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Leaked financial docs show OpenAI is losing billions of dollars a year

Leaked financial docs show OpenAI is losing billions of dollars a year

arstechnica.com

June 17, 2026

2 min read

🔥🔥🔥🔥🔥

57/100

Summary

OpenAI's revenue is projected to increase from $3.7 billion in 2024 to $13.07 billion in 2025, according to leaked financial documents. Despite this revenue growth, the company is facing significantly larger expenses, resulting in annual losses in the billions.

Key Takeaways

  • OpenAI's revenue grew from $3.7 billion in 2024 to $13.07 billion in 2025, with monthly revenues nearing $2 billion by the end of 2025.
  • OpenAI's research and development expenses surged from $7.81 billion in 2024 to $19.18 billion in 2025, including $10.59 billion paid to Microsoft.
  • The company's operating loss increased from $8.78 billion in 2024 to $20.92 billion in 2025, despite a slight improvement in operating losses as a percentage of revenues from 237% to 160%.
  • OpenAI's costs of revenue rose from $2.65 billion in 2024 to $7.5 billion in 2025, reflecting significant compute costs associated with model inference.
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Community Sentiment

Mixed

Positives

  • The high profitability of inference suggests a strong business model for AI applications, potentially leading to sustainable growth despite current losses.
  • OpenAI's ability to attract 900 million weekly active users indicates significant interest and engagement with their AI tools, which could translate to future monetization opportunities.
  • The discussion around improving inference costs highlights an ongoing commitment to optimizing AI performance, which is crucial for maintaining competitive advantage.

Concerns

  • R&D costs are a major concern, as cutting them could jeopardize OpenAI's relevance in a rapidly evolving AI landscape.
  • The reliance on a high-touch business model raises questions about long-term sustainability, especially with the availability of cheaper alternatives in the market.
  • The struggle to convert free users to paid subscribers suggests potential challenges in monetizing AI services effectively, which could impact future profitability.

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