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Sources: Sam Altman told staff that OpenAI is generating $1.3B in revenue per year, implying the company is now generating $100M+/month, up 30% in three months

ChatGPT maker OpenAI is generating revenue at a pace of $1.3 billion a year, CEO Sam Altman told staff this week, according to several people with knowledge of the matter.

The Information Amir Efrati

Context & Ripple Effects

This report puts a concrete commercial marker on OpenAI's early ChatGPT-era business: annualized revenue had risen about 30% in three months, making monetization—not just product attention—a central measure of its progress.

The figure became a near-term baseline for subsequent coverage of OpenAI reaching a $1.6B annualized revenue pace, while much later reporting tied growth to API demand. The arc matters because revenue scale and the cost of serving AI workloads must advance together.

First-order effects

  • OpenAI gains evidence of a sizable, fast-growing revenue base, strengthening its ability to treat paid AI products as a core business rather than an experimental add-on.
  • Staff and prospective customers get a clearer signal that ChatGPT-related offerings are converting demand into recurring spend at meaningful scale.

Second-order effects

  • Other AI developers selling model access or assistants face greater pressure to show paid adoption and durable revenue, rather than relying on user interest alone.
  • The reported run rate raises the importance of AI unit economics: growth in paid usage is valuable only to the extent that serving those workloads can be supported efficiently.

Third-order effects

  • If comparable growth persists, frontier AI competition will increasingly be organized around the ability to convert inference capacity into recurring revenue, not solely around model launches.
  • The durable uncertainty is whether revenue growth can keep pace with serving costs; that balance will help determine which AI business models can sustain scale.

The trend: This is an early data point in the commercialization of AI compute, where recurring revenue must increasingly justify the cost of delivering model output.