Almost 40,000 tech workers lost their jobs last month. That is the highest single month in two years. And for the third month running, the most-cited reason across every industry was the same two letters: AI.
I want to push on that explanation, because I think a lot of it is a story companies tell to make a hard decision sound like an inevitable one.
The Math Does Not Quite Add Up
Here is what bothers me. The same month tens of thousands of people were told a machine could do their work, the people at the top of these companies got dramatically richer in ways that had nothing to do with productivity.
Meta cut roughly 8,000 jobs, about 10 percent of its workforce. Two months earlier, its CEO bought a 170 million dollar house in Miami. The Cerebras IPO minted two new billionaires in a single day, with the stock up 68 percent on debut at a 67 billion dollar valuation. SpaceX going public created an estimated 4,400 millionaires and around 400 people worth nine figures.
So the story is that AI made labor too expensive to keep, in the same economy that is producing fortunes at a rate we have not seen in years. Both things are happening at once. When you see record layoffs and record wealth creation in the same week, "the AI made us do it" starts to sound less like an analysis and more like a press release.
Even Marc Andreessen, who is about as pro-AI as a person can be, called AI the "silver bullet excuse" for cuts that are really about pandemic-era overhiring. When the loudest believer tells you the reason is partly a cover story, it is worth listening.
Why the Excuse Is So Convenient
"We are restructuring" invites questions about management. "We over-hired and got it wrong" invites questions about judgment. "AI can now do this" invites neither. It reframes a choice as a force of nature, something happening to the company rather than something decided by it. Nobody has to apologize to a trend.
It is convenient in a second way. It doubles as a product pitch. Every time a large company says AI let it cut headcount, it is also advertising that its AI works, that the future arrived, that you should be a little afraid and a lot interested. The layoff becomes marketing. The people let go become a proof point in someone's deck.
And it is contagious. Once a few flagship companies blame AI and the market rewards them with a higher stock price for looking disciplined, every other executive gets the same incentive. The explanation spreads not because it is true in each case, but because it is rewarded. That is how a convenient story becomes the consensus reason for a whole year of cuts.
I am not arguing AI changes nothing about work. It changes plenty. I have written that agents will not replace whole jobs yet, and that the honest version of this shift is usually a skills swap, not a clean substitution. But there is a wide gap between "AI is reshaping how work gets done" and "AI is why 40,000 people are gone this month." The first is true. The second is mostly accounting dressed as destiny.
What This Means for Operators and Everyone Else
If you run a company, be careful what you blame on AI, because people remember. A January poll found 65 percent of people believe a middle-class life is now out of reach, and 76 percent name cost of living as their top concern, up sharply from 58 percent a year before. That is the room you are talking to. Telling it that a machine took the jobs while your insiders cash out is a story with a short shelf life and a long memory.
The honest move is to say what is actually happening. We over-hired. The market shifted. We are betting on a different structure. That is harder to say and far more durable, because the moment your AI does not deliver the savings you promised, the excuse curdles into a credibility problem you created on purpose.
The reputational bill is real and it compounds. The talent you will want back when the cycle turns remembers how you described their exit. Calling people redundant to a robot, while the leadership team posts record personal gains, is the kind of thing that follows a brand into every future recruiting conversation.
And if you are one of the 40,000, here is the cold read that might help. A lot of these decisions were made before AI was the headline, and AI is the label stapled on after. That does not give you the job back. It does tell you the demand for people who can actually make these systems work, and prove they work, has never been higher. The companies cutting loudest are often the ones who need that skill most and have the least of it.
AI is real. The disruption is real. But "the robot did it" is the most comfortable lie in business right now, and comfort is exactly when you should check the math. Follow the money out the door, then follow the money into the driveway. They are not the same people, and the gap between them is the actual story.