The Storm Is Already Here

Have you ever caught yourself wondering whether the job you show up to every day is one AI will eventually do instead of you? Most of us have had that thought at some point. And most of us have set it down just as quickly — filed under "someday," not "now."

I want to make the case that it belongs in the second folder.

A hundred years of "impossible"

Picture a middle-class family in 1914, living in a small town. Technology, to them, mostly meant a radio — and only a lucky few families had one, used mainly for news and the occasional bit of music. By the mid-1940s, the first computer, ENIAC, existed: room-sized, 27 tons, built at enormous cost, and still millions of times slower than the phone in your pocket right now.

If you'd gathered a hundred people from 1914 and told them that within a lifetime, ordinary families would each carry a device more powerful than any machine on Earth — and that pressing a button on it would get food delivered to their door — they'd have laughed you out of the room. We were taught as kids that people once got mocked for saying the earth was round. We'd have mocked this too, just as confidently, just as wrongly.

Here we are. In most homes today, there are more phones than people living in them. It doesn't matter whether you're rich or poor — access to that kind of power is just... there now. And the pace of change hasn't slowed down since; if anything, it's compounding.

We're standing at the same kind of inflection point again. Suggest that every home will have a capable humanoid robot within a few decades, and the instinctive reaction is the same as it always was: impossible, too expensive, not for people like us. History doesn't have a great track record of that instinct being right.

The question we're asking wrong

When I started actually researching this — not doom-scrolling headlines, genuinely digging in — one thing became clear: most of us are asking the wrong question. We keep asking which jobs AI will replace, as if there's a safe list somewhere. Doctors, lawyers, writers, drivers, designers — everyone assumes their own category is the exception.

The research doesn't support that comfort. McKinsey Global Institute's 2023 study estimates that automation could affect roughly 375 million jobs worldwide by 2030. Not a niche sector. Across the board.

The right question was never which jobs are safe. It's when does this reach mine.

This was never just about whether AI takes our jobs. It's about something much bigger — what happens to us.

Why this isn't really about jobs

Here's the part that's easy to skip past: if AI-powered systems really do end up doing most of what we currently call work, the interesting question isn't economic anymore. It's existential. What's the purpose of a life organized around labor, once the labor isn't required from us?

I don't think that question has a tidy answer, and I'm suspicious of anyone who claims it does. But it's the actual question underneath all the headlines about layoffs and automation — and it's the one this series is built around.

This isn't a five-minute take. It's a five-part investigation, and this essay — like the video it's paired with — is just the opening frame. If it raises more questions than it answers right now, that's by design. The rest of the series is where we go looking for the answers together.