Stop Worrying About AI and Start Worrying About Your Boss
It's not the technology that's coming for you. It's the fear-based decisions disguised as strategy.
I’m not here to tell you AI is going to steal your job. I’m also not here to sell you some bullshit about how AI is just a tool and everything will be fine if you “adapt” and “upskill.” The truth is messier than either of those narratives.
The real problem isn’t AI. It’s that your boss read three LinkedIn posts about AI, had a panic attack, and is now making decisions that will absolutely screw up your work life. And honestly? That’s a much bigger threat than any algorithm.
The Panic Is the Point
Here’s what’s actually happening in companies right now. Some executive reads about how AI can “10x productivity” or “replace entire teams,” has a minor existential crisis, and immediately starts making promises to the board about cost savings. They don’t understand the technology. They don’t understand your job. But they do understand that if they don’t look like they’re “doing something” about AI, they’ll seem out of touch.
So they do something. And that something is usually terrible.
They announce layoffs “to make room for AI investment.” They mandate that everyone use AI tools whether they make sense or not. They restructure teams based on a consultant’s PowerPoint about “AI-native organizations.” They create new roles with “AI” in the title that pay less than the jobs they’re replacing.
None of this is about AI making you obsolete. It’s about executives using AI as an excuse for decisions they wanted to make anyway.
What You Should Actually Worry About
I’m not saying AI won’t change work. It will. Some jobs will disappear. New ones will emerge. Skills that matter today won’t matter tomorrow. That’s been true of every technological shift ever.
But the pace of that change and the shape it takes isn’t predetermined by the technology. It’s determined by the choices people make. And right now, the people making those choices are panicking.
What actually threatens your job isn’t that AI can do what you do. Here’s what you should actually be worried about:
Your company will pretend AI can do what you do. They’ll implement some half-baked AI solution that produces garbage output, but it’s “good enough” and cheaper than paying you. They’ll cut too deep and too fast. The quality tanks. Customers complain. But by the time anyone admits it was a mistake, you’re already gone and they’ve moved on to the next shiny thing.
They’ll restructure around AI whether it works or not. Your boss watched a TED talk and now believes the entire org chart needs to change. Never mind that the actual work still needs to get done. Never mind that the AI tools aren’t ready. The vibes say transformation, so transformation it is.
They’ll use AI as cover for labour arbitrage. “We’re investing in AI” sounds so much better to shareholders than “we’re cutting costs by hiring cheaper people and expecting the same output.” But guess what? Both can be true. They’ll cut your senior role, hire two juniors, give them an AI tool, and call it innovation.
Being measured against impossible standards. You’ll be expected to be “as productive” as AI, which is a meaningless comparison. AI doesn’t need sleep, doesn’t have context about your weird legacy systems, and doesn’t care about quality. But your boss will look at the raw output numbers and wonder why you’re not keeping up.
Working with AI slop. Even if your job is safe, you’ll spend increasing amounts of time fixing, editing, and cleaning up AI-generated garbage. It’s like inheriting a codebase written by someone who only kind of understood the requirements. Except now it’s everything.
Losing institutional knowledge. When companies cut experienced people and replace them with “AI-assisted” juniors, they lose the accumulated wisdom about why things are the way they are. You know what happens next? They repeat old mistakes. They break things that were working. They spend years relearning lessons that were already learned.
They’ll measure the wrong things. Companies will track “AI adoption rates” and “percentage of work done with AI assistance” because those numbers make good slides. They’ll see someone using AI for 80% of their tasks and think that person is replaceable. What they won’t measure is how much time you spend cleaning up AI mistakes, or the critical 20% of work that AI absolutely cannot do. This is how you end up with metrics that look good in reports but bear no relationship to actual value delivered.
Death by a thousand compromises. AI will be “good enough” for more and more tasks. Not great, not excellent, just good enough. And when everything is merely good enough, quality becomes this thing we used to care about. Your carefully crafted user experience becomes serviceable. Your elegant code becomes functional. Your thoughtful analysis becomes adequate. Individually, each compromise is small. Collectively, they erode everything that made your work worth doing.
The Gaslighting Is Exhausting
And here’s the part that really pisses me off: when this goes badly, they’ll blame you.
You’ll hear that you “weren’t adaptable enough.” That you “resisted change.” That you “didn’t embrace the AI tools.” Never mind that the tools were garbage. Never mind that the strategy made no sense. Never mind that you were right about all of it.
This is the same playbook they’ve used for every other badly managed transformation. Remember when everything had to be “agile”? Remember when everything had to be “in the cloud”? Remember when everything had to have “blockchain”? The pattern is always the same:
Hype something you don’t fully understand. Make sweeping changes based on that incomplete understanding. Blame the workers when it doesn’t magically solve all your problems. Move on to the next thing.
AI is just the latest version of this cycle. Except this time, the stakes feel higher because the fear-mongering is more intense.
And the fear-mongering works because AI feels different. It feels smarter, more capable, more threatening than cloud migrations or blockchain experiments. When you see AI write coherent text or generate working code, it hits differently than watching someone spin up a Kubernetes cluster. It’s easier to imagine your job disappearing when you’re staring at technology that can mimic some of what you do.
