AI Isn’t Coming for the Cheapest Jobs First. It’s Coming for the Most Structured Ones.
The first wave didn’t go the way the headlines predicted
If AI simply displaced the lowest-cost roles first, we’d expect the economics to be obvious. Instead, an MIT analysis put the share of roles where automation is actually economically viable at roughly 23% — meaning humans remain the cheaper option in more than three-quarters of them. The capability exists in far more places than the cost case does.
The reversals tell the same story. Klarna cut roughly 700 customer-service roles on the expectation that AI would absorb the work, then moved to rehire when service quality slipped and customers noticed. Amazon’s “Just Walk Out” shopping technology, widely described as AI doing the work, leaned heavily on remote human reviewers behind the scenes. And Forrester now projects that about half of AI-attributed layoffs will be quietly reversed — often refilled at lower cost rather than admitted as a miss.
Why Operations Is the One Role AI Can't Replace — and Why Founders Keep Trying
There's an assumption baked into a lot of early-stage thinking right now: that the operations function — the people who keep the company running — is the next obvious target for AI replacement. Founders are looking at their org chart, seeing the cost of an experienced operator, and quietly wondering if they can skip the hire and let AI cover it.
I understand the temptation. The tooling is impressive. The economics look good on paper. And there's no shortage of voices on LinkedIn telling founders that "ops is the first to go."
It isn't. And the companies finding that out the hard way are already starting to reverse course.
This is the piece I want every founder scaling past early stage to read before they make a workforce decision they'll spend a year unwinding.