Sources: OpenAI generated ~$5.7B in revenue in Q1, ~$1B more than Anthropic; its adjusted operating income margin was -122%, and ChatGPT user growth stalled
OpenAI generated about $5.7 billion in revenue in the first quarter, nearly $1 billion more than archrival Anthropic generated in the same period, according to two people with knowledge of the financials.
Context & Ripple Effects
OpenAI’s reported first-quarter revenue follows earlier investor disclosures showing revenue growth through 2025 and a February annualized-revenue figure of $25 billion. The new figures add a profitability and user-growth dimension that those revenue milestones did not resolve.
Anthropic is the relevant comparator: OpenAI retained a roughly $1 billion quarterly revenue lead in the report, while subsequent coverage says Anthropic’s revenue run rate and valuation have continued to rise. The contest is therefore increasingly about converting scale into durable economics, not simply posting top-line growth.
First-order effects
- OpenAI’s reported revenue lead over Anthropic preserves its near-term commercial-scale advantage, but the reported -122% adjusted operating-income margin indicates that serving and developing its products is still consuming substantially more than the business earns on that measure.
- Stalled ChatGPT user growth removes a key source of easy expansion for OpenAI and raises the importance of extracting more revenue from existing users and enterprise customers.
Second-order effects
- OpenAI is likely to put greater emphasis on enterprise strategy and product changes that deepen paid usage, while Anthropic can use its narrowing revenue comparison to strengthen its enterprise positioning and fundraising narrative.
- The contrast between fast revenue growth and deeply negative margins will sharpen scrutiny of AI-product pricing, inference costs, and the durability of subscription-led growth across the leading model providers.
Third-order effects
- If leading AI vendors continue to grow revenue faster than they improve margins, the sector’s competitive advantage may shift toward firms that can finance sustained operating losses and turn enterprise demand into repeatable, higher-margin revenue.
- The reported user-growth plateau suggests the market may be moving from broad consumer acquisition toward a harder phase of retention, monetization, and cost discipline; whether that transition improves margins remains unresolved by this report.
The trend: Generative-AI leaders are entering a scale-versus-economics phase in which revenue leadership matters, but user growth and the cost of delivering models increasingly determine competitive durability.