Meta just cut 600 employees from its AI division, a surprising move that comes just months after the company poured $14.3 billion into Scale AI and created its new Superintelligence Labs. The layoffs hit workers across AI infrastructure, research units, and product teams as CEO Mark Zuckerberg pushes for a 'more nimble' operation despite planning to spend up to $118 billion this year on AI initiatives.
Meta is cutting deep into its AI workforce even as it doubles down on artificial intelligence spending. The company confirmed Wednesday it's laying off roughly 600 employees within its AI unit, marking one of the most significant workforce reductions in the division since Zuckerberg's AI pivot began.
The timing couldn't be more striking. Just four months ago, Meta made headlines with its massive $14.3 billion investment in Scale AI, bringing aboard the company's founder Alexandr Wang as Chief AI Officer. Now Wang is the one delivering the bad news in internal memos, according to CNBC, which first confirmed the cuts.
Employees across Meta's AI infrastructure teams, the Fundamental Artificial Intelligence Research unit, and various product positions are getting hit. Those affected received notifications Wednesday that their last day is November 21, with the curious caveat that they're entering a "non-working notice period" where "your internal access will be removed and you do not need to do any additional work for Meta," according to internal messages viewed by reporters.
The severance package is notably generous - 16 weeks plus two additional weeks for every year of service. But there's a catch: the notice period gets subtracted from that total. Meta's also telling laid-off workers they can use the time to hunt for other roles within the company, though that seems like cold comfort given the circumstances.
This workforce reduction comes as Zuckerberg has been increasingly frustrated with Meta's AI progress. The lukewarm reception to the company's Llama 4 models in April reportedly left the CEO searching for ways to accelerate development and compete more effectively with OpenAI and Google.
That frustration led to the creation of Meta Superintelligence Labs, the new unit that houses the company's top AI researchers and engineers under Wang and former GitHub CEO Nat Friedman. The group represents Meta's most ambitious bet yet on achieving artificial general intelligence, with resources and talent poached from across Silicon Valley.
But even as Meta cuts AI staff, it's ramping up spending at an unprecedented pace. During July's earnings call, the company raised its 2025 expense guidance to between $114 billion and $118 billion - numbers that are only expected to climb higher. Meta warned investors that AI initiatives will drive expense growth above 2025 levels in 2026.
The contradiction isn't lost on observers. Just Tuesday, Meta announced a $27 billion partnership with Blue Owl Capital to develop the massive Hyperion data center in Louisiana. Zuckerberg described the facility as large enough to cover "a significant part of the footprint of Manhattan" in social media posts.
Industry analysts see the layoffs as part of Meta's broader strategy to eliminate redundancies and move faster in the AI race. The company has been aggressively recruiting top talent from competitors while simultaneously streamlining operations to reduce what Wang's memo described as "layers" that slow decision-making.
The cuts also reflect the harsh realities of AI development economics. Despite massive investments, many AI projects remain experimental with uncertain returns. Companies across Silicon Valley are discovering that throwing money at the problem doesn't automatically translate to breakthrough results.
Meta's AI restructuring comes just days before the company reports third-quarter earnings, where investors will be watching closely for signs that the billions in AI spending are starting to pay off. The timing of these layoffs suggests the company wants to show fiscal discipline even as it pursues its most expensive technology bet ever.
Meta's 600 AI layoffs reveal the complex balancing act facing tech giants in the AI arms race. While the company continues massive infrastructure investments and talent acquisitions, it's also ruthlessly cutting roles that don't directly advance its superintelligence goals. For employees in AI divisions across Silicon Valley, this signals that even the most well-funded AI initiatives aren't immune to workforce optimization. The real test will be whether these cuts help Meta move faster toward its AI ambitions or simply reflect the growing pains of an industry still figuring out how to turn AI investment into sustainable returns.
