies while I was still in school reinforced one key lesson for me: waiting until you feel qualified is often the biggest barrier to getting started. Your most valuable skills won’t be developed by chance or by accident. They’ll come from making decisions, solving problems, and holding yourself accountable for the outcome.
The traditional career model asks young people to spend years preparing before they’re ready to contribute – so naturally, they don’t feel ready until they’re told they are.
University, apprenticeships and graduate schemes will continue to open doors for millions of people, but they shouldn’t be the only place where a career begins. Relying on qualifications alone risks delaying the practical experience you need, at a time when the skills employers value are evolving faster than ever.
In the post-AI job market, the strongest candidates will be those that believe in their ideas and have the conviction to see them through.
