Meta is preparing layoffs that could slash up to 20% of its workforce, according to a Reuters report. The cuts would free up resources as the company pours money into AI infrastructure at a pace that makes even other Big Tech spending look modest.
The numbers are stark. Meta has told investors it plans to spend $600 billion building data centers by 2028. At roughly 80,000 employees, a 20% cut would affect around 16,000 people. Top executives have already signaled the plans to senior leaders and told them to start figuring out where to trim. No date or final number has been set.
Meta spokesperson Andy Stone pushed back, calling the Reuters report "speculative reporting about theoretical approaches." But the groundwork is clearly being laid.
The Efficiency Argument
This would be Meta's largest round of cuts since the 2022-2023 restructuring that Zuckerberg branded the "year of efficiency." Back then, the justification was post-pandemic bloat. This time, the framing is different: AI tools are making smaller teams more productive, so you need fewer people.
Zuckerberg said as much in January, noting that "projects that used to require big teams now be accomplished by a single very talented person." It is a striking thing to say publicly when you employ 80,000 people. The subtext is hard to miss: AI replaces headcount, and the savings get reinvested into more AI.
For anyone working with AI productivity tools daily, this is the macro version of what is already happening inside smaller companies. Teams are shrinking not because the work disappeared, but because one person with the right tools can now do what three or four people did before. Meta is just doing it at a scale that makes headlines.
The tension here is real. Meta is simultaneously the company building AI models (Llama), selling AI-powered ad targeting, and now using AI as justification to cut a fifth of its own staff. The $600 billion question is whether the AI investments actually generate enough revenue to justify both the infrastructure costs and the human cost of getting there.