Profits are at records, layoffs are at two-year highs, and the same AI getting the blame is making a tiny cohort spectacularly rich.
Tech companies are cutting jobs at the fastest pace in years while posting record profits, and AI is the official reason given. The twist: the same technology blamed for the cuts is minting overnight fortunes for a small group of insiders. So far in 2026, roughly 150,000 tech workers have been laid off, about 974 a day.
Picture two headlines landing on the same morning. One says a major tech firm just cut thousands of staff and pointed at AI. The other says an AI founder became a billionaire before lunch. Both are true. Both keep happening. That collision is the whole story.
What Happened
The layoff numbers are stacking up fast. There have been an estimated 363 layoffs at tech companies this year, affecting nearly 150,000 people, a pace of about 974 people per day and 44% faster than last year, according to tech job board TrueUp. Last month alone delivered the highest single month of tech cuts in two years, with nearly 40,000, and AI was the most-cited reason for layoffs across every industry for the third month running, per outplacement firm Challenger, Gray & Christmas.
At the same time, the winners are winning on a scale that is genuinely hard to picture. And that gap is where the tension lives.
The Backstory
Not everyone buys the AI explanation. A lot of people think it is a convenient cover story rather than the real cause.
Exhibit A: payments company Block, which cut nearly half its workforce earlier this year. After getting hammered for it, CEO Jack Dorsey denied the move signaled trouble, framing AI tools as a fundamentally new way to build and run a company. He also admitted, when pressed online about pandemic-era bloat, that Block had in fact over-hired.
Venture capitalist Marc Andreessen put it more bluntly, calling AI the “silver bullet excuse” for layoffs that are really about pandemic overhiring. His claim: most large companies are overstaffed by at least 25%, many by 50%, and some by 75%, and now they all have a tidy reason to trim.
Uber shows how blurry the line is. The company recently cut about 23% of its people division, affecting less than 1% of its 34,000 employees, and said the move had nothing to do with AI. But it came roughly a month after Uber’s CTO revealed the company had burned through its entire 2026 AI coding budget in four months and had to cap individual engineers’ spending on tools like Cursor and Claude Code. People connected the dots anyway.
The Core Development
Here is the part that turns a normal layoff cycle into something more combustible.
AI chipmaker Cerebras Systems closed its first day on the Nasdaq up 68% from its $185 IPO price, reaching a market cap of roughly $67 billion, the largest US tech IPO since Snowflake in 2020. By the close, its two co-founders, Andrew Feldman and Sean Lie, were billionaires. The shares have since fallen 30%.
Then SpaceX went public on Friday at a $2.1 trillion market cap, turning Elon Musk into a paper trillionaire and potentially minting an estimated 4,400 millionaires and around 400 centimillionaires, assuming the stock holds. Anthropic and OpenAI are both inching toward the public market at valuations near or above $1 trillion.
Set against that, Mark Zuckerberg’s $170 million mansion purchase on Miami’s “Billionaire Bunker” in early March, a record for Miami-Dade County, lands differently. Two months later, Meta announced it would lay off 8,000 people, about 10% of its workforce.
The Business Model Angle
Strip away the noise and this is a story about value capture. The classic business model equation says a company has to create more value than it captures, and capture more than it costs to deliver. AI is currently the most powerful value-capture machine in tech, and the question every operator should be asking is who captures that value and who pays the cost.
Right now the answer is lopsided. Companies like Block, Atlassian, and Cloudflare have watched their stocks surge when they tie cuts to AI, so the incentive to use that framing is obvious. The strategy works on the markets. The pattern is simple: point at AI, signal efficiency, get rewarded by investors.
The lesson for founders is less about whether to adopt AI, which is settled, and more about the message your framing sends. “We are getting richer off the very tech we are using to replace you” is a positioning choice, even when nobody says it out loud. Reputation is a business asset, and how you capture value in public is part of your brand.
The Risk
The honest counterpoint is that the AI explanation might be mostly true, and the over-hiring crowd might be mostly right, and it would still not matter for the optics.
The closest precedent is 2008, when a financial crisis ended with bank bailouts while millions lost jobs and homes, and the anger eventually crystallized into Occupy Wall Street. This time there is no crash to point to. Companies are profitable, AI is minting overnight fortunes, and the layoffs are happening anyway. Add a brutal cost environment, with health premiums up 6% to 7% this year and median home prices up 28% since early 2020, and a January 2026 NYT/Siena poll found 65% of voters say a middle-class lifestyle is out of reach. The risk is not a single backlash event. It is a slow erosion of trust between the companies riding the AI wave and the people watching from the shore.
Quick Questions
Is AI really causing all these layoffs?
Partly. AI is the most-cited reason for the third month running, but plenty of insiders argue it is a convenient cover for pandemic-era over-hiring. The truth is probably a mix of both, depending on the company.
How many tech workers have been laid off in 2026?
Roughly 150,000 so far, across an estimated 363 layoff events, at a pace of about 974 people per day. That is 44% faster than last year.
Who is getting rich while this happens?
AI founders and early employees. Cerebras minted two billionaires on its IPO day, and SpaceX’s debut potentially created around 4,400 millionaires and 400 centimillionaires.
Why does this feel different from past layoff cycles?
Because there is no crash. Companies are profitable and AI is creating massive new fortunes at the exact moment workers are being shown the door, which makes the divide feel sharper than a normal downturn.
The Business Model Analyst Take
When your industry is simultaneously cutting record numbers of jobs and minting record numbers of fortunes off the same technology, the framing you choose is a strategic decision, not a neutral fact. Markets may reward “AI made us do it” today, but trust compounds slowly and erodes fast. Smart operators will adopt the tech aggressively and watch their narrative just as closely, because how you capture value in public eventually becomes who wants to work for you, buy from you, and root for you.
