Something deeply wrong is happening in tech right now, and it's got nothing to do with efficiency gains or necessary restructuring. Companies are posting record profits and revenue while simultaneously laying off tens of thousands of workers — and using AI as the official explanation for why. So far this year, there have been an estimated 363 corporate layoffs at tech companies affecting nearly 150,000 people, a pace of about 974 workers per day — 44% faster than last year's already brutal clip, according to TrueUp's widely cited tracker. Tech layoffs hit their highest single month in two years just last month with nearly 40,000 cuts, and AI was the most-cited reason for those reductions across every industry for the third consecutive month, according to outplacement firm Challenger, Grey & Christmas.

The AI Excuse Is Getting Old

But here's where it gets interesting: nobody's buying it. Or at least, a growing chorus of insiders and observers are starting to call BS on the official narrative. Few examples illustrate this better than what went down at Block earlier this year. After getting hammered for laying off nearly half the company, Jack Dorsey insisted that AI tools "are enabling a new way of working which fundamentally changes what it means to build and run a company." But when commenters on X pressed him about the pandemic-era bloat he'd created, Dorsey had to fess up — Block had simply over-hired. That's the real story behind many of these cuts: deliberate headcount inflation followed by convenient AI theater. Famed VC Marc Andreessen went even further in a recent conversation with podcaster-investor Harry Stebbings, calling AI the "silver bullet excuse" for layoffs that are really about pandemic-era overhiring. His take was refreshingly blunt: "Essentially, every large company is overstaffed," he said. "It's at least overstaffed by 25%. I think most large companies are overstaffed by 50%. I think a lot of them are overstaffed by 75%. Now they all have the silver bullet excuse: Ah, it's AI." That's not exactly a ringing endorsement of the industry's stated rationale.

The Uber Contradiction in Miniature

What happened earlier this month at Uber captures this ambiguity perfectly. The company cut about 23% of its people division — that's HR and recruiting, for those keeping score — affecting less than 1% of its 34,000 employees. A company spokesperson was quick to specify that the cuts had nothing to do with AI. But here's the kicker: the announcement came roughly one month after Uber's CTO admitted that the company had burned through its entire 2026 AI coding budget in just four months and had to cap individual engineers' spending on tools like Cursor and Claude Code. So whatever Uber said publicly about these being normal restructuring moves, people are connecting those dots — and they don't like what they see.

Meanwhile, Insiders Are Getting Unfathomably Rich

What makes this situation genuinely combustible is the timing. At the very moment tens of thousands of workers are getting shown the door, a small cohort of AI insiders is accumulating wealth on a scale that's hard to comprehend. Early last month, AI chipmaker Cerebras Systems closed its first day on the Nasdaq up 68% from its $185 IPO price, giving the company a market cap of roughly $67 billion — the largest US tech IPO since Snowflake's 2020 debut. By closing bell, co-founders Andrew Feldman and Sean Lie were billionaires. Then SpaceX went public Friday with a staggering $2.1 trillion market cap, turning Elon Musk into a paper trillionaire and potentially minting an estimated 4,400 millionaires and around 400 centimillionaires in the process. Anthropic and OpenAI are quickly inching toward their own public offerings at valuations of roughly $1 trillion or more each. And then there's Mark Zuckerberg. In early March, he dropped $170 million on a Miami mansion — an all-time record for any home sale in Miami-Dade County history. Two months later, Meta announced it would lay off 8,000 people, roughly 10% of its workforce. The timeline isn't subtle. It's almost aggressive in how brazen the juxtaposition is.

A Perfect Storm Nobody's Talking About

This isn't happening in a vacuum. Workers with employer-sponsored health insurance are facing premium increases of about 6% to 7% this year — more than double the rate of inflation. The cost of private health insurance has roughly doubled since 2008. Median home prices have climbed 28% since early 2020, while mortgage rates have nearly doubled. In a January 2026 New York Times/Siena poll, 65% of voters said a middle-class lifestyle is out of reach. A more recent survey found 76% of Americans now name cost of living as their top economic concern, up sharply from 58% just a year earlier. Many companies — Block, Atlassian, Cloudflare among them — have watched their stocks surge when they point to AI as the reason for cuts, so on paper this strategy makes sense. But they're playing with fire here. In 2008, a financial crisis caused by Wall Street excess ended with bailouts for the banks while millions of Americans lost jobs and homes. Three years later, that anger crystallized into Occupy Wall Street. That movement could look quaint if the current trajectory holds. This time there's no crash to point to — companies are profitable, AI itself is minting a new class of overnight fortunes, and the layoffs are happening anyway.

Key Takeaways

  • Nearly 150,000 tech workers have been laid off this year at a pace of ~974 per day, with AI cited as the official reason for the third consecutive month
  • Major investors like Marc Andreessen openly question whether AI is really driving these cuts or serving as convenient cover for pandemic-era overhiring
  • AI chipmakers and space ventures are generating trillion-dollar valuations while simultaneously enabling workforce reductions across their industries
  • The timing of executive wealth accumulation — Zuckerberg's $170M mansion purchase followed two months later by 8,000 Meta layoffs — hasn't gone unnoticed

The Bottom Line

The optics here aren't just bad — they're potentially explosive. "We're getting richer than ever off the very tech we're using to replace you" is not a message that ends well for anyone holding the other end of it. Companies might want to consider whether the stock bump from blaming AI is worth the powder keg they're building underneath their own feet.