OpenAI Revenue Run Rate Tops $40 Billion
On August 13, 2026, Bloomberg reported that OpenAI's annualized revenue run rate had exceeded $40 billion, roughly double its level at the end of 2025. The reported acceleration was driven in part by AI coding software, subscriptions, advertising, and continued consumer-business growth, while OpenAI declined to comment.
OpenAI's annualized revenue run rate has exceeded $40 billion, roughly twice its level at the end of 2025, Bloomberg reported on August 13, citing people familiar with the company's performance. The figure comes as public reporting links the company to a prospective Wall Street listing. Bloomberg reported that OpenAI declined to comment.
According to Bloomberg's sources, growth in OpenAI's AI coding software contributed to the acceleration, alongside subscription sales and a nascent advertising business. The report also said the company's core consumer business continued to grow. PYMNTS, which cited Bloomberg's reporting, said an internal announcement shared by OpenAI cofounder and President Greg Brockman indicated that annual revenue run rate rose more than 20% month over month in July.
Revenue growth and the IPO context
PYMNTS reported that OpenAI and rival Anthropic have both filed confidential paperwork to go public, and that Anthropic could reach public markets as soon as the fall. The outlet also reported that Anthropic said in May that its run-rate revenue had crossed $47 billion, while noting Bloomberg's caveat that the companies may calculate the metric differently.
The $40 billion figure is a run-rate measure, meaning it annualizes current revenue performance rather than reporting audited annual revenue or profitability. That distinction matters for practitioners and enterprise buyers assessing the commercial maturity of AI providers: rapid adoption across consumer subscriptions, developer tools, and business products can coexist with substantial model-training and inference costs.
PYMNTS also reported growing demand for OpenAI agent products, including Codex for coding and ChatGPT Work, and said the company had reduced prices on some models amid competition for cost-conscious customers. Publicly reported revenue growth in coding products is especially notable because developer-facing AI usage can generate recurring software revenue while also exposing providers to high inference demand. Across comparable AI platforms, the balance between usage growth, serving costs, and pricing pressure remains a central operational question.
Key Points
- 1Bloomberg reports OpenAI's annualized revenue run rate surpassed $40 billion, roughly doubling from late 2025 and strengthening its reported IPO backdrop.
- 2Reported growth spans coding tools, subscriptions, advertising, and consumer products, illustrating how AI vendors are pursuing multiple monetization channels.
- 3Run-rate growth does not establish profitability; comparable AI providers still face the industry-wide challenge of balancing inference costs against pricing pressure.
Scoring Rationale
The reported $40 billion run rate is a major commercial milestone for a leading AI platform and is relevant to enterprise procurement, developer-tool adoption, and AI market economics. It does not introduce a new model or technical capability, but it provides consequential evidence of AI product monetization at scale.
Sources
Public references used for this report.
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