AI Won’t Take Your Job. It Can’t Even Find an Electrician
(SeaPRwire) –
By: Lucas Caldwell
The AI-ocalypse crowd is selling a story that doesn’t survive contact with a spreadsheet. Millions of people are losing sleep over automation eating their livelihoods. Meanwhile, the actual constraint on AI deployment isn’t compute power or capital. It’s electricians. More than 11,000 Americans turn 65 every single day. Birth rates are falling across the developed world. Healthcare is the fastest-growing sector in the country, and the aging that drives it isn’t reversible. The work growing fastest is work done with people and with things — the kind AI is furthest from touching. The panic is backwards. We don’t have too many workers. We have dangerously few.
Pat Gelsinger’s Intel fabs ran safety technicians through chemical leak inspections — jobs that could literally kill you. Most gases coming out of those pipes could kill you. Robot dogs took over. The technicians became fleet managers. Safer work. Better pay. The dogs checked pipes far more often than humans could, making the entire fab safer for everyone. Naveen Rao’s company designed a chip in six months with no dedicated team. That wasn’t fewer engineers. That was more experiments per dollar. His company’s growth is now hindered by its inability to hire people fast enough. Not fewer engineers. More things to try.
The AI buildout itself is short roughly 350,000 construction workers this year. Electrician wages are rising two to four times faster than wages overall. An underreported constraint on data center expansion isn’t chips or capital — it’s people who can wire a building. Japan hit the labor wall decades ago and turned to automation. It now has one of the highest concentrations of industrial robots in the world, keeping its factories and hospitals staffed. Two of the fastest-growing job categories right now are construction and healthcare. Ninety-one call centers are short-staffed almost everywhere. A company using AI to transcribe and translate 911 calls means an English-only dispatcher can handle any language. These aren’t edge cases. They’re the baseline.
Every tech revolution compressed into a few years has caused worse disruption than ones spread over decades. The Industrial Revolution took generations to absorb. This one is happening in quarters. People are panicked about jobs being replaced by machines, just like the men who destroyed factories and launched the Luddite movement. But the math hasn’t changed. Every technology disruption over history has created more jobs than it destroys. Japan turned to automation because it had no choice. America’s turn is here. Labor shortages that used to be cyclical are looking permanent. The question is whether the workforce adapts fast enough to the speed of this compression.
Gelsinger grew up on a farm in Robesonia, Pennsylvania. His dad’s family — all the uncles around the reunion table — came home missing fingers, arms, legs. One lost both legs to a mower. Another lost an arm in a combine. A third had permanently dislocated ribs from a cow in labor. Romance obscures the grind. Rao’s company teaches engineers to build their own startups. He’s written ten investment checks so far. Anyone can learn to vibe code in a weekend. Free. No unattainable capital needed. The limit on building anything hard was always how many attempts you could afford. AI slashes that limit. Demand for things that don’t exist yet follows. More entrepreneurs than we can imagine.
The next decade’s job titles will sound alien to today’s workforce, and the companies hiring for them don’t exist yet — but the real question isn’t whether there will be work, it’s whether Americans waste the next ten years holding on to a romanticized past instead of building the more interesting world their grandchildren are walking into, because this is the first technology revolution that lets anyone become a builder without unattainable capital, specialized credentials, or a gatekeeper saying you can’t.
Author bio: Lucas Caldwell, a tech opinion leader with millions of followers on X/Twitter, known for contrarian takes on Silicon Valley’s biggest claims and blind spots.