AI Won't Replace Me — But I Don't Want to Wait and Find Out

A few weeks ago, halfway through building my latest AI side project, I caught myself thinking: "You're not in trouble. You're not looking to quit. So why are you spending nights and weekends building something new?"

It's a fair question — one I don't think enough people in tech are asking themselves right now.

The truth is, I have a great job in a company that puts AI at the center of its future plans. I'm not worried about losing my spot any time soon. But that's exactly why I feel compelled to act — because sitting still and assuming things will stay safe might be the real risk.

Here's what finally pushed me to start building — now, not later.

Productivity Isn't Just Improving — It's Morphing

We're used to talking about "boosts" in productivity. But with generative AI — especially large language models — what I see now isn't a mere boost.

It's a gear shift.

In my day job as an AI engineer, I've seen tasks that used to take days shrink to hours, and work that took teams can now be prototyped by one person, fast. Five- to ten-fold productivity leaps are no longer stories — they're Monday mornings.

And this goes way beyond engineers. AI is now quietly reshaping how people across roles write docs, structure research, find answers, communicate.

It's not local. It's everywhere.

The Simple Math (That's Not So Simple)

If one person can do the work of three — and demand doesn't triple — what happens? Companies need fewer people.

It's not dystopian. It's just arithmetic.

I'm not alone in seeing this. The latest rounds of layoffs at Microsoft, Google and beyond — many dressed up as "efficiency" or "restructuring" — are really about a new ratio of people to output.

It's not about failing at your job; it's that the same job now needs fewer hands.

Why This Round of Layoffs Isn't the Harshest

Oddly enough, I think what we're seeing now is actually the least harsh moment.

Most companies are being cautious — nobody wants to break the system overnight.

The true "AI re-org" will be far more profound.

Once organizations fully align roles to what AI enables, entire layers could vanish.

It's not hard to imagine turbulence — not just for businesses, but for society.

Dario Amodei (Anthropic's CEO) put it bluntly in a recent Axios interview:

AI may bring rapid, sweeping white-collar unemployment.

That's not the future. That's this decade.

Who's Being Squeezed Out? A Shift from Multipliers to Self-Starters

A pattern is clear: middle managers — people whose main job was to coordinate and "multiply" others' output — are suddenly in the crosshairs.

Let's simplify:

Individual Contributors (ICs): direct output, hands-on builders.
Multipliers: managers, project leads, people who get leverage by organizing teams.

Traditionally, managers were valuable "amplifiers."

Stanford research puts their "multiplier effect" at about 1.75x for team output; University of Chicago found replacing a poor with a great manager can lift team productivity by ~25%.

But now, with AI as a tool, every IC is an amplifier.

When one person can orchestrate research, code, product — even launch — what's left for middle layers to amplify?

Maybe we've been overestimating the "irreplaceability" of management all along.

The Platform Company, the Node Individual

If you zoom out, it's easy to imagine future companies running as platforms — think Uber, but for knowledge work.

The "company" provides infrastructure and brand. Each person is, in effect, a self-sufficient "node" or mini-startup, delivering end-to-end results.

The platform company model

When everyone can be a one-person R&D-to-delivery pipeline — what's left for the hierarchy to coordinate?

Maybe the company's only true moat is brand and distribution. Everything else is up for reinvention.

My Situation: "Safe" Yet Insecure

To be clear — I haven't been laid off. Quite the opposite: I'm in a strategically valuable spot, doing AI work my company sees as the future.

But that's exactly why I feel the risk.

The old ladder still exists, but the ground beneath is shifting.

If you're standing still, it just feels safe — until the floor moves.

I can't give universal advice. These are just one engineer's observations from inside the change.

Who's Evaluating Whom?

Layoffs feel cold. They're data-driven, not loyalty-driven.

With AI, companies can more easily say, "You no longer fit."

But here's a twist: with the tools I have now, I can also ask —

Does this company still fit me?

So Why Start Now?

I'm not looking for drama, or a big leap. I just can't ignore what's in front of me.

Even a small side project is my way to test, to build agency, to act — not just react.

Maybe you're wondering too:

If tomorrow's company went fully flat, how ready would you be?

Building futures together

People as Ends — Not Means

Let's be clear: my side project isn't this blog (though blogging is a byproduct of building).

It's not about quitting, or a grand plan. It's just a way to diversify — eggs, baskets, all that.

Writing along the way helps me process what I'm learning, and share the thinking out loud.

Because I believe that in a world awash in AI, what sets us apart is our voice, our curiosity, and our ability to connect.

Not everyone has to build something on the side. But everyone deserves a path that isn't completely dictated by structures beyond their control.

I believe this:

If we keep putting people at the center — if we use productivity gains to create more meaning, creativity, and time for what matters — then AI is worth welcoming.

The goal isn't to work more, but to live better: to have time for creative work, for family, for friends, for being fully human.

And maybe, to build futures — together — that don't look like any wave we've seen before.