OpenAI plans to reach annual revenue of over $40 billion, roughly double the end-2025 figure, when the company recorded $20 billion on an annualized run rate. Bloomberg reported this on August 13, citing informed sources. For comparison: competitor Anthropic announced $47 billion in annualized revenue back in May 2026.
What happened
OpenAI President Greg Brockman stated internally that revenue grew by more than 20% month-over-month in July. The main growth drivers are cited as the GPT-5.6 model lineup, the ChatGPT Work agent for business tasks, and the AI coding tool Codex. According to Quartz, annualized revenue for July already exceeded OpenAI's total revenue for the second quarter.
Context
According to audited 2025 data, OpenAI reported a net loss of $38.5 billion on revenue of $13.07 billion. Competition is intensifying: Anthropic has surpassed OpenAI in both revenue and valuation at $965 billion. Chinese companies DeepSeek and Moonshot AI are attracting customers with cheaper models. OpenAI filed a confidential IPO application with the SEC in June 2026, targeting a 2027 listing at a $1 trillion valuation.
Why this matters for the industry
The $40 billion figure confirms the scale of generative AI commercialization: the market for paid AI services is moving from the category of experiments into the mainstream of corporate IT budgets. ChatGPT Work and Codex as key drivers show that the market is ready to pay for agentic workflows and AI developer tools — this is a signal for builders that infrastructure for multi-agent systems and API integrations is commercially viable. However, the extreme gap between revenue and losses means that inference economics still don't add up, creating a window for startups that find niches with better unit economics.
Why this matters for users
$40 billion a year is faster than any major tech startup in history has reached such a scale. If Bloomberg's figure finds independent confirmation, OpenAI's planned IPO could become one of the largest of the decade. Increased competition and the expansion of the ChatGPT Work API will lead to lower API call prices and open up opportunities for creating custom agentic workflows. Startups that depend on API access to GPT as their main competitive advantage should assess the risks — value is shifting toward agents, integrations, and domain expertise.
What is still unknown / limitations
The revenue announcement contains no technical information about the GPT-5.6 model lineup, ChatGPT Work, or Codex — no architectures, benchmarks, or training details. Revenue growth may reflect distribution and marketing as much as actual improvements in model capabilities. Without data on inference costs, latency, and infrastructure efficiency, it is impossible to assess whether the economics work at the unit level. Independent confirmation of Bloomberg's figures is currently absent.
Sources
Author
Look at AI, editorial team