AI optimism met a hard reality check Thursday. US stock indexes closed lower after a Financial Times report said OpenAI’s revenue was sharply below figures previously published by other outlets, raising fresh questions about the strength of the growth narrative supporting elevated technology valuations.

The retreat was especially important for momentum traders: the S&P 500 and Nasdaq Composite had reached records earlier, but a chip-stock rebound failed to hold as rising bond yields and oil-price volatility changed the market’s tone. The message was clear, even if the broader AI thesis remains intact: leadership built on expectations can weaken quickly when the underlying numbers become less certain.

CNBC reported that both the S&P 500 and Nasdaq Composite closed lower, even as semiconductor stocks attempted to rebound. That combination matters. When chip stocks cannot sustain a recovery while the major indexes are pulling back from records, it suggests that market leadership is facing a test rather than enjoying a routine pause. Traders monitoring US-listed technology and semiconductor stocks are likely to focus on whether Nasdaq leadership can regain traction or whether skepticism spreads across the momentum complex.

The Financial Times report is not, by itself, proof that AI demand is weakening. The reported issue is a discrepancy: OpenAI revenue was described as sharply below figures previously published by other outlets. That distinction is critical. The market is not simply reacting to one company’s reported revenue; it is reassessing how confidently investors can translate the AI narrative into measurable commercial growth.

That is where valuation pressure enters the discussion. Technology shares can command elevated valuations when investors believe future growth will be substantial, durable and increasingly visible. A revenue question introduces uncertainty into each part of that assumption. If reported figures vary materially, investors may demand greater clarity before extending the same confidence to the wider AI ecosystem. This is analysis, not a claim that the sector’s growth has ended.

Bond yields added another layer of pressure. Rising yields can make long-duration technology valuations more difficult for markets to support because expected future growth is being assessed against a less forgiving financial backdrop. Oil-price volatility further complicated the session, adding uncertainty to an already sensitive macroeconomic picture. Together, those forces helped turn an early record-setting tone into a lower close.

For momentum traders, the immediate issue is leadership confirmation. A rebound in chip stocks that fails while the Nasdaq Composite closes lower may indicate that buyers are becoming more selective. The next question is whether this episode remains contained within a volatile session or develops into a broader challenge to technology momentum. The available facts do not establish that outcome, but they do show why a single revenue discrepancy can matter when expectations are stretched.

The market’s reaction can be tracked through CNBC’s market coverage, while broader US stock-market data is available from Trading Economics. For now, the record highs reached earlier, followed by lower closes in both major indexes, frame the central tension: AI enthusiasm remains powerful, but confidence is no longer automatic.