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 9, 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. The company has announced that prices will increase by $50–$100 (about 12–20 percent) starting on April 19, citing “global surge in the price of critical components—specifically memory chips” impacting almost every category of consumer electronics, including VR.

Unlike many tech companies that have been pushed into similar price increases recently, Meta’s own spending priorities are at least partly to blame for the rising prices of those components. The company’s recent hard pivot to the “AI superintelligence” race has directly contributed to the conditions now making its Quest headsets more expensive.

Spending like a drunk sailor

In January, Meta announced that it 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

  • The rising costs of RAM and other computing components are driving up the price of Meta’s Quest VR headsets.
  • Meta’s own spending priorities, particularly its recent hard pivot to AI superintelligence, contribute to these increased component prices.
  • The company plans to spend $115 billion to $135 billion on capital expenditures this year, significantly higher than previous years and primarily allocated to AI infrastructure.

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

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