The technology sector took a sharp hit on Thursday as investors reacted to reports that OpenAI’s actual earnings are significantly lower than previous estimates suggested. According to the Financial Times, the creator of ChatGPT informed investors that its annualized revenue is approaching 50 billion dollars, a figure that falls roughly 20 billion dollars short of earlier media reports. This revelation sparked immediate concern among shareholders who are increasingly anxious about whether the massive financial investments fueling the artificial intelligence boom can actually translate into sustainable profits.

Market reaction was swift and severe, with the Nasdaq Composite plunging 1.25 percent in its worst single session since mid August. The broader S&P 500 also dipped, dragged down heavily by losses in the tech space. Major players providing the hardware and infrastructure for AI felt the brunt of the sell off, with Nvidia, Intel, and Oracle all seeing their share prices slide as traders questioned if the projected demand for AI tools was beginning to plateau.

Industry insiders suggest the confusion may have stemmed from how different companies calculate their income. While some figures attributed to OpenAI were based on gross revenue through cloud providers, similar to how competitor Anthropic reports its numbers, OpenAI focuses on net revenue. Despite these nuances, analysts warn that any perceived crack in the growth narrative for AI could create ripple effects across the entire supply chain, especially since much of the current market stability relies almost entirely on a handful of high flying tech stocks.

The timing comes at a sensitive moment for the industry as several major players eye future public offerings. While Sam Altman has pushed back OpenAI’s planned IPO until next year due to safety concerns, competitors like Anthropic are still moving toward their own debuts with staggering valuation targets. For now, however, Thursday’s volatility serves as a reminder that investor patience may be wearing thin if the promised gold mine of generative AI does not produce concrete returns soon.