Meta Platforms is cutting 10% of its workforce to fund a pivot to artificial intelligence that has employees training their own replacements and analysts questioning the $145 billion price tag.
Meta Platforms is cutting 10% of its workforce to fund a pivot to artificial intelligence that has employees training their own replacements and analysts questioning the $145 billion price tag.

Meta Platforms Inc. has begun laying off approximately 8,000 employees, around 10% of its global workforce, in a sweeping restructuring designed to offset massive spending on artificial intelligence as it races to compete with rivals like Google and OpenAI.
“AI is here to stay, apparently the human isn’t,” Gary Tay, an engineer who said he was laid off after nearly 10 years at the company, wrote in a post online. He noted the irony of being let go after spending the last year building AI tools that boosted his team’s productivity by over 200%.
The job cuts, which began with 4 am emails to staff in Singapore, are part of a broader plan that will see Meta spend between $125 billion and $145 billion on AI-related capital expenditures in 2026. The layoffs are expected to save the company around $3 billion. In addition to the cuts, about 7,000 other workers are being reassigned to newly created AI-focused teams and 6,000 open roles will be closed.
The move marks a dramatic escalation of CEO Mark Zuckerberg’s “year of efficiency,” betting the company’s future on an AI pivot that has rattled investors and crushed internal morale. While the company posted a record $56 billion in revenue in its most profitable quarter, its stock has fallen nearly 9% this year as markets weigh the enormous cost of its new strategy.
The restructuring has sent a shockwave through the company, with employees taking to online forums to share stories of anxiety and disbelief. A pregnant worker, seven months from her due date, posted that she was laid off after had already filed for parental leave. Another employee wrote an emotional defense of a laid-off teammate they described as a humble high-performer who consistently worked late into the night on high-priority projects.
The layoffs were executed with a cold efficiency that workers found jarring. Employees in North America were instructed to work from home as the notifications were rolled out in waves across time zones. The early morning emails, which began landing in Asia first, created a day of dread for workers around the world.
Adding to the tension, reports have surfaced of growing internal unease over Meta’s methods for developing its AI. More than 1,000 employees reportedly signed a petition opposing the company’s use of software to track their keystrokes, mouse movements, and screen content for AI training data. A viral post claiming to be from a senior executive alleged that employees were unknowingly teaching the systems that could eventually replace them, stating, “Every click is curriculum.”
This has fueled a narrative among workers that they are not just being made redundant by AI, but are being forced to actively participate in their own obsolescence. “They’re using our computer usage data to train models to be even better at replacing humans,” one employee wrote on the anonymous forum Blind.
While Meta frames the layoffs as a necessary step to fund its AI ambitions, some industry watchers are skeptical. George Pu, founder of Founder Reality, argued the cuts are more about reshaping labor economics than funding research. He noted the $3 billion saved from layoffs is just 2% of the company’s planned $135 billion in AI capital expenditure for the year.
Even some leaders in the AI field have questioned the narrative. Demis Hassabis, head of Google DeepMind, called the argument that AI is driving layoffs a “lack of imagination,” suggesting some firms are using it as a convenient excuse for cuts.
Investors appear to share the caution. JPMorgan Chase downgraded Meta shares after its latest earnings report, citing “a more challenging path to returns” in the AI race. Analysts at Bank of America warned that while Meta is reducing headcount to make room for added expenses, the returns on its massive AI investment cycle are “less clear” than for its competitors.
This article is for informational purposes only and does not constitute investment advice.