Meta to Lay Off 8,000 Staff as AI Investment Surges

Meta is preparing to reduce its workforce by thousands next month amid heightened investment in AI initiatives. The company shared its plan with employees through a memo, revealing a targeted 10% staff reduction—approximately 8,000 positions. Additionally, it will leave a significant number of vacancies unfilled, despite prior hiring efforts. This decision follows a strategic reallocation of resources, with AI becoming a central focus for the firm.

According to internal estimates, Meta’s AI spending this year will reach $135bn, matching the total allocated to the field over the past three years. A source who reviewed the memo confirmed this figure. The company’s shift in priorities has intensified in recent months, as it races to advance its AI models and tools. A spokesperson validated the layoffs but provided no additional details.

Zuckerberg’s Vision for AI-Driven Efficiency

Mark Zuckerberg, Meta’s co-founder and CEO, hinted at the need for workforce adjustments in January. He emphasized the transformative impact of AI on productivity, noting that one individual can now accomplish tasks previously requiring a larger team. “I believe 2026 will mark a turning point where AI significantly reshapes our work processes,” he stated.

“This company has become obsessed with AI,” remarked an employee, describing the new tracking system for computer interactions as “dystopian” in light of the layoffs.

Reuters previously reported that Meta could cut more than 10,000 roles this year, while Bloomberg first disclosed the memo. The upcoming cuts represent the company’s most substantial reduction since 2023, after it had already eliminated around 2,000 positions in earlier rounds. Despite recent hiring efforts, the total employee count now appears poised to decline again, echoing a trend that began in 2022.

The memo also outlines plans to monitor employee activity on work computers, a measure aimed at refining AI training. This step has sparked concern among staff, who fear the growing reliance on automation may further erode job security. As Meta accelerates its AI ambitions, the balance between innovation and workforce stability remains a critical challenge.