88,000 layoffs later, here’s why I’m still not panicking about AI

Published July 10, 2026 10:00am ET



The Bureau of Labor Statistics dropped a grim number July 3: only 57,000 jobs added in June, barely a third of the 185,000 economists expected. Cable news blamed artificial intelligence before the ink dried. RAISE, the outfit that tracks AI-related layoffs, pegs 88,000 U.S. job cuts this year directly on AI, the highest tally on record. Somewhere, a Terminator poster just got a fresh thumbtack. My thesis, plainly: AI is progress, not revolution. We’ve run this movie before, and the ending doesn’t change because the special effects got better.

I review deals for a living. Every private equity, venture, and credit pitch that has landed on my desk the past two years has AI somewhere in the business plan. Some of it is real. Most of it is a slide deck dressed up to justify a richer valuation. Thirty years of underwriting risk teaches you to separate genuine disruption from a sales pitch with better branding, and most of what passes for the “AI revolution” belongs in the second bucket.

Rewind to the actual Industrial Revolution. The steam engine, the spinning jenny, the power loom, the cotton gin, and the Bessemer process didn’t nudge the economy, they detonated it. Farriers gave way to auto mechanics. Icemen gave way to refrigerators. Typewriters gave way to word processors; fax machines gave way to email. Every one of those transitions produced a chorus of doom, and every one left Americans living longer, working less brutal jobs, and enjoying comforts our great-grandparents would’ve called witchcraft. Indoor plumbing alone should end the argument.

AI has run quietly in the background for years and nobody panicked. Spellcheck in Microsoft Word is AI. Siri is AI. Your bank’s fraud alert is AI. It didn’t arrive in 2022 wearing a red cape; it’s been doing unglamorous, useful work in plain sight for a decade.

None of this means the disruption is painless. PwC’s 2026 Global AI Jobs Barometer, drawn from more than a billion job postings worldwide, found jobs demanding AI skills growing nearly eight times faster than the overall job market, with a 62% wage premium attached. That divide is opening fastest at the entry level, where AI-exposed junior roles increasingly demand judgment and leadership once reserved for people a decade further along. Tech layoffs have hit 142,000 this year as companies redirect payroll dollars into computing. Somebody’s cousin really did lose a job to a chatbot, and I’m not going to tell him to cheer up.

Thomas Sowell spent a career reminding us there are no solutions, only trade-offs, and this is a trade-off. But even the AI executives who spent the last two years predicting mass white-collar extinction are walking it back; the current read from Anthropic, OpenAI, and the venture crowd leans toward augmentation over replacement. Milton Friedman made the same point about every leap before this one: the jobs destroyed are visible, the jobs created are not, yet history keeps proving the second category larger.

Remember how “learn to code” became an insult. Former President Barack Obama pushed Computer Science for All years before that phrase turned into a punchline, and Biden told coal miners in 2019 they could learn to program. Obama’s real target, in that Elkhart, Indiana, town hall, was the idea that a president could wave a wand and restore an exact set of 1985 manufacturing jobs. He was right that those jobs weren’t coming back, wrong about what replaced them: professional and business services, education and healthcare, and leisure and hospitality did the rehiring, not coding boot camps. Almost nobody predicted physical therapists and HVAC technicians would out-hire the coders. That’s the lesson for AI: the replacement jobs never look like what the futurists sketch on a whiteboard.

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So, what do you do if your job is on the list? What my father’s generation did when the assembly line came for the blacksmith: adapt, retrain, and refuse to be the last man standing next to the horse when everyone else bought a car. Community colleges teaching practical AI literacy will do more for displaced workers than any task force in Washington.

Wayne Gretzky built a Hall of Fame career skating to where the puck was going, not where it had been. AI isn’t the asteroid that ends the U.S. worker. It’s the next machine in a 200-year line Americans have out-adapted every time, usually while complaining loudly the entire way. Meanwhile, Sam Altman is trying to hand Washington a piece of OpenAI to buy political cover, which tells you even Silicon Valley knows the hype has outrun the substance. Panic is optional. Adaptation isn’t.

Jay Rogers is a financial professional with more than 30 years of experience in private equity, private credit, hedge funds, and wealth management. He has a BS from Northeastern University and has completed postgraduate studies at UCLA, UPENN, and Harvard. He writes about issues in finance, constitutional law, national security, human nature, and public policy.