AI Revenue Expectations Put Technology Stocks Under Pressure

US technology stocks came under pressure on Thursday, 8 October, after new information about OpenAI’s revenue raised questions about the financial returns from the artificial intelligence boom. The Nasdaq Composite dropped 1.3%, while the S&P 500 declined 0.5%. Semiconductor manufacturers and companies financing AI infrastructure recorded some of the session’s steepest losses.

The market subsequently recovered on Friday as investors reassessed the revenue figures and broader trading conditions. The Nasdaq Composite closed at 27,366.17, gaining 0.64%, while the S&P 500 advanced 0.58% to 7,811.54. The Dow Jones Industrial Average rose 0.83% to 51,655.18, according to Friday’s market results. Reuters and AP reported on the revenue concerns and subsequent market movements.

The recovery suggests that investors were reassessing the initial reaction, but it does not establish that concerns about AI valuations have disappeared.

Why OpenAI’s Revenue Figures Triggered Selling

The initial concern centred on OpenAI’s annualised revenue, which was reported at approximately $50 billion at the end of September. This was below the nearly $70 billion figure cited in some earlier reports, prompting investors to reconsider expectations for AI-related growth.

However, the difference does not necessarily indicate a sudden deterioration in demand. Reuters reported that the discrepancy largely reflects differences in how OpenAI and rival Anthropic account for revenue generated through cloud partners.

OpenAI generally recognises its share of revenue from certain partner arrangements, while Anthropic includes the gross value of some partner sales and records associated costs separately. Consequently, the two companies’ headline figures are not directly comparable.

Bloomberg subsequently reported that OpenAI expects its annualised revenue to reach or exceed $70 billion by the end of 2026, supported largely by enterprise demand. This is a forward-looking target, not confirmed revenue already earned. The distinction helped investors reassess the initial report without removing the underlying questions about AI profitability and spending.

Semiconductor Stocks Lead the Decline

The sell-off was particularly pronounced among companies exposed to AI computing infrastructure. On Thursday, the Philadelphia Semiconductor Index fell 3.4%, reflecting weakness across the chip sector.

Individual stocks recorded substantial losses:

  • Nvidia: fell 2.9%.
  • Advanced Micro Devices: declined 3.9%.
  • Micron Technology: dropped 4.8%.
  • Broadcom: lost 4.4%.
  • Oracle: fell 5.5%.

These movements illustrate how expectations surrounding OpenAI can influence a much broader group of publicly traded companies. Semiconductor manufacturers supply the computing power required for AI development, while infrastructure providers and technology companies invest heavily in data centres, chips and cloud capacity.

If investors become less confident that AI customers can generate sufficient revenue to support these investments, valuations across the supply chain can come under pressure. Rising borrowing costs can compound the problem by making capital-intensive projects more expensive.

Why the Friday Rebound Matters

US stocks recovered on Friday, 9 October, as technology shares regained ground and oil prices eased. The Nasdaq Composite rose 0.64%, while the S&P 500 gained approximately 0.6%.

The rebound followed reports that OpenAI expects annualised revenue to reach $70 billion or more by year-end. However, other factors also influenced markets, including changing oil prices, Treasury yields and expectations ahead of the next US corporate earnings reports.

The recovery therefore reflects a combination of changing sentiment and wider market influences, rather than proof that the AI sector’s concerns have been resolved.

For traders, the distinction matters. A recovery after a sharp decline can reflect short-term position adjustments, fresh information or renewed risk appetite. Further confirmation would require sustained buying and stronger performance across AI-related stocks.

What the Developments Mean for Traders

The immediate focus is whether the Nasdaq and semiconductor shares can maintain their recovery as investors examine company earnings and AI spending plans.

Three factors deserve particular attention:

  • Revenue quality: Investors need evidence that AI demand is translating into sustainable revenue and profitability, rather than relying solely on ambitious growth targets.
  • Financing costs: Elevated Treasury yields can weigh on growth-stock valuations and increase the cost of funding AI infrastructure.
  • Corporate earnings: Upcoming earnings reports may reveal whether technology companies can justify their investment commitments through stronger revenue, margins and cash flow.

The central issue is no longer just how quickly AI adoption is expanding. Markets are increasingly testing whether the financial returns can support the scale of investment.

For now, Friday’s rebound has eased some immediate selling pressure, but the next direction for AI stocks will depend on incoming evidence about growth, profitability and funding conditions.