Key Notes
- OpenAI told investors its annualized revenue was approaching $50 billion at the end of September.
- Earlier reports near $70 billion reflected a different treatment of partner sales.
- The figure is a revenue run rate rather than sales earned over a completed year.
OpenAI told investors its annualized revenue was approaching $50 billion at the end of September, roughly $20 billion below the figure widely circulated late last month. The Financial Times reported the number on October 8 after reviewing financial documents shared with investors.
The difference changes the picture of the ChatGPT maker’s scale, but it needs careful interpretation. The figures describe a revenue run rate rather than sales collected over a completed year, and reporting points to different treatment of partner sales behind the gap. It does not establish that OpenAI missed a formally announced $70 billion annual target.
Where the $70 Billion Figure Came From
The FT traced the discrepancy to investors’ efforts to make OpenAI’s revenue comparable with Anthropic’s. Sales through cloud providers complicate that comparison: a customer’s spending through an intermediary and the revenue recognized by a model developer are not necessarily the same amount. Using one company’s approach to adjust another company’s figures can produce a materially different headline total.
Axios separately explained that the earlier estimate reflected an attempt to include partner sales on a basis comparable with Anthropic. Its sources said both companies comply with generally accepted accounting principles, despite handling those sales differently. The accounting explanation matters because it separates a change in the comparison from evidence that customer demand suddenly fell.
What Annualized Revenue Actually Measures
An annualized figure takes revenue over a shorter period and projects that pace across a year. For a simple illustration, a business generating $100 million in one month would have a $1.2 billion annualized run rate if that month’s pace were maintained. It would not have already earned $1.2 billion.
This is useful for describing a fast-growing company’s current sales momentum, especially when its latest monthly performance differs substantially from the average earlier in the year. It is less useful when presented without a measurement period or a clear explanation of what revenue is included. A run rate can change as customers increase spending, subscriptions expire or usage fluctuates.
The reported $20 billion difference is therefore a gap between two headline estimates. Reading it as $20 billion in lost cash, cancelled contracts or missing completed-year sales would go beyond the evidence available.
Why AI Infrastructure Investors Are Watching
The news reached beyond OpenAI itself. Dow Jones Newswires reported declines across several AI-linked stocks after the FT story, including Oracle and AMD. In its midday snapshot, Oracle was down 4.9% and AMD 3.3%; those were intraday moves, not closing prices.
The broader significance is the relationship between AI sales and infrastructure investment. Higher revenue can support expectations for spending on chips, cloud capacity and data centers. A lower starting figure changes the assumptions investors use to assess that spending, even when part of the difference comes from accounting presentation. A single day’s share-price moves cannot establish how much any one report contributed to the selloff.
Revenue Growth Still Leaves the Profit Question Open
OpenAI is expanding the ways it charges for its products. Its recently introduced $500 plan targets heavy individual users, while planned image-generation ads add another route to monetizing ChatGPT. Those initiatives provide commercial context, but neither announcement establishes how much revenue or profit it will contribute.
Revenue also comes before the costs of delivering the service. Running models, training successors and supporting paying customers all affect the economics of an AI business. A revenue run rate alone cannot show whether additional usage improves margins or how quickly infrastructure commitments can be funded from operations.
OpenAI declined to comment to the FT. For the next financial update, the most useful disclosures would be actual quarterly revenue, consistent treatment of partner sales and a clearer view of costs. Together, those would make it easier to distinguish commercial growth from changes in how the numbers are presented.
Disclaimer: AIstify is an independent media brand owned and operated by NuvexMedia LLC, publishing news, research, and insights on artificial intelligence, emerging technologies, automation, and related industries. NuvexMedia LLC invests in and collaborates with companies across the AI, technology, software, and digital innovation sectors. These relationships do not influence AIstify’s editorial coverage, and the publication maintains full editorial independence to provide accurate, timely, and objective information. © 2026 NuvexMedia LLC. All rights reserved. This content is for informational purposes only and should not be considered legal, tax, investment, financial, or other professional advice.
