By a pragmatist who's watched too many brilliant people sleepwalk into redundancy
The memo has gone out. Not the one your manager sent. The one the entire economy is quietly circulating: AI is coming for jobs — and it's not being polite about it.
Goldman Sachs estimated that up to 300 million full-time jobs globally could be disrupted by AI. McKinsey puts the timeline at sooner than most people are comfortable admitting. And yet, here's the uncomfortable truth — most people are still doing exactly what they were doing three years ago, hoping it blows over.
It won't.
But this isn't a doom article. It's a preparation article. Because the people who get sacked in the AI era aren't necessarily the least talented — they're often the least adaptive. And adaptation, thankfully, is a skill you can develop starting today.
Here's how.
1. Stop Fearing AI. Start Partnering With It.
The single biggest thing that will separate survivors from casualties in the next five years isn't intelligence, experience, or even qualifications. It's willingness to work alongside AI.
Employers aren't just automating tasks — they're watching to see who leans into the new tools and who drags their feet. If you're still refusing to use AI assistants because "it feels like cheating" or "I prefer to do it myself," you're not displaying integrity. You're displaying fear — and employers can smell it.
What to do:
- Pick one AI tool relevant to your field and commit to using it daily for 30 days. ChatGPT, Claude, Midjourney, GitHub Copilot — whatever fits your role.
- Don't use it to replace your thinking. Use it to augment it. Ask it to challenge your ideas, speed up your research, or draft first versions you then refine.
- Make your AI fluency visible. Reference it in meetings. Share what you've automated. Be the person your team turns to when they want to know how to use these tools better.
The goal isn't to become a prompt engineer. It's to become someone who makes AI useful — which is a deeply human skill.
2. Double Down on What AI Can't Do (Yet)
Here's the uncomfortable irony: the rise of AI has made certain fundamentally human capabilities more valuable, not less. Employers are increasingly desperate for people who can do things that large language models genuinely cannot.
These include:
- Contextual judgement — reading a room, knowing when not to send that email, sensing what a client actually needs versus what they're saying.
- Ethical reasoning — navigating ambiguous situations where the "right" answer depends on values, not data.
- Relationship-building — forging genuine trust with clients, colleagues, and stakeholders over time.
- Creative vision — not generating content, but deciding what's worth making and why it matters.
- Cross-disciplinary thinking — connecting dots across domains in ways that require lived experience, not just pattern-matching.
AI is extraordinarily good at executing within defined parameters. It struggles with the edges — the messy, contradictory, emotionally complex spaces where human work is most important.
Make yourself irreplaceable by living in those edges.
3. Audit Your Role — Before Your Employer Does
Most people have a vague sense of what they do. Few have a precise understanding of which specific parts of their job are at risk.
This matters enormously. Because your employer's AI vendor absolutely has a spreadsheet that breaks this down.
Do your own audit:
- List every task you perform in a typical week.
- For each task, ask: Could a well-prompted AI do 80% of this, 80% as well, in a fraction of the time?
- Be brutal. Inbox management? Probably yes. Report writing? Large chunks of it. Data entry? Certainly.
- Now look at what's left. That residual — the judgment calls, the stakeholder conversations, the creative leaps, the institutional knowledge — that's your moat.
Once you know your moat, protect it. Deepen it. And make sure it's visible to your leadership. If the tasks that make you irreplaceable happen behind closed doors and never get discussed, don't be surprised when the redundancy conversation comes.
4. Become a "T-Shaped" Professional
The old model of career safety was depth: be the best at one thing and you'd always have a seat at the table. AI has partially dissolved that model. If your one thing is sufficiently narrow and well-defined, it can probably be automated.
The new model is T-shaped: broad enough to collaborate across functions, deep enough in your core area to bring genuine expertise — but with your depth anchored in the application of knowledge, not just the possession of it.
A lawyer who deeply understands contract law but also knows how to run AI-assisted due diligence, communicate strategy to a board, and spot operational risk — that's a T-shaped professional. A lawyer who only knows contract law and refuses to engage with anything else? That's a risk.
Build your T by:
- Taking online courses in adjacent fields (data literacy, behavioural psychology, UX thinking — wherever intersects with your work).
- Volunteering for cross-functional projects that take you outside your comfort zone.
- Building a genuine point of view on the business challenges your company faces, not just the technical ones in your lane.
5. Invest Heavily in Your Reputation — Inside and Outside Your Company
Here's a cold truth: in a wave of redundancies, employers rarely cut their most visible performers first — even when the work itself is being restructured. Visibility buys you time. Time buys you options.
Internal reputation:
- Be the person who brings solutions, not just problems.
- Be generous with credit and strategic about when to take it.
- Stay close to the decisions that matter. Understand what your leadership actually cares about this quarter.
- Build relationships across departments, not just within your team. The more people who would notice your absence, the safer you are.
External reputation:
- Start building your professional brand online — LinkedIn, industry publications, conferences, even a newsletter. Not to look for another job (yet), but because external credibility makes you more valuable internally.
- Share what you're learning about AI in your field. Become known as someone who's thinking ahead.
- Build a network that exists outside your current employer. Not as a backup plan — as a basic career hygiene practice.
Your reputation is the one asset that travels with you regardless of what happens.
6. Keep Learning — But Learn Strategically
The worst response to the AI era is hoarding credentials. Collecting qualifications for their own sake, or learning skills that were already commoditised before you started, won't save you.
Learn with intention:
- Focus on skills that have a high intersection with AI tools — not to compete with AI, but to direct it. Prompt engineering, AI workflow design, data interpretation, and AI ethics are all growing fields.
- Prioritise learning that results in demonstrable outputs rather than passive knowledge. Build something. Ship something. Show your work.
- Pay attention to where investment is flowing in your industry. The roles being created are often the roles worth moving towards.
- Develop a learning habit, not just occasional bursts. Thirty minutes a day compounds dramatically over a year.
The people who thrive in rapidly changing environments aren't necessarily the fastest learners. They're the ones who never stopped learning in the first place.
7. Have the Uncomfortable Conversation With Yourself About Your Next Move
This one is the hardest — and the most important.
If your role is genuinely under existential threat from AI within the next two to three years, the kindest thing you can do for yourself is acknowledge it now, while you have leverage, rather than when you're staring down a notice period.
That doesn't mean panic-quitting or abandoning a role you love. It means:
- Having an honest conversation with yourself (and trusted mentors) about the trajectory of your career.
- Identifying adjacent roles where your skills transfer — and where the long-term outlook is stronger.
- Starting to build relevant experience and connections before you need them.
- Treating career navigation as an ongoing practice, not an emergency response.
The professionals who navigate this era best won't be the ones who saw the wave coming from furthest away. They'll be the ones who used their lead time wisely.
The Bottom Line
The AI era will produce winners and losers in the job market — but not along the lines most people expect. It won't simply be "technical people win, non-technical people lose." It will be adaptive people win, rigid people lose.
Adaptability means using new tools without being threatened by them. It means doubling down on the capacities that make you irreducibly human. It means staying visible, building your reputation, and treating your career as a living strategy rather than a static identity.
You don't need to become an AI expert. You need to become someone who makes things better in a world where AI exists — and who's wise enough to keep evolving as that world changes.
That person? They're not getting sacked anytime soon.
Found this useful? Share it with a colleague who needs to hear it. And if you're navigating career uncertainty in the AI era, the most powerful thing you can do is start a conversation — with a mentor, a peer, or even yourself.