Human
Meta says it doesn't know its ideal size as it prepares to lay off 10% of its staff
Meta CEO Mark Zuckerberg and CFO Susan Li say the company is focusing on AI efficiency amid high spending.
4 days ago
Meta is pouring billions into artificial intelligence—and paying for it by cutting people. In May, roughly one in ten Meta employees will find out that the company’s “year of efficiency” never really ended.
The story went public on April 23, when Meta told workers it planned to lay off 10% of its global staff next month, a move expected to hit more than 8,000 people.1 An internal memo framed the decision as a painful but necessary step to boost “efficiency” and tackle rising costs, with promises of severance packages and extended benefits for those pushed out.1
That same day, outside observers got a clearer sense of scale: Meta would cut about 8,000 roles explicitly “as part of [an] AI efficiency push,” tying the headcount reduction directly to its expanding bets on artificial intelligence and the infrastructure needed to power it.2
The layoffs, scheduled for May 20, are the latest act in a long-running restructuring. Meta has already axed more than 20,000 workers since 2022 as CEO Mark Zuckerberg rebranded cost-cutting as a “pivot to efficiency.”3
The new cuts land against a backdrop of eye-watering AI investment. In January, Meta said its capital expenditures would soar by at least 60% this year compared with 2025, “driven by increased investment to support our Meta Superintelligence Labs efforts and core business.”3 The result: free cash flow is expected to plunge 83% year over year.3
By late April, the bill for AI had only grown. Meta has now doubled its annual capital expenditures to a range of $125 billion to $145 billion, far outpacing revenue growth.4 That disclosure spooked Wall Street, sending Meta’s stock down 6% after its first-quarter earnings call.4
CFO Susan Li tried to square the circle: massive infrastructure spend, markets demanding discipline, and tens of thousands of workers wondering if they still have jobs. “As we grow our infrastructure spend, we remain committed to operating efficiently, and we recently shared internally that we plan to reduce the size of our employee base in May,” she told investors.4
On that same earnings call, Li admitted something that has become the subtext of the entire saga: Meta no longer knows how many humans it actually needs.
With employees bracing for the May layoffs, she conceded she “doesn’t really know” what the company’s ideal head count should be, citing “a lot of change right now, with AI capabilities advancing rapidly.”4 In other words, even the people holding the purse strings can’t say where the bottom of this restructuring is.
That uncertainty is not just a Meta problem. Across tech, executives are staring at the same equation: soaring AI costs, investor demands for margin protection, and an emerging belief that fewer people can do more, faster, with AI.
Meta has become one of the most aggressive AI adopters internally, launching regular “AI Weeks,” designating “AI builders,” and reorganizing teams into “AI pods.”4 But for many employees, those slogans now sound like prelude to a pink slip.
Back on April 23, when Meta’s internal memo outlined the May cuts, the language leaned on familiar corporate tropes: efficiency, focus, and responsible cost management.1 The company stressed that the underlying business remained strong, but labor was now on the chopping block as AI spending ballooned.1
Inside the company, the impact was immediate. Morale took a hit, especially among teams that had survived previous rounds and hoped the worst was over.
Employees weren’t just worried about losing their jobs; they were worried about what kind of company Meta was becoming. Reports that Meta planned to record employees’ keystrokes and mouse movements to train its AI models only added to the unease, even as the company insisted the data would be “abstracted” and not individually monitored.3
Zuckerberg has tried to draw a clear narrative line: AI is a multiplier for human work, not a replacement. “AI isn’t going to replace people,” he told investors. “Instead, I think that AI is going to amplify people’s ability to do what they want.”4
But even he concedes that the mix of people and machines is changing fast. Because of AI, Meta is now seeing “more and more examples of one or two people building something in a week that would previously have taken dozens of people months,” he said.4
That may be a tech investor’s dream, but it’s the stuff of nightmares for employees: the CEO praising tiny, hyper-efficient teams at the exact moment the company is about to shed thousands of jobs.
Publicly, Zuckerberg has pushed back on the idea, popular among some executives, that AI will trigger mass unemployment.4 Internally, though, he has championed “streamlining” teams so they “aren’t bigger than they need to be,” consistent with his long-stated preference for small, fast-moving groups.4
In an internal meeting about the layoffs, he went further, arguing that AI automation itself isn’t the direct driver of the cuts. Instead, he framed AI as a tool that has made small teams “far more efficient,” implying that the job reductions are an adaptation to that new reality rather than automation simply eating roles one-to-one.5
If Zuckerberg offered the philosophical frame, Meta’s HR chief, Janelle Gale, delivered the blunt truth. In an internal meeting on April 30, she told staff she could not promise that the May layoffs would be the last.
“Will there be more layoffs? The question always comes up,” Gale said, according to people on the call. “I’d love to say that there are no more layoffs, but I can’t say something we can’t deliver.”5
Gale insisted “the business is strong” but pointed to shifting priorities, fierce competition, and the ongoing need to “manage our costs responsibly.”5 That, she said, means Meta will “continue to evolve teams as needed” and “try to redeploy talent,” with some organizations hit harder than others.5
She also highlighted Meta’s growing investment in its Applied AI organization as a key focus area—implicit guidance on where the company sees its future and, by contrast, which legacy areas are more expendable.5
Leaders emphasized during the meeting that AI token usage would not be a factor in determining who gets laid off, in an attempt to dispel fears that internal AI metrics were turning into a quiet performance ranking tool.5
Meta’s moves don’t exist in a vacuum. They’re part of a broader tech-industry pattern in which companies trumpet AI breakthroughs while trimming payrolls to absorb the costs.
“Many Big Tech companies are eyeing layoffs as a way to appeal to investors in the AI era,” one analysis noted.3 Amazon plans to cut around 16,000 workers this year as part of a restructuring tied to its AI investments. Block has said it will slash roughly 4,000 roles—about half its workforce. Salesforce is cutting about 1,000 jobs linked explicitly to AI automation. Snap is eliminating about 1,000 jobs, around 16% of its staff. Microsoft has opted for voluntary buyouts for about 7% of its employees.3
The message from the market is clear: if you’re going to spend tens of billions on GPUs and supercomputers, you’d better claw that cash back somewhere else. And that “somewhere else” keeps looking a lot like payroll.
Laid out chronologically, Meta’s trajectory tells a simple story:
The competing narratives are now set.
From Meta’s leadership perspective, this is a story of necessary transformation: shrinking to grow, betting big on AI, and trusting that fewer, more “amplified” humans can build the future faster than lumbering armies of coders and managers.
From the workforce perspective, it looks more like a cliff: a company that doesn’t “really know” how many people it needs, investing heavily in tools that let a handful of engineers do what once required dozens, while refusing to promise that the cuts will ever stop.
What’s happening at Meta is not just a cyclical tech layoff story. It’s a preview of the AI-era labor contract: unlimited spending on machines, permanent uncertainty for humans, and a leadership class convinced that this is the only efficient way forward.