EL7.AI
StocksMedium•30 October 2026•
3 min read

Nasdaq Composite falls 2.9% as concerns mount over returns on AI investments

Key Facts

1The Nasdaq Composite fell 2.9% on October 30.
2The Nasdaq Composite fell 7.8% from the record closing high it reached on October 6.
3Intel fell 28.6% after forecasting earnings for the final three months of the year below analysts’ estimates.
4Amazon used $42.4 billion in free cash flow and spent $94.8 billion on property and equipment in the twelve months preceding the report.
5Results from 82% of the 299 S&P 500 companies that had reported beat consensus estimates.

The Nasdaq Composite closed down 2.9% on October 30, as pressure on technology stocks broadened amid investor questions about returns on artificial intelligence spending. The S&P 500 fell 1.8%, its worst daily performance since June. Oliver Birch of Wealthspire said the market’s central debate this week was whether AI investments would generate a positive return, and how quickly. The Nasdaq Composite fell 7.8% from the record closing high it reached on October 6. The moves came amid mixed results, as companies were punished for disappointing forecasts even when some reported earnings exceeded analysts’ estimates.

Intel was among the biggest losers, falling 28.6% in its steepest drop since 1974. The decline came after the company forecast earnings for the final three months of the year below analysts’ expectations, despite reporting quarterly earnings that beat their estimates. In the chip sector, Nvidia fell 4.2% and AMD declined 10.9%. The broader semiconductor index also lost 7.2% during the session. The moves highlighted investors’ sensitivity to forecasts from companies tied to AI, as well as to the quarterly figures they reported.

Amazon’s spending added to the debate over how much financing AI infrastructure requires. The company said it had used $42.4 billion in free cash flow in the twelve months preceding the report. Its spending on property and equipment totaled $94.8 billion over the same period, most of it directed toward AI investments. J.P. Morgan forecast that global spending on AI infrastructure would exceed $1 trillion in 2027. The figures put spending levels at the heart of investor questions about when it will generate cash returns.

U.S. corporate results were not uniformly weak: 299 S&P 500 companies had reported results by October 30, and 82% of them beat consensus estimates. Analysts estimated the index’s third-quarter earnings growth at about 31.6% year over year. At the same time, stock moves underscored that beating earnings estimates does not necessarily dispel concerns about future forecasts or the scale of capital spending.

The yield on 10-year U.S. Treasuries fell 4.36 basis points to close at 4.945%, as investors moved into safe-haven assets. The simultaneous decline in stocks and rise in bonds reflected a flight to safety during the session, alongside a reassessment of technology stocks. Investors will next focus on company results scheduled for the coming weeks. Reuters reported that Apple would report results the following week, while Nvidia was scheduled to report in mid-November. Those announcements will come as debate centers on the scale of AI investment and how quickly it can translate into returns.