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The Robots Aren’t Coming For Your Job—They’re Coming For Your Career

Generative AI is being sold as a friendly “copilot,” but it’s really a guillotine for the next generation of talent.

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Editorial illustration for: The Robots Aren’t Coming For Your Job—They’re Coming For Your Career
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Remember your first real job? Not the paper route or the summer gig scooping ice cream. I mean the first rung on your career ladder. The one where you were handed a pile of work that was simultaneously boring and terrifying.

Maybe you were a junior paralegal tasked with summarizing a mountain of discovery documents. Maybe you were a fledgling graphic designer told to create 50 slightly different banner ads for a client who couldn’t make up their mind. Or maybe you were a junior programmer, handed a pile of legacy code and told to write a few simple unit tests.

The work sucked. It was tedious. It was grunt work.

And it was the most important work you ever did.

That’s the part of the story everyone in Silicon Valley seems to have forgotten. They’re all tripping over themselves to sell us on the magic of "generative AI." They call it a “copilot,” a helpful assistant that will free us from drudgery. What a beautiful, sterile, and deeply dishonest way to put it.

A more accurate term? A replacement.

Specifically, a replacement for the person doing that boring, terrifying, essential entry-level job.

The Great De-Skilling

Think about it. The promise of large language models from Google, OpenAI, and the rest of the tech giants is that they can instantly summarize those legal documents, generate those 50 banner ads in a blink, and write that boilerplate code. And they can. I’m not debating the capability. I’m staring in horror at the consequence.

We’ve decided, in the name of relentless efficiency, to automate the act of learning.

We don’t become senior engineers by reading a book about senior engineering. We become senior engineers by spending years as junior engineers, fixing bugs, asking stupid questions, breaking the build, and slowly, painstakingly, building a mental model of how complex systems work. We become great designers by making hundreds of ugly, awful designs first. We learn what good writing is by producing reams of bad writing and having a patient editor bleed all over it.

The entry-level job isn’t just a source of cheap labor to be optimized away; it’s the training ground where competence is forged. It’s the bootcamp for skill. By removing it, we aren’t just cutting costs—we’re cutting off the supply line of future experts.

Where does the seasoned, brilliant art director of 2040 come from, if the junior designer of 2025 is an algorithm? Where does the law firm partner who can smell a bad argument a mile away get her instincts, if she never spent her early years buried in the details of a case?

They don’t. They won’t exist. We’re creating a permanent “mushy middle” of talent—people who are great at prompting an AI but have no foundational skills of their own. They can tell the machine what to do, but they have no idea how to do it themselves. They are conductors of an orchestra they can

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