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Something peculiar is unfolding in the technology sector. Companies are simultaneously reporting record-breaking profits and revenues while laying off tens of thousands of employees, with artificial intelligence being the official justification. According to TrueUp, a tech job board and recruiting platform that maintains one of the most referenced layoff trackers, there have been an estimated 363 layoff events at tech firms this year, impacting nearly 150,000 people. That breaks down to roughly 974 people per day, a pace 44% faster than the previous year. Last month alone, tech layoffs reached their highest single-month total in two years, with nearly 40,000 job cuts. For the third consecutive month, AI was the most frequently cited reason for layoffs across all industries, according to outplacement firm Challenger, Grey & Christmas. However, a growing wave of skepticism suggests that AI might be more of a convenient cover story than the real cause. Few examples illustrate this pushback better than what happened at Block earlier this year.

After Block laid off nearly half its workforce, citing AI as the reason, CEO Jack Dorsey faced intense criticism. He denied that the cuts signaled trouble at the payments company, insisting that AI tools "are enabling a new way of working which fundamentally changes what it means to build and run a company." However, when pressed by commenters on X about the bloat he had created during the pandemic, Dorsey acknowledged that Block had indeed over-hired. Other influential voices have also chimed in, including famed venture capitalist Marc Andreessen, who recently called AI the "silver bullet excuse" for layoffs that are really about pandemic-era overstaffing. In a conversation with podcaster-investor Harry Stebbings, Andreessen stated, "Essentially, every large company is overstaffed. 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."

What happened earlier this month at Uber captures this ambiguity well. The company cut about 23% of its people division—the unit handling HR and recruiting—affecting less than 1% of its 34,000 employees. A company spokesperson specifically stated that the cuts had nothing to do with AI. Yet the announcement came roughly one month after Uber's CTO revealed 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. Whatever Uber said publicly, it's hard not to connect those dots. What makes this situation so combustible is that at the very moment tens of thousands of workers are being shown the door, a small cohort of AI insiders is becoming wealthy 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 chipmaker a market cap of roughly $67 billion—the largest US tech IPO since Snowflake's 2020 debut. By the close, co-founders Andrew Feldman and Sean Lie had become billionaires. (The company's shares have since fallen 30%.)

SpaceX, meanwhile, went public on Friday and, as of this writing, enjoys a $2.1 trillion market cap. This turned Musk into a paper trillionaire and potentially minted an estimated 4,400 millionaires and around 400 centimillionaires in the process, assuming the shares hold up. Anthropic and OpenAI are also quickly inching toward the public market, both at valuations of roughly $1 trillion or more. Set against that backdrop, Mark Zuckerberg's latest purchase takes on new meaning. In early March, he bought a $170 million mansion on Miami's "Billionaire Bunker," setting the all-time record for the most expensive home sale in Miami-Dade County history. Two months later, Meta announced it would lay off 8,000 people, or roughly 10% of its workforce. It isn't just Zuckerberg or other tech titans who routinely shell out jaw-dropping sums on their real estate portfolios. But these extremes come at a moment when many Americans are getting squeezed harder than they have been in years. Workers with employer-sponsored health insurance face 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, and 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 May 2026 CNN/SSRS poll found that 76% of Americans now name cost of living as their top economic concern, up sharply from 58% a year earlier.

Taken together, this isn't just a story about job losses in isolation. It's about tens of thousands of laid-off tech workers hitting an unusually unforgiving cost environment at the same time that tens of thousands of AI insiders are seeing once-in-a-generation paper wealth materialize. It isn't hard to find a precedent for what happens when that divide gets wide enough. In 2008, a financial crisis that began with loose lending and over-the-top risk-taking on Wall Street ended with bailouts for the banks that caused it, while millions of Americans lost jobs and homes in the Great Recession that followed. Three years later, that anger crystallized into Occupy Wall Street. That could look quaint in comparison. Occupy Wall Street emerged from a crisis—banks needed rescuing, and the public anger was, at its core, about who paid for the cleanup. 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, with AI cited as the reason. If the optics of 2008 were, "We're bailing out the people who broke the economy while you lose your job," the optics here could end up being, "We're getting richer than ever, off the very tech we're using to replace you."

As we've seen with Block, Atlassian, Cloudflare, and others, tech companies have watched their stocks surge when they point to AI, so the strategy is understandable. Still, they might want to consider whether that's really the message they want to send to the people they're laying off, and to everyone else now watching.