Future Leaders' Reflections

No one is coming to save your career

Adaptability over certainty: What counts as relevant competence in the future? No one knows for sure and I suppose it’s a moving target. If predictions were accurate, we’d probably have flying cars by now.

Instead, we’re still debating whether we dare trust self‑driving vehicles. What we can say is that the pace of change is accelerating, currently almost uncomfortably fast.

Future Leaders' Reflections

No one is coming to save your career

Adaptability over certainty: What counts as relevant competence in the future? No one knows for sure and I suppose it’s a moving target. If predictions were accurate, we’d probably have flying cars by now.

Instead, we’re still debating whether we dare trust self‑driving vehicles. What we can say is that the pace of change is accelerating, currently almost uncomfortably fast.

Elisabeth Berntsen Gardum.

Because of this, future human competence is not only a fixed list of skills. It comes down to staying curious, updating skills and being willing to try new approaches to your daily work, all qualities that help us grow alongside technology rather than chase after it. That sounds simple, but it demands humility: a recognition that much of what we need to know still lies ahead of us.

Transition isn’t just an energy story


If AI becomes the go‑to source for learning, what does that mean for traditional education? Will people still invest in university degrees?


Formal education aside, I’ve relied on YouTube to learn stuff for years, from assembling a stroller to mastering Beyoncé lyrics. Knowledge has been available at our fingertips, just one ad away. AI now makes that look almost old‑fashioned.


Tools that once helped me understand things “in real time” have been replaced by systems that tailor answers instantly. I adjust my prompts, set the level of depth, and get clear explanations. I’ve learned more about AI from AI than anywhere else. If that doesn’t signal its influence, nothing does.


The courageous act here isn’t using AI. It’s accepting that how we learn and how fast, has fundamentally changed. This shift also affects how organisations and educational institutions should think about learning. When knowledge moves this quickly, it’s no longer sustainable to create development programmes that take months to build and start ageing the moment they launch.

So what is the employer’s responsibility?


"What are you going to do to ensure I have the right competence?" an employee might ask. It's a fair question. But here's the uncomfortable truth: your employer is probably not your best career development strategy. They can offer access to learning and create space for growth, but long-term relevance in a fast-moving field isn't something any organisation can package and hand to you. The employees who stay relevant are the ones who stopped waiting to be developed and started developing themselves. That initiative has to come from you.

Same industry, different you


I doubt my own job will look the same a few years from now. Perhaps you have the same perception about your job? Too many of my tasks could be automated, and too many of us share similar roles that will inevitably disappear or transform beyond recognition. Skills I take pride in being good at will be codified and performed by agents working 24/7. That could feel unsettling, knowing your role might dissolve in its current form, but I try to look at it differently. How can I shape this change instead of resisting it? For me, it starts with mindset. If I use AI proactively, I’m freed from repetitive tasks, I can respond faster, and I have more room for complex work or do something entirely new. Reinvention doesn’t have to be a threat. It can be an opportunity, as long as you don’t insist on things staying exactly as they are today.

Competence expires. Courage doesn't.


The relevance of your competence isn’t guaranteed tomorrow. And being the specialist isn’t necessarily enough, you need to evolve within your field and treat your skill set as something dynamic. That means adopting new tools, dropping outdated habits, and adjusting your perspective.


It also requires resilience. When circumstances shift and your contribution suddenly holds different value, the people who thrive will be those who see change as part of their professional identity.


Humility underpins all of this. Knowing you’re never “done” learning keeps you open to new ideas and ways of working. Choosing to stay a beginner, again and again, might be the most underrated form of courage we have. Are you courageous enough to reinvent yourself?

Don't wait for permission


Are you willing to leave your relevance in someone else’s hands? Trusting others to safeguard your future career prospects is a risky plan, especially when the world offers abundant learning opportunities, many of them almost free. The main investment is your time, and the return can directly influence your opportunities and earning power.


The era of staying decades in one company and leaving with a gold watch is fading. The new generation prioritises development, opportunity, and growth over stability. As a result, employers cannot (and should not) promise career‑long reskilling in the old way.


So, take ownership. (And yes, this is also a reminder to myself to put the remote down and do the same.) Find the learning approach that works for you, but don’t leave your development to chance. Staying relevant in an AI‑first workforce requires initiative. No one is coming to save your career. But you can start. And that decision only requires you.

Elisabeth Berntsen Gardum
P&O Business Partner, Aker BP

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