Brief

Meta to Cut 10% of Reality Labs Workforce

Meta plans to lay off roughly 10% of its Reality Labs team, reflecting a shift in focus from metaverse projects to artificial intelligence. The move coincides with broader AI infrastructure investments.

By Laura Bennett • 1 min read Published: Updated:

Meta is set to lay off hundreds of employees at its Reality Labs division this week, affecting around 10% of the team responsible for metaverse projects, The New York Times reported. Reality Labs, which employs roughly 15,000 people, develops the company’s virtual and augmented reality products.

The layoffs reflect Meta’s strategic pivot toward artificial intelligence, which the company has prioritized over virtual reality development. Bloomberg reported that Meta plans to reduce its metaverse budget by approximately 30%, even as products like Ray-Ban Meta smart glasses gain attention. VR social platforms, however, continue to see limited consumer engagement, contributing to over $70 billion in losses for Reality Labs since 2021.

Meta’s CTO, Andrew Bosworth, urged employees to attend an in-person meeting he described as “the most important of the year” to discuss the changes. The shift aligns with Meta’s broader AI strategy, including its new Meta Compute initiative, aimed at expanding AI infrastructure, energy capacity, and global data center capabilities to support long-term AI development.

Disclaimer: AIstify is an independent media brand owned and operated by NuvexMedia LLC, publishing news, research, and insights on artificial intelligence, emerging technologies, automation, and related industries. NuvexMedia LLC invests in and collaborates with companies across the AI, technology, software, and digital innovation sectors. These relationships do not influence AIstify’s editorial coverage, and the publication maintains full editorial independence to provide accurate, timely, and objective information. © 2026 NuvexMedia LLC. All rights reserved. This content is for informational purposes only and should not be considered legal, tax, investment, financial, or other professional advice.

AI & Machine Learning, News