The Experience Trap: When 20 Years of Seniority Isn't Protection

For most of my career, the implicit deal was clear. You put in the years. You build expertise. You become the person everyone comes to with the hard questions. And in return, you get seniority, better pay, and a certain amount of job security.

That deal has been quietly voided. And most people with 15 or 20 years of experience haven't noticed yet.

i was one of them. I'd been at my company for years, was well-respected, knew things nobody else knew about our systems and processes. I felt secure in a way that turned out to be completely delusional. When redundancy came, my experience was irrelevant. In fact, my experience — and the salary that came with it — was part of why I was let go.

Here's what I've learned since, both from my own experience and from consulting for companies going through AI transformation.

The false security of tenure

There's a psychological comfort in seniority that's hard to overstate. You've survived previous rounds of cuts. You've been promoted. People ask for your advice. Your calendar is full. You feel embedded, necessary, structural.

But companies don't think about you the way you think about yourself. To you, 20 years of experience means wisdom, depth, reliability. To a financial model, 20 years of experience means a high salary band, expensive benefits, and a long notice period. When the spreadsheet comes out — and in AI transformation, the spreadsheet always comes out — your row is one of the most expensive.

i'm not being cynical. I'm describing what I've seen from the other side of the table. When companies implement AI and look for "efficiency gains," they don't start by cutting the cheapest people. They start by asking: where can we save the most? And the answer, consistently, is the senior band.

How seniority becomes a target

Here's the specific mechanism. It's worth understanding because it's not malicious. It's just maths.

A senior employee costs, say, three times what a junior one does. If AI tools mean that two juniors with AI assistance can cover 80% of what the senior person does, the business case writes itself. You don't even need to replace the senior person perfectly. You just need to get close enough that the cost saving justifies the capability gap.

And here's the part that really stings: companies are often willing to accept that capability gap. They know they're losing something. Institutional knowledge. Judgement. Client relationships. But they've done the arithmetic and decided the saving is worth it.

The people making these decisions aren't stupid. They know experience has value. They just think the value is less than the cost. And with AI filling some of the gap, they might be right. Or they might be wrong and discover it in 18 months. Either way, you're already gone.

The institutional knowledge illusion

"They can't let me go. I'm the only one who knows how the system works."

i have heard some version of this from dozens of people. And in almost every case, they were wrong.

Here's the thing about institutional knowledge. It feels irreplaceable because it's in your head. But organisations are remarkably good at muddling through without it. They document what they can. They ask around. They figure things out. They accept temporary chaos. And after six months, the person who "couldn't be replaced" has been replaced. Imperfectly, yes. But sufficiently.

AI accelerates this. Tools that can search through years of documentation, emails, and records can surface institutional knowledge that previously only existed in one person's memory. Not all of it. Not perfectly. But enough to weaken the argument that you're irreplaceable because of what you know.

The uncomfortable truth is that being the keeper of knowledge isn't the same as being valuable. It's being a single point of failure. And organisations, when they're being rational, try to eliminate single points of failure.

When "being good at your job" isn't enough

This links to something I've written about before. Being good at your job is necessary. It's just not sufficient.

The experience trap is specifically about people who are good at their jobs. People who've spent decades getting genuinely excellent at what they do. The trap isn't incompetence. The trap is that your excellence has been priced into your salary, and AI is now offering a cheaper version of something similar.

A lawyer with 20 years of experience in contract review is excellent at it. But an AI can now do a first pass of contract review that catches 90% of what the lawyer catches, at 1% of the cost. The lawyer's remaining value is in the 10% that AI misses — the nuanced judgement, the contextual awareness, the ability to spot what's between the lines. That's real value. But is it enough to justify the lawyer's full salary? That's the question companies are asking.

The AI fluency factor

There's another dimension to this. Some companies are explicitly valuing AI fluency over experience. They'd rather have someone with five years of experience who's deeply integrated AI into their workflow than someone with twenty years who uses AI occasionally or not at all.

This isn't fair. Experience and AI fluency aren't the same kind of thing. But the market doesn't care about fair. The market cares about perceived value. And right now, there's a premium on people who can demonstrate that they work with AI, not just alongside it.

The irony is that experienced people who do embrace AI are often more effective with it than juniors. They have the judgement to evaluate AI output. They know when the AI is wrong. They can use AI to amplify genuine expertise rather than substitute for a lack of it. But you have to actually do it. Knowing that you could learn AI tools is not the same as having learned them.

How to protect yourself

Right. Enough about the problem. Here's what I've seen work.

Shift from knowledge-holder to decision-maker. If your value is based on what you know, you're vulnerable. If your value is based on the decisions you make — especially decisions that require judgement AI can't replicate — you're more secure. This might mean actively seeking out the ambiguous, complex, human-centric parts of your work and becoming known for those, rather than for your technical or procedural expertise.

Make your value quantifiable. When the restructuring conversation happens, the people who survive are the ones who can point to specific revenue generated, costs saved, clients retained, or disasters averted. Vague seniority doesn't survive a spreadsheet. Specific, measurable contributions do. Start tracking yours if you aren't already.

Close the AI fluency gap visibly. Not secretly, on your own time. Visibly. Be the senior person in your team who's using AI tools, talking about them, showing others how they work. This serves two purposes. It protects you from the "expensive and outdated" label. And it positions you as someone who combines experience with modern tools, which is genuinely the most valuable profile a company can have.

Build relationships with the people making decisions. This is political and I make no apology for saying so. When restructuring happens, it's not purely rational. People keep the people they know, trust, and feel connected to. If the person deciding who stays and who goes has a personal relationship with you, that matters. Not in a corrupt way. In a human way. Visibility and relationships are part of your survival toolkit.

Have a genuine exit plan. Not a fantasy about starting a business. A real plan. Where would you go? Who would you talk to? What would your first three moves be? Financial preparation is part of it. So is having a network outside your current employer. So is having an updated CV that frames your experience in terms of outcomes, not tenure.

The emotional bit

There's grief in realising that your years of hard work don't provide the security you thought they did. It feels like the rules changed mid-game. Because they did.

i'm not going to pretend that's fine. It isn't. Twenty years of dedication to a craft should mean something. And it does — just not in the way we were promised. Your experience made you who you are. It gave you skills and judgement that are genuinely valuable. But the market's willingness to pay for those things is being renegotiated in real time.

The people who navigate this best are the ones who grieve the old deal, accept the new one, and start playing by the new rules while they still have a position of strength. Not the people who insist the old rules should still apply. They should. But they don't.

The one thing to do today: look at your role through the eyes of someone with a spreadsheet. What do you cost? What could a less experienced person with AI tools do? Where is the gap? That gap is your value proposition. If it's not big enough, you know what to work on.