Meta is still burning money on AR/VR
Overview
Meta released its quarterly earnings report revealing a staggering $4 billion loss on Reality Labs in Q1 2026. While this might seem like just another day at Meta, the scale of sustained losses is remarkable—and the company's pivot to AI will only increase spending further.
Reality Labs: A $83.5 Billion Money Pit
- Quarterly Average Loss: Meta has lost approximately $4 billion per quarter on Reality Labs
- Total Losses Since 2021: $83.5 billion across 21 quarterly reports
- What Reality Labs Does: AR glasses, VR headsets, and VR software development
Strong Core Business Performance
- Q1 2026 Net Income: $26.8 billion (up 61% YoY)
- Q1 2026 Revenue: $56.3 billion (up 33% YoY)
- Despite massive losses in experimental divisions, Meta's social media business remains highly profitable
The AI Spending Surge
Projected Capital Expenditures
- 2026 Spending Forecast: $125-145 billion
- Exceeds both analyst projections and Meta's previous estimates
- Primary drivers: higher component costs, especially memory pricing
Why the Increase?
CEO Mark Zuckerberg's Statement:
"We are increasing our infrastructure capex forecast for this year. Most of that is due to higher component costs, particularly memory pricing... We are very focused on increasing the efficiency of our investments."
CFO Susan Li on 2027 Outlook:
"We aren't providing a specific outlook for 2027 capex... Our experience so far has been that we have continued to underestimate our compute needs."
AI Competitive Strategy
- Goal: Compete with OpenAI and Anthropic
- 2025 Actions: Poached 50+ AI researchers and engineers from competitors
- Recent Release: Muse Spark model (April 2026)
- Result: "Large increases" in Meta AI usage, but infrastructure costs continue to climb
Market Reaction
- Stock Performance: Down more than 5% in after-hours trading following earnings call
- Investor Concern: Uncertainty around future capital expenditure needs and ROI on AI investments
Key Takeaway
Meta's transition from metaverse ambitions to AI leadership is proving even more expensive than its failed Reality Labs bet. While the company has the financial resources to sustain this spending, the lack of visibility into future compute needs and escalating infrastructure costs are causing investor anxiety despite strong core business performance.