OpenAI’s Revenue Run Rate Nears $50 Billion, Falling Short of Earlier $70 Billion Estimates

OpenAI’s annualized revenue is nearing $50 billion, according to people familiar with the company’s performance, resetting expectations after recent reports placed the figure near $70 billion. The revised estimate still represents a major increase from the prior year, but it falls about $20 billion below the number circulated among investors and in recent media coverage.

The distinction matters because a revenue run rate annualizes current performance rather than reporting recognized revenue for a completed fiscal year. OpenAI has not publicly disclosed audited financial results supporting either figure in the material available for this report. Bloomberg first described the roughly $50 billion pace, while TechCrunch, Axios, Financial Post, Finance.yahoo, Mezha and Cryptobriefing carried versions of the lower estimate.

The higher figure emerged from recent reporting that put OpenAI’s annualized revenue near $70 billion. That estimate helped frame the company as a faster-growing rival to other heavily funded AI labs, including Anthropic, whose own reported revenue pace has drawn investor attention.

The newer estimate does not erase OpenAI’s growth story. It changes the scale investors use to judge that growth, along with comparisons involving Anthropic and the broader market for AI services. TechCrunch described the revision as a $20 billion reduction from the previously reported figure, while Axios and Yahoo Finance framed it as a correction or shortfall relative to prior estimates. Valueaddvc continued to use the $70 billion figure in its headline, showing that conflicting numbers remained in circulation.

AI-related stocks fell after the lower revenue figure circulated, linking OpenAI’s private-company finances to public-market valuations. Nvidia and Oracle were among the companies named in coverage of the selloff, and KXLY described broader weakness in technology stocks after the report.

The market reaction reflects OpenAI’s role in the spending chain that supports generative AI. A smaller revenue base affects how investors assess demand for computing capacity, cloud infrastructure and financing across the sector. It doesn't establish that demand has weakened, but it gives investors a lower sales figure against which to measure the cost of chips, data centers and model development. CNBC specifically tied declines in Nvidia, Oracle and other AI stocks to the revenue report.

The revised run rate puts greater pressure on OpenAI’s valuation narrative because private-company valuations often rely on forward growth assumptions rather than audited profit. Roic characterized the gap as a concern for investors, while other coverage focused on the numerical correction itself.

Revenue pace is only one part of the calculation. Investors also weigh subscription sales, enterprise contracts, usage-based income, computing costs and the capital required to train and operate increasingly large models. The available reporting does not provide a full breakdown of those categories, so the $50 billion figure cannot by itself establish profitability or cash flow. Still, a lower run rate reduces the revenue multiple implied by any given valuation and raises the standard for future growth.

OpenAI’s demand remains commercially significant even at a $50 billion annualized pace, but the revision shows how dependent AI stocks are on estimates from private companies. Nvidia supplies the processors used throughout AI infrastructure, while Oracle has built cloud capacity and commercial relationships around large AI workloads.

Microsoft, a major OpenAI partner, also sits within that ecosystem, although the cited coverage does not quantify how the revised figure affects its financial results. Anthropic remains a relevant comparison because its reported run rate has been used to benchmark OpenAI’s scale. For suppliers and cloud providers, the key issue is whether revenue growth converts into sustained computing demand after accounting for infrastructure costs and customer concentration.

OpenAI’s next public financial disclosures, investor communications or updated private-market reporting will determine whether the $50 billion figure becomes the accepted benchmark. The immediate story is a measurement reset, not a confirmed collapse in sales: the company is still described as running at a rapidly expanding annualized pace.

Investors will focus on whether the lower estimate reflects a change in calculation, slower growth, timing in contracts or a correction to an earlier report. They will also watch whether the stock-market reaction spreads into spending by cloud companies and chip buyers. Until OpenAI provides more detail, the $50 billion run rate is best treated as a reported snapshot that carries major valuation consequences but does not substitute for audited revenue.