OpenAI Revenue Miss Triggers AI Stock Selloff
OpenAI's $50 billion annualized revenue figure, lower than previously reported $68 billion, sparks broad decline across AI chipmakers and cloud providers.
OpenAI's $50 billion annualized revenue figure, lower than previously reported $68 billion, sparks broad decline across AI chipmakers and cloud providers.
The artificial intelligence sector took a sharp hit on Thursday as investors digested disappointing revenue details from OpenAI. Shares of Nvidia, Oracle, CoreWeave and other AI-focused companies tumbled after the market learned that OpenAI’s annualized revenue stands at roughly $50 billion as of late September, significantly below the $68 billion figure widely circulated just weeks earlier.
The discrepancy matters more than it might seem on the surface. According to sources familiar with the matter, the higher $68 billion figure included gross revenue from OpenAI’s partners, making it an apples-to-oranges comparison. The corrected $50 billion represents OpenAI’s actual revenue and provides a clearer picture for investors evaluating the company against rivals like Anthropic.
The selloff was swift and broad. Nvidia shares fell 3%, while Oracle dropped nearly 6%. CoreWeave, a company heavily dependent on AI infrastructure growth, plummeted nearly 8%. Advanced Micro Devices, Broadcom, Intel and Super Micro Computer all fell between 4% and 5%, suggesting that investors fear demand for AI infrastructure may not justify current valuations.
It’s worth noting that despite the revenue miss, OpenAI still demonstrated impressive growth metrics. The company reported 77% total run rate growth during the third quarter, with enterprise business growth hitting 107% for the same period. These numbers would be extraordinary in nearly any other industry, yet they weren’t enough to offset investor disappointment about the revenue baseline.
OpenAI faces mounting pressure to justify its $852 billion valuation as it prepares for what many expect to be a blockbuster initial public offering. The company confidentially filed its IPO prospectus in June, with executives signaling a 2027 debut. CEO Sam Altman muddied those waters in September, however, stating that “right now would be an ill-advised moment to go public,” citing ongoing AI safety concerns.
The company is currently in early stage discussions about a new funding round that could raise approximately $30 billion. This comes after OpenAI closed a historic $122 billion funding round in March. Chief Financial Officer Sarah Friar recently told media that the company remains “very well capitalized,” but continued fundraising suggests OpenAI believes it needs more runway before going public.
OpenAI’s revenue challenges cast a shadow over the entire AI startup ecosystem. Anthropic, OpenAI’s chief rival, is also preparing for an IPO and reportedly seeking a $2 trillion valuation. Yet independent financial researcher New Constructs called Anthropic’s upcoming offering “the most ridiculous IPO of 2026,” valuing the company at just $150 billion.
The skepticism appears warranted. According to Reuters, which reviewed a leaked copy of Anthropic’s prospectus, the company generated just $4.6 billion in revenue during 2025 while racking up a staggering $42 billion net loss. Anthropic did report annualized revenue run rate of $65 billion at the end of July, but similar to OpenAI’s earlier reporting, such figures require careful scrutiny.
Both companies face mounting pressure over AI safety issues. OpenAI recently pulled plans to launch GPT-6.1 Astra, saying the model failed to meet its safety standards. A growing chorus of researchers has warned that current AI systems could potentially cause catastrophic harm, adding regulatory and reputational risks that investors must now factor into their valuations.
The Thursday market reaction suggests investors are beginning to reckon with these realities. The gap between AI companies’ growth narratives and their fundamental business economics is narrowing. As these companies race toward IPOs, they’ll need to demonstrate not just growth, but profitability, responsible scaling, and genuine technological advantages over competitors.
For now, the broader AI infrastructure sector faces questions about whether the explosive growth and valuations have outpaced actual market demand and revenue generation.
Source: CNBC