Tech Stocks Rebound as AI Spending Concerns Linger

US technology stocks recovered on Tuesday, Nov. 3, after a selloff driven by concern over spending on artificial intelligence. The rebound lifted the Nasdaq, but weakness in Apple and the index’s recent decline left the durability of the recovery open to question.

The Nasdaq gained 0.83% at the close, while the S&P 500 rose 0.37%, according to a report by Lauren Aratani carried by Yahoo Finance. The Dow fell 0.38%, with Apple down 1.9% after issuing a worse-than-expected margin forecast tied to higher memory-chip costs. Nvidia rose 2.3% following four declining sessions; Advanced Micro Devices, Broadcom and Micron Technology also advanced, the report said.

The differing moves highlight a tension for the sector. Spending on AI infrastructure can support demand for chips and related equipment, while higher component costs can squeeze companies that use those parts in their products. A recovery in chip shares therefore does not mean the cost pressure is evenly distributed across technology stocks.

A rebound after a sharp decline

The Nasdaq had finished Monday in correction territory, 10% below its Oct. 6 record close, according to the report. It also recorded its largest monthly decline since March 2025 in October. Tuesday’s gain ended a brief selloff that began the previous week, but a single positive session does not establish that the earlier losses have been recovered.

Nvidia’s rise was particularly notable because the company supplies processors used in AI computing. Its shares’ rebound after four down sessions offers one indication that selling pressure eased on Tuesday. The report also identified gains among other chipmakers, though it did not give their percentage moves. That limits conclusions about how broadly or evenly the recovery extended across the industry.

The Nasdaq and S&P 500 measure different baskets of stocks, and the larger gain in the tech-heavy Nasdaq is consistent with technology contributing to Tuesday’s recovery. The Dow’s decline provides a counterpoint: a positive session for major chipmakers did not translate into gains across all three major US indexes.

The AI spending test

AI infrastructure requires more than processors: memory, networking equipment, data centers and electricity all play a role. For suppliers, sustained orders can support revenue; for the companies building and operating infrastructure, the spending must ultimately be weighed against the returns generated by AI products and services.

Apple’s margin forecast illustrates a different side of the cost equation. Higher memory-chip costs can raise the expense of making devices, potentially putting pressure on margins if those costs are not offset elsewhere. A strong market for memory suppliers is not necessarily an unqualified benefit for device makers that purchase their components.

The next useful evidence will come from company earnings and forecasts: whether large AI customers maintain capital-spending plans, whether chip suppliers can fulfill demand, and whether businesses can turn that investment into revenue and cash flow. Those signals can diverge. Strong orders for hardware, for example, would not by themselves establish that the customers buying it are earning an adequate return.

Election and energy backdrop

Tuesday’s midterm elections did not appear to have a large immediate effect on Wall Street, according to the report. It noted expectations that Democrats could win at least a House majority and potentially gain Senate seats, raising the possibility of more AI regulation. Those were expectations, not confirmed results; the eventual composition of Congress and any legislation would be separate questions.

Oil prices also fell as potential negotiations involving Iran and Russia came into focus. Brent crude stood at $103 a barrel Tuesday, down from $117 at the end of October, the report said. Lower oil prices can ease a cost pressure for businesses and households, but the reported decline does not establish that oil was responsible for the tech rebound.

For the next phase of the market’s reassessment, the distinction is between a bounce in share prices and evidence that AI spending is producing sustainable returns. Company guidance on infrastructure budgets, component costs and margins will help clarify that balance, while the finalized election outcome will determine the starting point for any congressional debate over AI rules.