Meta Axes Hundreds More Jobs to Fuel $135B AI Infrastructure Pivot
News/2026-03-25-meta-axes-hundreds-more-jobs-to-fuel-135b-ai-infrastructure-pivot-news
Developer AI Breaking NewsMar 25, 20265 min read
Verified·3 sources

Meta Axes Hundreds More Jobs to Fuel $135B AI Infrastructure Pivot

Featured:Meta

Practical focus

Ship with AI-assisted coding

Guideline angle

When to use an AI coding agent

Meta Axes Hundreds More Jobs to Fuel $135B AI Infrastructure Pivot
  • What: Meta is laying off hundreds of employees across multiple divisions, including Reality Labs, recruiting, and sales.
  • The Cost of AI: The company is projected to spend up to $135 billion on AI data center buildouts and custom hardware.
  • Key Tech: Meta has secured a deal to use Arm’s first CPU in its specialized AI data centers.
  • The Shift: This marks a significant retreat from "metaverse" projects in favor of aggressive AI development.

Meta Platforms is slashing hundreds of positions across its global operations, signaling a ruthless continuation of its efficiency drive as it redirects capital toward a massive $135 billion AI infrastructure buildout. The layoffs, confirmed on Wednesday, hit hardest in the Reality Labs hardware division and social media teams, illustrating a definitive pivot away from the company's "metaverse" namesake and toward the high-stakes race for artificial intelligence dominance.

Restructuring for the AI Era

The current round of job cuts impacts several core organizations within the social media giant. According to reports from The New York Times, NBC News, and The Information, the affected groups include:

  • Reality Labs: The division responsible for virtual reality headsets and smart glasses.
  • Social Media Teams: Impacting core platforms including Facebook.
  • Global Operations and Sales: Reducing headcount in departments that manage client relationships and internal processes.
  • Recruiting: Further scaling back the company’s hiring apparatus.

Meta spokesperson Tracy Clayton confirmed the move in a statement, characterizing the cuts as a routine optimization effort. “Teams across Meta regularly restructure or implement changes to ensure they’re in the best position to achieve their goals,” Clayton said. While the spokesperson declined to provide a specific number of impacted roles, TechCrunch reported that the total figure is fewer than 1,000 employees.

As of December 2025, Meta employed nearly 79,000 workers. While this latest round is smaller in scale compared to the historic 11,000-person layoff in November 2022 and the 10,000-person cut in March 2023, it underscores a persistent "year of efficiency" mentality that has now become the company's permanent operating model.

The $135 Billion Bet: From Metaverse to AI

The reduction in headcount comes as Meta prepares for staggering capital expenditures. The company is projected to spend as much as $135 billion on its AI roadmap, with a heavy focus on data center expansion and custom silicon.

A central component of this strategy is a new deal to utilize Arm’s first-ever CPU designed specifically for data centers. This move suggests Meta is looking to decrease its reliance on external chip suppliers and optimize its internal hardware for proprietary AI workloads.

This financial shift has come at the direct expense of the company’s once-vaunted metaverse ambitions. Over the last several months, Meta has systematically dismantled key pillars of its VR and AR strategy:

  • Studio Closures: Three VR development studios have been shuttered.
  • Project Cancellations: The company axed its work-focused metaverse platform and halted development on new content for its VR fitness app, Supernatural.
  • Headcount Reduction: At least 1,000 workers were laid off from Reality Labs in January 2026 alone.

Even the company’s flagship 3D social platform, Horizon Worlds, has faced uncertainty. In February, Meta announced it would shut down the VR version of the platform before reversing the decision weeks later, stating it would remain available for the "foreseeable future."

Impact on Developers and the Industry

For developers and the broader tech industry, Meta’s pivot represents a seismic shift in the market's gravity. The reallocation of $135 billion toward AI signals that the era of speculative "metaverse" spending is over, replaced by a hardware-intensive race to build the foundation for generative AI.

The move to Arm-based CPUs in Meta’s data centers could also disrupt the competitive landscape for enterprise hardware. By building its own infrastructure, Meta is positioning itself to control the full stack of AI development, from the silicon to the consumer-facing social media algorithms.

For employees, the message is clear: Meta is no longer a "metaverse company" in practice, but an "AI-first" powerhouse. The repeated rounds of layoffs, even as the company remains highly profitable, suggest that human capital is being aggressively re-evaluated based on its direct contribution to AI goals.

"Meta's decision to trade hundreds of jobs for a $135 billion AI war chest proves that in the current tech climate, computing power is more valuable than headcount."

What’s Next for Meta

While the "metaverse" remains part of the company's brand identity, its financial and operational priorities have moved elsewhere. Investors will be watching the upcoming quarterly reports to see how the $135 billion in AI spending translates to improved ad performance or new consumer AI products.

For the Reality Labs team, the focus appears to be narrowing toward high-performance hardware like smart glasses, while broader VR social experiments take a back seat. Meta has stated it will attempt to find "other opportunities" for displaced employees where possible, but the narrowing of the company's focus suggests that specialized AI talent will be the primary beneficiary of future hiring.

As the data center buildout continues, the integration of Arm’s CPUs will be a critical benchmark for Meta’s technical success. If the company can successfully leverage custom hardware to lower the costs of running massive AI models, it may justify the billions spent—and the hundreds of careers disrupted—in this massive corporate transformation.

Sources

Original Source

theverge.com

Comments

No comments yet. Be the first to share your thoughts!