The OpenAI revenue gap may be a measurement problem before it is a growth problem

OpenAI is reportedly seeking to raise at least $30 billion at a valuation of $1.4 trillion. According to Bloomberg, its annualized revenue reached approximately $50 billion at the end of September, with a target of at least $70 billion by December. For comparison, Anthropic reported $65 billion in annualized revenue at the end of July. However, these figures aren't necessarily directly comparable. AI companies use different methods to calculate annualized revenue, meaning reported differences may partly reflect how revenue is measured rather than actual differences in business performance. At $1.4 trillion, OpenAI's valuation represents roughly 28 times its September annualized revenue, or 20 times if its December target is met. Expansion into the corporate sector could support this growth, particularly as AI tools become essential to everyday business operations. But revenue growth also needs to be measured against the significant infrastructure and computing costs required to sustain it. Markets are already showing sensitivity to these expectations. Following reports that OpenAI's revenue was below some previous estimates, the Nasdaq 100 fell 1.4% yesterday, while the semiconductor-focused SOXX dropped 3.4%. The distinction matters beyond OpenAI. As AI valuations continue to rise, understanding how revenue is calculated, how sustainable it is, and how much funding is required to generate it becomes increasingly important.