Meta begins cutting 8,000 jobs globally with e-mails sent out in Singapore at 4am
Meta is laying off 8,000 employees globally, with notifications sent at 4am local time on May 20, as part of a restructuring to fund AI investments exceeding $100 billion. The cuts primarily target engineering and product teams, while 7,000 workers are reassigned to AI-focused initiatives, raising concerns among employees and investors over data collection and financial sustainability.
Meta has begun notifying 8,000 employees worldwide of layoffs, with emails sent at 4am local time on May 20 in Singapore, Britain, the US, and other regions. The restructuring aims to improve efficiency and fund AI investments, with the company committing over $100 billion to AI capital expenditures in 2026. Engineering and product teams are the hardest hit, while 7,000 employees are being reassigned to AI-focused teams, reducing Meta’s workforce from nearly 80,000 employees as of March. The layoffs follow a memo from Meta’s head of people, Janelle Gale, outlining plans to adopt a flatter organizational structure with smaller, agile teams. CEO Mark Zuckerberg has prioritized AI, pushing engineers to use AI tools and even developing his own AI-powered assistant. Employees have expressed frustration over data collection efforts, including tracking keystrokes and screen content, with over 1,000 signing a petition against it. Meta’s aggressive AI spending has raised concerns among investors, who question whether the cuts will offset costs. Analysts estimate the layoffs will save about $3 billion, a fraction of Meta’s projected $145 billion in capital expenditures for 2026 and future AI infrastructure spending. The company has undergone multiple layoffs in recent years as part of Zuckerberg’s push for efficiency. Employees have reported anxiety and reduced morale due to the layoffs, with some sharing concerns on social media. The restructuring reflects Meta’s broader shift toward AI, positioning it to compete with rivals like Google and OpenAI. However, the financial and operational risks remain significant as the company balances workforce reductions with massive AI investments.
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