Meta is preparing to cut 16,000 jobs. Block already eliminated 4,000. Atlassian dropped 1,600. The stated reason in each case: artificial intelligence.
Tech layoffs in 2026 have now reached 45,000 workers across 168 companies, with over 9,200 positions explicitly linked to AI and automation. If this pace continues, the year could see 265,000 total tech layoffs, surpassing 2025’s 245,000.
But here’s the uncomfortable question: Is AI actually replacing these workers, or are companies using it as convenient cover for cuts they’d make anyway?
The March Surge
The Meta announcement broke over the weekend. The company is reportedly planning to cut up to 20% of its nearly 79,000-person workforce to offset AI infrastructure spending projected to hit $135 billion this year - nearly double 2025’s $72 billion. Meta’s stock rose 3% on the news.
Block CEO Jack Dorsey set the template in late February, cutting the company nearly in half - from 10,000 employees to under 6,000. “Intelligence tools have changed what it means to build and run a company,” Dorsey wrote. He predicted most companies would reach the same conclusion within a year.
Atlassian followed on March 11, announcing 1,600 layoffs - 10% of its workforce. CEO Mike Cannon-Brookes wrote that “it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas.”
Amazon’s Andy Jassy has signaled similar moves, stating the company expects to “need fewer people doing some of the jobs that are being done today” as it invests in AI agents. Salesforce’s Marc Benioff claimed AI was already doing 50% of support work before cutting 4,000 customer service positions.
The AI Washing Debate
Not everyone buys the AI explanation.
OpenAI CEO Sam Altman himself acknowledged that some companies are “AI washing” - falsely attributing layoffs to AI when the real drivers are traditional cost pressures. “There’s some AI washing where people are blaming AI for layoffs that they would otherwise do,” Altman said in February.
The skepticism has data behind it. Harvard Business Review research found companies are cutting jobs based on what AI might be able to do in the future, not what it can demonstrably do now. That’s a crucial distinction: firms are betting on productivity gains that haven’t materialized.
Block provides a telling example. The company tripled its headcount between 2019 and 2022, growing from 3,835 to 12,430 workers. Its stock had fallen 40% since early 2025. Was AI really the driver, or was Dorsey unwinding pandemic-era overhiring while the AI narrative gave cover?
Markets don’t seem to care about the distinction. Block’s stock jumped 18% on the layoff news. Meta rose 3%. Investors are rewarding the cuts regardless of their actual cause.
Who Gets Hurt
The human cost is distributed unevenly.
Research from Brookings and the Centre for the Governance of AI found that women make up 86% of workers most vulnerable to AI displacement. The most exposed roles - secretaries, administrative assistants, payroll clerks, data entry specialists - rely on routine tasks that AI handles well and have historically been female-dominated.
More than 6 million workers would likely struggle to recover from AI-driven job loss due to limited savings, age, and constrained skill transferability. Entry-level positions have been hit hardest, with job postings for early-career roles down 15% year over year.
The Washington Post’s analysis shows the skills most overlapping with AI capabilities: computer programming, marketing, financial analysis, and customer service. Entry-level coders, call center workers, and technical writers face the highest displacement risk.
There’s a bitter irony here. Many of these workers spent years being told to “learn to code” as manufacturing jobs disappeared. Now they’re being told AI will handle the coding.
The Competing Narratives
Two stories are unfolding simultaneously.
In one, AI genuinely is transforming work. Large language models can now draft code, summarize documents, answer customer queries, and process data at scales impossible for human workers. The productivity gains are real, and companies are right to restructure around them.
In the other, “AI” has become the perfect alibi. It sounds inevitable rather than cruel. It deflects blame from executives who hired recklessly during the cheap-money era and now need to cut costs as interest rates stay elevated. It lets investors reward layoffs as forward-thinking rather than punishing them as failure.
Both narratives can be true at once. AI is changing what work looks like. And companies are also using AI as cover for cuts that have more to do with financial engineering than technological transformation.
What Comes Next
If Dorsey is right that “the majority of companies” will reach similar conclusions within a year, the March surge is just the beginning.
The pattern emerging is clear: AI doesn’t need to actually replace your job to cost you your job. It just needs to give executives a story that markets will reward.
For workers, the implications are grim. Traditional pathways into professional careers - entry-level roles that provide training and upward mobility - are shrinking. The gains from AI productivity are flowing to shareholders and remaining employees, not to the displaced.
And for the displaced workers themselves, the “learn new skills” advice that accompanies every wave of automation rings hollow when the skills everyone suggested learning last time are now the ones being automated.
The Bottom Line
Forty-five thousand workers have lost jobs in the first weeks of 2026, with AI cited as the reason in over 9,000 cases. Whether the technology is actually replacing them or merely providing convenient justification matters less to those workers than the outcome: they’re unemployed either way.
The AI layoff wave is accelerating. The question isn’t whether AI will transform work - it clearly will. The question is who bears the cost of that transformation, and whether “AI did it” will become the universal excuse for decisions that have far more complicated motivations.