I was on a call last week with a senior leader at a Fortune 500 company. She had just survived her third round of layoffs in eighteen months. She was not sad. She was not angry. She was confused.
“Dr. Rozen,” she said, “I genuinely cannot tell if my job is disappearing because of AI, or if that is just what they are telling us.”
I hear some version of that question everywhere I go right now – from executives, from mid-level managers, from early-career professionals just trying to figure out if they chose the right field. The uncertainty is real, and it is exhausting.
So let me share what I actually see when I look at the data, and what I think it means for you.
What Is Happening With Tech Layoffs in 2026?
The numbers are striking. Nearly 82,000 tech employees lost their jobs in Q1 2026 alone, up from roughly 30,000 in Q1 2025, according to the tracking site Layoffs.fyi. Meta, Microsoft, Amazon, Oracle, and Block have all announced major workforce reductions. And in almost every press release, the word “AI” appears front and center.
But here is what I keep telling the leaders and teams I work with: the headline is not the whole story.
Is AI Actually Replacing Tech Workers Right Now?
Based on the data, no – not at the scale the headlines suggest. According to Challenger, Gray and Christmas, AI has been cited as a factor in roughly 27,600 job cuts so far in 2026, about 13% of all planned cuts. That number has grown from 5% in 2025, so the trend is real. But AI still ranks only fifth among all cited reasons for job cuts this year, behind market conditions, restructuring, and closures. Oxford Economics reviewed the available evidence and found that signs of widespread AI-driven job replacement remain thin.
When I look at those numbers through a behavioral science lens, I see something important: the story workers are being told about why they lost their jobs does not fully match what the data shows.
What Is AI-Washing, and Why Does It Matter for Workers?
AI-washing is when companies attribute layoffs to artificial intelligence when the real causes are something else entirely – pandemic-era overhiring, rising interest rates, or the decision to redirect budgets toward AI infrastructure. Venture capitalist Marc Andreessen described it bluntly, noting that the pandemic-era hiring binge left essentially every large company overstaffed. Rather than acknowledge those mistakes, many companies are repackaging the correction as a bold AI transformation story for their shareholders.
I study how people respond to organizational change for a living. One of the most damaging things that can happen to a worker is absorbing a false narrative about why they were let go. It shapes how they see themselves, how long recovery takes, and what choices they make next. This is why I think the AI-washing phenomenon matters far beyond the boardroom.
Why Are Tech Companies Really Laying Off Workers in 2026?
The primary driver is a reallocation of capital, not robots taking over. Major tech companies are pouring hundreds of billions of dollars into AI infrastructure, including data centers and new AI tools. Andy Challenger of Challenger, Gray and Christmas put it plainly: companies are shifting budgets toward AI investments at the expense of jobs. Workers are being displaced by investment decisions, not by machines doing their work.
That is a meaningful distinction. It changes how you should interpret what happened, and it changes what you should do next.
Is the Current Wave of Tech Layoffs Cyclical or Structural?
In my assessment, this looks more cyclical than structural. The evidence points to pandemic-era overhiring corrections and capital reallocation, not a permanent shift in the value of human work. Cyclical downturns recover. That means resilience is the right strategy right now – not panic, and not wholesale reinvention of who you are professionally.
What Should Workers and Leaders Do Right Now?
This is the question I get most often from the organizations I work with, and my answer is built on three evidence-based principles.
First, separate the narrative from the facts. A layoff driven by a company’s budget reallocation or its own hiring mistakes is not a verdict on your individual value. Do not let someone else’s organizational decision define your professional story.
Second, distinguish cyclical from structural change. I work with leaders on this distinction constantly, because the response to each is completely different. If the evidence suggests AI is primarily shifting budgets rather than replacing roles at scale, the near-term job market will stabilize. Plan for recovery, not obsolescence.
Third, build genuine AI literacy now. BCG projects that AI will reshape more jobs than it replaces in the years ahead. The professionals I see thriving are not the ones who fear the technology from a distance. They are the ones who get curious, get informed, and position themselves to lead through the transition.
The Bottom Line on AI and Job Security in 2026
The companies cutting workers right now made decisions: to overhire, to overspend, and to chase a pandemic-era moment that has since passed. Those are organizational choices. They are not a reflection of what your expertise, your experience, or your human judgment is worth.
The professionals who navigate this well will respond with clarity instead of fear, and with strategy instead of panic. That is what navigating change actually looks like.
