The Bottleneck Was Never the Machine.

AI is going to take these jobs — not assist them, take them. That isn’t the apocalypse everyone braces for. It’s the oldest pattern in technology: every upgrade replaces a crowd of ordinary workers with a few of a new kind. The old roles go. Far fewer new ones take their place. I’m watching it happen inside my own company.

The execution seats

At Thunderbit, an AI runs our influencer outreach and support end to end — writing the first email, answering replies, negotiating, following up. What took a team now takes the machine plus one person making the one call it can’t: is this one worth it? The execution seats didn’t get elevated. They got absorbed. Not gone-someday. Gone. And this isn’t the first time a wave like this has emptied a room — the last one took U.S. travel agents down about 60% from their peak. The desks don’t get upgraded. They empty.

Every upgrade needs fewer people

This has happened before, always the same way — and it isn’t only fewer people, it’s a higher bar. A century ago about 40% of Americans worked the land; today it’s under 2%, and they grow more food than ever. Retail is running the same play: it used to run on armies of clerks with a high-school education, and then e-commerce — really just internet plus retail — let Amazon serve a bigger market with a fraction of the people, most of them college-educated engineers. The market grew and logistics got cheaper, yet the headcount shrank while the credential climbed — the college wage premium roughly doubled, from 39% to 79%, as computers spread. AI is the next rung — the bar higher, the headcount smaller. Each upgrade: more value, fewer people, a steeper credential. The pyramid narrows.

Who climbs the narrower rung

So who gets to stand on the new, smaller rung? The ones who kept the judgment and learned to direct the machine. I bought every employee a microphone and put us all on our own voice tools, because the skill now is telling an agent — precisely, out loud — exactly what you want. When I hire, I’ll take a business person only if they’re hungry to build, and an engineer only if they care about the business. The pure specialist doesn’t come along — and pretending otherwise saves none of the old roles.

The only variable is time

None of this is overnight; it runs on human time, not compute time — five to ten years, my honest guess. The machine is ready; we aren’t. Even the people using these tools misjudge them: in one controlled trial, experienced developers working with AI felt about 20% faster and were measured 19% slower. The capability is here; the human adjustment isn’t. But only the speed is in question, not the direction. The traditional roles are going; the new ones will be fewer, and higher up. The bottleneck was never whether the machine could do the work — it can, today, in my company. It’s how fast the people move. So the question isn’t whether AI takes the jobs. It does. It’s whether you’ll be standing on the rung that’s left.