AI is Not Coming for Your Job. Your Company Is.

I want to reframe something that might change how you think about all of this.

AI is not coming for your job.

Your company might use AI as the reason it comes for your job. But those are very different things, and the difference matters more than you think.

I know this might sound like semantic games. It's not. Where you direct your anxiety determines what actions you take, and most people are directing their anxiety at the wrong target. They're watching AI demos with dread when they should be watching their company's quarterly earnings call. They're reading about what GPT can do when they should be reading about what their CEO said at the last all-hands.

AI is a technology. Technologies don't make staffing decisions. People do. Specifically, your company's leadership does. And understanding their motivations and incentives is far more useful than understanding the latest model benchmarks.

The convenient scapegoat

Here's a pattern I see constantly in my consulting work.

A company decides it needs to cut costs. This is a human decision, made by executives, usually under pressure from a board or shareholders. The company then announces a "transformation programme" or a "restructuring driven by AI-enabled efficiencies." The layoffs happen. The narrative is: AI made these jobs unnecessary.

But dig into the actual details and you often find something different. The AI tools they've implemented are basic. The "efficiencies" are marginal at best. The real driver was a revenue miss, or a merger, or a new CEO who wants to put their stamp on the organisation, or simply the relentless pressure to improve margins.

AI is the cover story. It sounds modern. It sounds inevitable. It sounds like nobody's fault. "We had to do it because of AI" is a much better press release than "we had to do it because we overhired during the boom" or "we had to do it because our strategy was wrong."

I sat in a meeting last year where a senior leader explicitly said, and I'm paraphrasing only slightly: "We need to cut fifteen percent of staff. Let's frame this around our AI initiative so it looks like transformation rather than failure." That's not AI coming for your job. That's your company coming for your job and using AI as the excuse.

The incentive structure

To understand why this happens, follow the money.

Executives are rewarded for cutting costs. Share prices go up when companies announce "efficiency programmes." Bonuses are tied to margin improvement. A CEO who announces AI-driven restructuring gets praised by analysts as forward-thinking. The same CEO announcing the same cuts without the AI framing gets questioned about what went wrong.

Consultancies sell AI transformation. Full disclosure: i'm a consultant. I see how the industry works. There's an enormous amount of money in telling companies they need to restructure around AI. Some of that advice is genuine and necessary. Some of it is consultancies selling a solution and then helping the company find problems to justify it.

Tech companies benefit from the narrative. Every time a company lays off workers "because of AI," it's free advertising for the AI tools. It reinforces the message that AI is powerful enough to replace people. Which sells more AI subscriptions. Which funds more AI development. The companies building AI tools have a direct financial interest in you believing those tools can replace you, regardless of whether they actually can at this point.

Shareholders reward the story. Markets love the AI narrative. Companies that announce AI strategies see stock bumps. Companies that announce AI-driven headcount reductions see bigger stock bumps. This creates a incentive to frame every operational decision as AI-related, whether it genuinely is or not.

What this means for your anxiety

If the threat is AI, then the only response is to somehow become AI proof. Which feels impossible because AI keeps getting better. This framing leads to helplessness.

But if the threat is your company's decision-making, then there are things you can actually watch for, prepare for, and respond to. Companies telegraph their intentions if you know where to look.

Watch the earnings calls. When your CEO starts talking about "efficiency" and "doing more with less" and "leveraging technology," that's not abstract strategy. That's groundwork for headcount reduction. You can listen to these calls. They're public. The language is coded but not complicated.

Watch the hiring patterns. If your company is hiring AI engineers while freezing hiring in your department, that tells you something specific about where they see the future. This information is available on LinkedIn. Use it.

Watch the middle management. When middle managers start getting pulled into "confidential" meetings and come back looking stressed, when they dodge questions about "next year's headcount," when they start saying things like "nothing's been decided yet" without you having asked... these are signs of restructuring and they're more reliable than any AI benchmark.

Watch who gets invited to strategy meetings. If you used to be in the room and now you're not, that's a signal. If your team used to present to leadership and now it's a different team presenting about AI, that's a signal. Organisational attention is the leading indicator.

The companies that do it well vs. the ones that don't

I want to be fair. Some companies are genuinely, thoughtfully integrating AI in ways that change roles rather than eliminate them. They retrain people. They redesign workflows. They move people into new positions that didn't exist before. These companies exist and they deserve credit.

But they're the minority.

The majority of companies i see are using AI as a narrative device in a cost-cutting exercise they would have done anyway. The technology is real. The capabilities are real. But the gap between "AI can do this task" and "we've successfully restructured our organisation around AI" is massive, and most companies are using the former to justify the latter without having actually done the work.

The HR professionals I work with who are honest about this will tell you the same thing. The AI transformation story looks great in the board deck. On the ground, it's usually messier, less complete, and more about headcount than technology.

Redirecting your energy

Once you understand that the threat is organisational rather than technological, you can redirect your energy in ways that are actually useful.

Stop trying to outrun AI. You can't be better than software at software things. That's not the game. The game is being valuable to your specific organisation in ways that survive the next round of decisions by the specific humans who make those decisions.

Start understanding your company's financial position. Is revenue growing? Are margins under pressure? Is there a new CEO? Has the board changed? Are competitors cutting? These factors predict restructuring far more reliably than whatever OpenAI announced this week.

Build relationships with decision-makers. Not sycophancy. Visibility. When headcount decisions are made, the people making them protect the people they know, trust, and see as part of the future. Being an anonymous high-performer is the most dangerous position in a restructuring. i've written more about why performance alone won't save you.

Have a plan B that isn't about AI. Your contingency plan should be about you, not about technology. Updated CV. Active network. Savings buffer. Knowledge of your redundancy rights. These protect you regardless of whether the restructuring is AI-driven, cost-driven, merger-driven, or just driven by a new executive wanting to shake things up.

The uncomfortable implication

If AI isn't the real threat, then the real threat is that you work for an organisation that might decide you're expendable. And that was true before AI existed. AI just made it more visible and gave it a more palatable narrative.

This is uncomfortable because it means the insecurity isn't temporary. It doesn't go away when AI hype calms down. It's a structural feature of employment. Companies will always optimise for cost. They'll always use whatever narrative is available to justify it.

The response isn't panic. It's clear-eyed self-interest. Know your value. Know your rights. Know your options. And pay at least as much attention to your company's behaviour as you do to the latest AI model release.

The one thing to do today: listen to or read the transcript of your company's most recent earnings call or all-hands. Note every mention of AI, efficiency, or transformation. Ask yourself: is this about technology, or is this about cost? The answer might change where you focus your energy.