Asian Stocks Slip as OpenAI Revenue Concerns Shake Technology Markets

Asian stock markets fell on Friday, October 9, 2026, as investors reacted to conflicting reports about OpenAI’s revenue and questioned whether the enormous investments flowing into artificial intelligence would generate sufficient returns. Japan’s Nikkei 225 declined by around 1% during the session, while the broader MSCI Asia-Pacific index also slipped. Technology shares were among the main areas of weakness, reflecting concerns that companies supplying chips, cloud computing and data-centre infrastructure could face difficulties if AI businesses fail to generate revenue quickly enough to justify their spending. The sell-off followed a difficult session on Wall Street, where reports about OpenAI’s financial performance triggered renewed uncertainty across the technology sector.

The immediate trigger was a Financial Times report that OpenAI’s annualised revenue stood at approximately $50 billion at the end of September, around $20 billion below figures previously indicated in media reports. The disclosure raised questions about the company’s pace of growth and its ability to sustain the spending required to develop increasingly powerful AI models. OpenAI’s reported figures were subsequently discussed alongside a Bloomberg report stating that the company expects its annualised revenue to reach or exceed $70 billion by the end of 2026. These figures are not necessarily contradictory: the approximately $50 billion figure describes the reported September run rate, while $70 billion represents a year-end expectation. OpenAI had not publicly confirmed the reported figures.

The distinction between current revenue and projected revenue became especially important for investors assessing the value of companies linked to the AI boom. Annualised revenue is generally calculated by taking revenue from a shorter period, such as a month, and projecting it across a full year. Although this method can illustrate the scale of a rapidly expanding business, it does not represent the same thing as revenue already earned over a complete financial year. Growth rates, future expectations and differences in accounting methods can therefore influence how investors interpret the numbers. OpenAI reportedly excludes revenue associated with certain cloud-partner arrangements from its calculations, whereas rival Anthropic includes sales through partners such as Amazon Web Services and Google Cloud. Those differences make direct comparisons between the companies more complicated.

The uncertainty also affected companies that supply the hardware and infrastructure required to run AI systems. Nvidia and other semiconductor-related stocks came under pressure as investors reconsidered whether demand for AI computing would continue growing at the pace previously anticipated. SoftBank Group, a major investor in OpenAI, also declined during the market reaction. The concern extends beyond chipmakers to data-centre operators, cloud-service providers and businesses raising large amounts of money to finance AI infrastructure. Building and operating advanced AI systems requires substantial spending on specialised processors, electricity, cooling systems and computing facilities. If revenue growth slows or customers become more cautious about purchasing AI services, some of these investments could take longer to generate acceptable returns.

However, the market reaction did not necessarily indicate that investors had lost confidence in artificial intelligence as a whole. Instead, it highlighted a growing demand for clearer financial evidence that AI-related revenue can support the industry’s enormous capital requirements. Asian technology shares recovered some ground after Bloomberg reported OpenAI’s expectation of reaching at least $70 billion in annualised revenue by year-end, demonstrating how sensitive markets have become to new information about the company. Investors are now likely to pay closer attention to corporate earnings, infrastructure spending and the financial performance of major AI developers. As OpenAI and Anthropic move towards potential public listings, more detailed disclosures could help investors evaluate their business models. Until then, uncertainty over revenue calculations, future growth and the cost of AI infrastructure is likely to remain an important influence on technology stocks.