Meta announced on Thursday that it will be reducing its workforce by approximately 8,000 employees, which accounts for about 10% of its total staff. The company stated that these job cuts are aimed at improving efficiency and reallocating resources to new business initiatives, with an additional 6,000 positions left vacant. This move comes as Meta increases its investments in artificial intelligence infrastructure and hires high-level AI experts.
The cost-saving measures are part of a broader industry trend where companies like Meta and Oracle are facing significant expenses related to artificial intelligence technologies. Meta has indicated that its expenses for 2026 are expected to rise substantially, ranging from $162 billion to $169 billion, primarily driven by infrastructure investments and competitive salaries for AI professionals.
Analysts, including Dan Ives from Wedbush, view Meta’s workforce reduction as a strategic shift towards leveraging AI tools to automate tasks, streamline operations, and cut costs while maintaining productivity. The specific locations or departments affected by the job cuts at Meta, which has offices in Vancouver, Toronto, and Montreal, have not been disclosed.
In a separate development, Microsoft announced that it will offer voluntary buyouts to around 8,750 employees in the U.S., representing about 7% of its American workforce. The tech giant, headquartered in Redmond, Washington, has been heavily investing in expanding its global network of data centers to support cloud computing services, AI systems, and productivity tools like the AI assistant Copilot.
Microsoft’s voluntary retirement plan was revealed in a memo from the company’s chief people officer, Amy Coleman. This initiative, marking the first of its kind in Microsoft’s 51-year history, aims to provide eligible employees with the opportunity to transition on their own terms with support from the company.
The moves by Meta and Microsoft reflect the ongoing shifts in the tech industry towards harnessing artificial intelligence technologies and optimizing workforce structures to drive innovation and efficiency.