45,000 tech workers lost jobs in March — is AI the real reason?
Tech companies cut 45,000 jobs in March 2026, blaming AI. But researchers say many are using 'AI-washing' to disguise pandemic overhiring corrections. Here's what the data actually shows.
45,363 tech workers lost their jobs in March 2026. Companies blamed AI for 20% of those cuts — more than double the rate from last year. But a growing chorus of researchers, analysts, and former employees say something else is going on: companies are using AI as a convenient excuse.
The term for it? "AI-washing" — dressing up ordinary cost-cutting as a bold AI strategy. And it's becoming the defining labor story of 2026.
The biggest AI-labeled layoff in history
In early March, Block (the company behind Square and Cash App) fired 4,000 employees — 40% of its entire workforce. CEO Jack Dorsey wrote in a company-wide memo: "This is not driven by financial difficulty, but by the growing capability of AI tools to perform a wider range of tasks."
The stock jumped 24% the same day.
But here's the part Dorsey didn't emphasize: Block's headcount tripled during the pandemic, growing from 3,800 in 2019 to over 10,000 by 2025. A Darden Business School analysis asked the obvious question: "Is AI the strategy — or the scapegoat?"
Atlassian's CEO contradicted himself in 5 months
Days later, Atlassian (makers of Jira and Confluence) cut 1,600 jobs — 10% of its workforce. CEO Mike Cannon-Brookes cited "the AI shift" as the reason.
The problem? In October 2025 — just five months earlier — Cannon-Brookes publicly stated on a podcast that Atlassian would employ more engineers in five years, not fewer. He even pledged more new graduate hires for 2025 and 2026.
Then the March layoffs cut 900 roles from those exact R&D departments he promised to grow.
What the research actually says
A Harvard Business Review survey of 1,006 global executives found a striking disconnect:
60% of companies already made layoffs in anticipation of what AI might do
Only 2% made large cuts based on actual AI results
44% of executives said AI was the hardest technology to assess for economic value
In other words: companies are firing people based on what they think AI will do — not what it's actually doing today.
The real reasons behind the numbers
Professor Uri Gal from the University of Sydney identified three forces that explain most of these cuts better than AI does:
1. Pandemic overhiring correction — Companies hired aggressively when online demand surged in 2020-2022. Now they're correcting course.
2. Investor signaling — AI-related stocks account for roughly 75% of S&P 500 returns since ChatGPT launched. Framing layoffs as "AI strategy" boosts stock price instantly.
3. Funding future AI — Meta's planned 20% cuts coincide with $600 billion in data center investments. Workers aren't being replaced by AI — they're being cut to fund AI.
Who's actually at risk — and who's not
The data paints a more nuanced picture than "AI is taking all jobs":
Goldman Sachs estimates only 2.5% of US employment would be at risk if AI were deployed for every possible application — far less than the panic suggests.
Young workers (ages 22-25) entering AI-exposed fields have seen job-finding rates drop 14% since ChatGPT launched. That's real — but it's a hiring slowdown, not mass replacement.
Meanwhile, workers with AI skills command a 56% wage premium. Compensation in AI-exposed industries is rising twice as fast as in unaffected sectors.
The Klarna warning
Companies that cut too aggressively in the name of AI are already paying for it. Klarna, the Swedish fintech, reduced its workforce by 40% between 2022 and 2024 while trumpeting AI efficiency. Then the CEO admitted that "prioritizing lower costs had also led to lower quality" — and the company quietly rehired customer service staff in 2025.
The bottom line
AI is changing work — that's real. But the 2026 layoff wave is primarily a story about pandemic corrections, investor pressure, and strategic positioning dressed up in AI language.
If the total reaches the projected 264,000 tech layoffs by December 2026, it will surpass 2025's total. But researchers are clear: most of those jobs aren't being done by AI. They're just being cut.
What to watch for: If a company announces AI-driven layoffs and its stock jumps the same day, ask yourself: is this about technology — or about the stock price?
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