Meta’s AI spending spree is helping make its Quest headsets more expensive

Meta’s AI Spending Spree is Helping Make Its Quest Headsets More Expensive The rising costs of RAM and other computing components are…

By AI Maestro May 8, 2026 1 min read
Meta’s AI spending spree is helping make its Quest headsets more expensive

Meta’s AI Spending Spree is Helping Make Its Quest Headsets More Expensive

The rising costs of RAM and other computing components are pushing up the price of Meta’s Quest VR headsets, which will increase by $50–$100 (about 12–20 percent) starting on April 19. In announcing that price increase on Thursday, the company cited “the global surge in the price of critical components—specifically memory chips—and its own spending priorities as contributing factors.”

Unlike many other tech companies forced into similar price increases in recent months due to a RAM shortage, Meta’s increased AI spending is at least partially responsible for the rising prices of those components. The company’s recent hard pivot to the “AI superintelligence” race has directly contributed to these conditions, making its own Quest headsets more expensive.

Spending like a drunk sailor

In January, Meta announced plans to spend $115 billion to $135 billion on capital expenditures this year, up significantly from $72 billion in 2025 and just $28 billion as recently as 2023. The vast majority of that investment is going into AI infrastructure, including a recent $21 billion in new investment in data center company CoreWeave (in addition to $14.2 billion originally committed) and an additional $10 billion recently committed to a planned El Paso data center (up from $1.5 billion initially).

Key Takeaways

  • Meta’s Quest VR headsets are seeing price increases due to the global surge in memory chip prices.
  • The company is spending significantly more on AI infrastructure, contributing to higher component costs.
  • Meta’s shift towards AI superintelligence has exacerbated conditions that affect its own products.

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Originally published at arstechnica.com. Curated by AI Maestro.

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