Meta is preparing to cut up to 15,000 jobs — roughly 20% of its 79,000-person workforce — while simultaneously pouring $135 billion into AI infrastructure this year. The company has already laid off 700 employees across Reality Labs, Facebook, sales, and recruiting, with reports indicating much larger cuts are coming.
This isn’t a contradiction. It’s one strategy: replace human work with AI systems, then redirect the savings into the infrastructure that makes more replacement possible.
The Numbers
Meta’s $135 billion AI capital expenditure for 2026 is nearly double what it spent last year. The company has also committed $600 billion in U.S. infrastructure investments through 2028, most of it for data centers. When the layoff reports surfaced in mid-March, Meta’s stock climbed nearly 3% — Wall Street understood the message clearly.
The 700 jobs already cut span five divisions: Reality Labs (the VR/AR unit that’s been shrinking since the metaverse pivot faded), Facebook’s core product team, recruiting, sales, and international operations. Some affected employees were offered alternative positions or relocation; most were not.
Hours after announcing the latest round of cuts, Meta revealed a new stock option program for top executives that could increase some leaders’ compensation by up to $921 million over five years. CEO Mark Zuckerberg was excluded from the program.
The “AI Builders” Transformation
What makes Meta’s restructuring different from standard layoffs is what’s happening to the employees who remain. A viral post circulating since late March — unverified as official policy but consistent with internal reporting — describes a sweeping cultural transformation inside the company.
The alleged internal targets: 65% of Meta engineers must write 75% or more of their code using AI tools by mid-2026. Machine learning teams face targets of 50–80% AI-assisted code. Across products like Messenger, WhatsApp, and Facebook, 55% of all code changes must be “Agent-Assisted.” Eighty percent of mid-to-senior engineers must adopt AI tools like DevMate and Google Gemini.
Engineers are being rebranded as “AI Builders.” Teams are reorganizing into smaller “AI-native pods.” A gamified compliance system called “Level Up” awards badges for meeting AI adoption milestones. An “AI Performance Assistant” helps managers write performance reviews. Every employee is reportedly graded on “AI-driven impact” in their reviews.
Whether every detail of the leaked targets is accurate matters less than the direction. Meta is not just using AI to cut costs — it’s restructuring its entire engineering culture around the assumption that AI is the primary producer of code, and humans are facilitators.
Who Wins, Who Loses
Meta’s investors are winning. The stock responded positively to layoff reports, and the combination of workforce reduction with aggressive AI spending fits the narrative Wall Street wants: do more with fewer people, invest the difference in infrastructure.
Meta’s remaining engineers face a different calculation. Meeting AI-assisted code quotas while maintaining quality requires real skill, and engineers who master the workflow will be more productive. But the framing — badges, mandatory adoption rates, review scores tied to AI usage — treats a complex capability as a compliance checkbox. The best engineers will game the metrics. The rest will try to survive them.
The 15,000 employees being cut are the clearest losers. More than 9,200 tech layoffs in 2026 have been directly attributed to AI adoption and automation — roughly one in five of all tech jobs lost this year, according to tracking data. Meta isn’t alone. Amazon, Block, and Atlassian have made similar moves. But Meta’s scale and explicitness set it apart.
The broader labor market should pay attention. When the company that employs 79,000 people says it wants AI writing most of the code, it’s signaling where the entire industry is headed. Hiring dropped to its lowest level in years last month, according to Bureau of Labor Statistics data, with employers adding only 4.8 million workers in February — nearly 400,000 fewer than the same month a year ago.
Oxford Economics offers a useful corrective: “We suspect some firms are trying to dress up layoffs as a good news story rather than a bad one — for example, by pointing to technological change instead of past overhiring.” Meta hired aggressively during the pandemic boom and spent billions on a metaverse strategy that didn’t pan out. Some of these cuts are catching up to those decisions, not previewing the AI future.
But some of them are. And the company spending $135 billion to make sure of it.