For all of Mark Zuckerberg’s public enthusiasm about artificial intelligence, the financial reality behind that enthusiasm is starting to look uncomfortable. Meta is weighing layoffs that could affect up to 20% of its roughly 79,000 employees — a figure that would translate to somewhere between 15,000 and 16,000 job losses, according to people familiar with the planning.
The timing matters. Senior executives have reportedly been asked to begin laying the groundwork for significant workforce reductions, though the exact scope and schedule remain unresolved. A company spokesperson described the reports as “speculative reporting about theoretical approaches” — language that neither confirms nor firmly denies the direction of travel.
Context is everything here. Meta has committed to spending between $115 billion and $135 billion on AI infrastructure in 2025 alone, covering data centers, proprietary chips, and eye-popping recruitment packages for top researchers. The company also announced plans to invest $600 billion in data center construction by 2028, a number that makes the scale of the ambition — and the cost pressure — hard to ignore.
Earlier this year, Meta acquired Moltbook, a social networking platform built for AI agents, and has been in talks to buy AI startup Manus. In mid-2025, Zuckerberg brought Scale AI founder Alexandr Wang on board through a $14.3 billion investment and handed him the Chief AI Officer title. These moves cost money, and the workforce math appears to be the offset.
What makes this restructuring distinct from prior rounds is the strategic shift it signals. When Meta cut 21,000 jobs across 2022 and 2023 under its so-called “year of efficiency,” the rationale was bloated headcounts following pandemic-era over-hiring. This time, the argument is different: AI tools are supposedly capable of handling work that once required large teams, which gives executives both a financial and a technological justification for cuts.
The trend is hardly unique to Meta. Amazon confirmed 16,000 job cuts in January, and fintech firm Block recently halved its workforce, with CEO Jack Dorsey directly citing AI capabilities. Some observers, including OpenAI’s Sam Altman, have suggested many of these reductions amount to what he called “AI-washing” — using artificial intelligence as cover for other structural problems.
Meta’s AI model development has also not gone entirely to plan. The company shelved the largest version of its Llama 4 model, known internally as Behemoth, after criticism that it produced misleading benchmark results. A replacement model codenamed Avocado has been delayed multiple times and is now expected no earlier than May 2026.
The departure of AI chief scientist Yann LeCun and the restructuring of the research unit FAIR add further texture to what looks less like a streamlined company racing ahead in AI, and more like one undergoing a painful transition from open-source pioneer to commercial product maker.
For employees, the uncertainty is significant. No announcement has been made, no timeline has been set, and the company’s public posture remains cautious. But the gap between what Meta is spending and what it can justify operationally suggests that a reckoning of some kind is coming, regardless of how it is eventually framed.
The broader question — whether AI is genuinely replacing jobs or simply providing convenient cover for cost-cutting that would have happened anyway — is one the industry has yet to answer honestly. For Meta’s workforce, however, the philosophical debate is likely cold comfort.
