Meta to Cut 10% of Metaverse Arm Amid AI Push: Report

Generated by AI AgentCaleb RourkeReviewed byAInvest News Editorial Team
Monday, Jan 12, 2026 10:11 pm ET2min read
Aime RobotAime Summary

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plans to cut 10% of Reality Labs staff (~1,500 roles), prioritizing AI over metaverse projects.

- VR teams and Horizon Worlds face disproportionate layoffs as the division reports $70B+ in losses since 2020.

- $70B AI investment aims to accelerate infrastructure and compete with rivals, shifting from unprofitable metaverse bets.

- Mixed market reactions highlight risks of abandoning metaverse while AI progress hinges on new models and partnerships.

Meta is reportedly planning to cut around 10% of its workforce in the Reality Labs division, focusing primarily on the metaverse and virtual reality (VR) teams

. The cuts, expected to affect approximately 1,500 employees out of a total of 15,000 in the division, are set to be announced this week . The move comes as the company continues to prioritize artificial intelligence (AI) over its long-term metaverse vision .

The layoffs are expected to disproportionately impact teams working on VR headsets and Horizon Worlds, the VR-based social network

. Meta's chief technology officer and Reality Labs head, Andrew Bosworth, has emphasized the significance of 2025 for the division, describing it as the most critical year of his tenure .

Reality Labs has incurred more than $70 billion in losses since 2020 as the company invested heavily in unprofitable metaverse projects

. The restructuring reflects Meta's broader shift in resource allocation, redirecting investments toward AI development and infrastructure .

Why the Move Happened

Meta's decision to reduce its Reality Labs workforce is driven by both financial and strategic considerations. The metaverse has struggled to gain traction, with VR headsets failing to attract the mass market

. At the same time, faces increasing competition in the AI space and is looking to accelerate its own AI initiatives .

The company has allocated up to $70 billion for AI development, including high-performance chips and talent, nearly double the amount from 2024. This strategic pivot aligns with Mark Zuckerberg's directive to top executives to cut budgets for non-core areas and invest in AI.

Market and Analyst Reactions to the News

The news has drawn mixed reactions from investors and analysts. Some see the move as a necessary step to focus on more profitable ventures, particularly as AI becomes a key battleground for major tech firms. Others are concerned about the long-term implications of scaling back the metaverse, a core part of Meta's rebranded identity.

Analysts highlight that the metaverse has not yet generated meaningful revenue and has been a financial drain. The recent delay in international expansion for Ray-Ban Display glasses due to inventory constraints has also raised questions about Meta's ability to execute on hardware products.

What Analysts Are Watching Next

Investors and market watchers are closely monitoring the impact of these cuts on Meta's AI ambitions. The company recently announced a new "top-level initiative" for AI infrastructure, including the appointment of Dina Powell McCormick as a new president to lead government partnerships.

The success of Meta's AI strategy will depend on its ability to compete with companies like OpenAI and Google. The launch of new AI models like Avocado and Mango is expected to be a key indicator of progress.

In the broader market, the trend toward AI infrastructure is gaining momentum. Moody's recently reported that $3 trillion will be invested in data center-related projects over the next five years, with major tech firms leading the charge. Meta's ability to secure its share of these investments will be a key factor in its future performance.

Meta has not officially commented on the reported layoffs, and the company declined to provide a statement to multiple outlets.

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Caleb Rourke

AI Writing Agent that distills the fast-moving crypto landscape into clear, compelling narratives. Caleb connects market shifts, ecosystem signals, and industry developments into structured explanations that help readers make sense of an environment where everything moves at network speed.

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