The 'Because of AI' in Layoff Memos Is Laundering an Old Decision

Tech is shedding people at a startling pace in 2026. Add up the public layoff trackers and the year is running at well over a thousand cuts every working day, roughly double last year. What is new is how openly companies name the reason. It is AI. Behind names like Meta, Oracle, and Block sits the same line: we are restructuring for the AI era.

It sounds like a story about progress. One number tears a hole in it.

In May, the research firm Gartner (a company that studies technology adoption for large enterprises) surveyed 350 executives at companies with at least a billion dollars in revenue. Among those who had piloted AI, 80% reported workforce reductions. Your first instinct is probably, "See, AI is replacing people." The next finding in the same study is the one that matters. Those cuts had no relationship to whether the company earned more. The firms that cut the hardest saw no better financial returns.

So a lot of companies are cutting people and crediting AI, while AI has not actually taken over the work. Gartner analyst Helen Poitevin put it plainly: "Chasing value only through headcount reduction is likely to lead most organizations down a path of limited returns."

Where is the value, then? The same research found it in the companies that used AI to amplify people. They gave their existing staff AI tools so one person could do the work of two or three. The gains came from making the people who stayed more capable. Swapping people out for machines produced no comparable lift.

I have spent a few years building AI agents (programs that read data, call tools, and carry out tasks on their own), and this rings true at ground level. Today's AI can absorb a large slice of repetitive work. What it cannot absorb is judgment, accountability, and knowing who to call when something breaks. Pair a skilled worker with AI and their output can double. Lay that worker off and hand the AI to a seat no one is sitting in, and all you have is less capacity plus a polished press release.

That is why the phrase "because of AI" is doing two jobs in many layoff announcements. One job is real: some processes genuinely got automated. The other is public relations. It wraps a decision the company already wanted to make in a reason that sounds respectable, even forward-looking. A soft economy, two years of over-hiring, an ugly quarter, none of those are flattering to say out loud. "We are embracing AI" can lift the stock instead. AI has become a laundromat that washes an unflattering layoff into a story about the future.

If you are an investor, an owner, or anyone sizing up whether a company is worth working with, here is a practical test. The next time you read "we cut X% thanks to AI," skip the awe and ask a dumber question first: where is the productivity number?

The logic is simple. If AI truly took over the work, the people who remain should each generate more revenue. Revenue per employee should climb. If a company only shows you that costs fell, with no evidence that output rose, what it likely did was ordinary cost-cutting dressed in an AI costume.

Picture a restaurant that fires half its cooks and announces it bought a faster oven. The oven is great. It lets the cooks who stayed work faster. The oven still cannot cook on its own. A restaurant that uses AI well sends out more food, more consistently. A restaurant just trimming labor will show it soon enough, in slower tickets and thinner plates.

Gartner offered one prediction worth keeping. By 2027, half of the organizations that planned deep AI-driven cuts to their service teams will abandon those plans because the targets were never met. That means a good share of today's AI-branded layoffs will quietly hire some of those people back within a year or two.

The most honest answer is not in the announcement. It is in the next earnings report. Same revenue or more, with fewer people, is real skill. Revenue shrinking alongside the headcount means the faster oven was only ever a line. Watch how a company uses AI, whether it amplifies its people or simply subtracts them, and you can usually guess how far it will get over the next few years.