But here’s what that misses: your job was never just the individual tasks you perform. It’s the context, the judgment calls, the relationships, the accumulated knowledge of how your specific organization works. AI can write code, but it doesn’t know why your team made certain architectural decisions three years ago. It can draft emails, but it doesn’t understand the political dynamics between departments. It can analyse data, but it can’t tell you which numbers are bullshit because someone changed how they were tracking things halfway through the quarter.
Your boss doesn’t think about any of that when they’re panicking. They just see “AI can write code” and think “why am I paying developers?”
The Strategy They Won't Tell You
Here’s the uncomfortable truth: your company probably doesn’t have a coherent AI strategy. They have AI panic dressed up as strategy.
Real AI strategy would involve carefully evaluating which tasks are actually good candidates for automation. It would involve testing and iteration. It would involve training people properly on new tools. It would involve honest conversations about what’s working and what isn’t.
Instead, what you’re getting is vibes-based transformation. Someone important got scared, and now everyone has to pretend we have a plan.
The problem is that you can’t opt out. You can’t just ignore the panic and keep doing good work, because the panic is reshaping everything around you. Budgets. Headcount. Priorities. Tools. Processes. All of it is getting churned up in service of looking like your company is “serious about AI.”
And here’s the real kicker: some of your colleagues will buy in. They’ll become true believers in the AI transformation. Not because it’s working, but because believing is safer than questioning. They’ll evangelize the tools, hit the adoption metrics, and position themselves as “AI champions.” When the layoffs come, they’re hoping that enthusiasm will be armour.
Maybe it will be. Or maybe the company will decide they don’t need AI champions once the “transformation” is complete. Either way, you’ll be stuck in meetings where people pretend that obviously broken processes are actually innovative breakthroughs, and disagreeing marks you as resistant to change.
So What Do You Actually Do?
I wish I had better advice than this, but: document everything, keep your skills current, and don’t drink the Kool-Aid.
Document your actual impact. Not the stuff AI could theoretically do. The stuff that requires judgment, context, relationships, and institutional knowledge. The messy human work that doesn’t fit neatly into prompts. Make sure you can articulate your value in terms that survive the panic.
Learn to work with AI tools, but stay honest about their limitations. You need to understand what they can and can’t do, so you can push back when someone suggests using them for something stupid. And trust me, someone will suggest something stupid.
Build optionality. Keep your resume updated. Maintain your network. Don’t let yourself get trapped in a company that’s making bad decisions because “AI transformation” gives them cover.
Push back on terrible metrics. If someone wants to measure your productivity by comparing you to AI output, make them define what quality means. Make them explain how they’re accounting for the time spent fixing AI mistakes. Make them justify the comparison. They probably can’t, but make them try.
Find allies. You’re not the only one who thinks this is madness. Find the other people who see through the bullshit. Support each other. Document the failures together. When the panic subsides and someone finally asks “how did this go so wrong,” you want to have receipts.
Know when to leave. Some companies will handle this reasonably well. Others won’t. If your company is making decisions that are obviously destructive, if they’re cutting people they shouldn’t cut and investing in tools that don’t work, if the panic has fully taken over, you might need to get out. There’s no shame in recognizing a sinking ship. The shame is in going down with it when you had other options.
The Panic Will Pass
Here’s the thing about panic: it’s temporary. Not because the underlying situation changes, but because people get exhausted. At some point, the executives will move on to the next crisis. The consultants will find a new thing to sell. The hype cycle will shift.
What will remain is the actual, useful applications of AI. The places where it genuinely makes work better. The tools that people actually want to use because they solve real problems. The boring, practical stuff that doesn’t make for good LinkedIn posts.
But between now and then, you’re going to have to survive your boss’s panic attack. And that means staying grounded while everyone around you loses their shit.
The survivors of this panic won’t be the people who resisted AI completely or the ones who embraced it uncritically. They’ll be the people who kept their heads. The ones who learned to use the tools where they made sense and pushed back where they didn’t. The ones who documented their value in terms that couldn’t be hand-waved away with “but AI can do that.” The ones who built enough credibility and optionality that they could weather the storm.
It’s exhausting to be that person. It’s exhausting to be the voice of reason when everyone else is either panicking or performing enthusiasm. It’s exhausting to keep producing good work while the organization around you optimizes for looking busy. It’s exhausting to maintain your standards when you’re being measured against metrics that reward volume over quality.
But the alternative is worse. The alternative is letting the panic dictate your choices. Letting fear-based decisions reshape your career. Accepting that this is just how things are now.
AI isn’t taking your job. But your boss’s panic about AI might reshape it in ways that make it worse, pay less, or disappear entirely. That’s not because the technology demands it. It’s because the people in charge are making fear-based decisions and calling it strategy.
Don’t let them gaslight you into thinking this is inevitable. It’s not. It’s a choice. They’re just not choosing wisely.
Stay cynical out there.