AI sector declines amid regulatory concerns and profitability doubts

Huo Xing Finance reports: On November 5, AI-related assets in U.S. equities plunged sharply during trading, with multiple leading stocks dropping over 10%. According to data from the BIT stock platform, the S&P 500 fell by 2%, the Dow Jones dropped nearly 1%, and the Nasdaq declined more than 3.5%. The downturn in the U.S. storage sector intensified further, with SanDisk falling over 17% and Micron dropping more than 12%. This sell-off is not an isolated daily event but rather a continuation and deepening of the recent correction in AI and semiconductor stocks since late October, driven by shifting policy expectations following the election. Key reasons for the market’s decline are summarized below.

Wall Street has increasingly questioned whether the massive AI infrastructure investments by tech giants can generate commensurate revenue and profits. JPMorgan estimates global AI-related spending this year at approximately $900 billion, potentially reaching $5.5 trillion cumulatively by 2030. Trefis notes that while Amazon and Alphabet still claim strong AI demand, the valuations investors are willing to pay for growth have clearly declined: “What has changed is not demand, but the price people are willing to pay for this bill.” Ted Parkhill, founder of Incline Investment Management, stated that the market is shifting from AI’s promise to AI’s price tag.

Earnings reports and guidance have amplified concerns. According to Reuters analysis, recent results and outlooks from Alphabet, Amazon, and Intel have disappointed investors: Alphabet posted its largest single-day drop since its IPO after missing expectations on advertising and search revenue; Intel fell nearly 29% in a single day after issuing weak guidance. Around October 30, the Nasdaq 100 declined approximately 3.5%, with semiconductor-related stocks experiencing even steeper single-day losses. The S&P technology sector fell about 6.8% overall in October. Meanwhile, institutional investors are closely monitoring the high ratio of capital expenditures to operating cash flow among hyperscale cloud providers, as well as the debt-driven expansion model of some new cloud (neocloud) companies. Data such as Amazon’s negative rolling free cash flow has been repeatedly cited, raising market concerns that a slowdown in downstream spending could impact orders for suppliers like NVIDIA.

Valuation pressures and capital reallocation are also contributing. The Nasdaq 100 had already fallen more than 10% from its October 6 peak by November 3, marking its third technical correction of the year. Over the past month, significant declines were seen in Intel, CoreWeave, Marvell, AMD, and NVIDIA, while Apple and Microsoft held up relatively well—or even hit new highs—indicating that selling pressure has been concentrated on stocks most dependent on current AI spending intensity. The 10-year U.S. Treasury yield remains near 4.9%, further pressuring the valuation of long-duration growth stocks. After the Democratic Party’s decisive midterm election victory on November 4, the Dow surged over 3%, yet NVIDIA, Tesla, and stocks in the data center and power equipment chains declined逆势—showing a clear rotation of capital away from AI infrastructure toward other sectors.

Policy and local regulatory constraints form another key theme. After regaining control of Congress, Democrats have raised market fears that federal and state-level scrutiny over data center approvals, electricity usage, and community impact will intensify. In several key races—including Texas—campaign platforms included proposals to “suspend or pause data center construction.” UBS analysts estimate that approximately 30% of projected U.S. data center capacity additions by 2028 could face delays due to potential construction halts.

Following their congressional victory, regulatory narratives have further intensified. The day after winning, Democratic Congresswoman Yassamin Ansari publicly called for a pause on advanced AI research and stronger industry oversight upon taking office—including a ban on superintelligent AI. This proposal had previously been codified into legislation: In September, Independent Senator Bernie Sanders and Democratic Representative Greg Casar jointly introduced the “Ban on Artificial Superintelligence Act,” with Ansari, Ro Khanna, and other Democratic lawmakers co-sponsoring it. The bill mandates a halt to training, modifying, or fine-tuning advanced AI systems requiring 10²⁵ operations, and prohibits deployment of unreleased systems until a new federal AI regulatory body establishes safety rules; for superintelligent AI surpassing human capabilities, it demands a permanent ban. Although Democrats are expected to control both chambers by January 2027, internal party consensus remains divided on the scope, duration of the pause, and whether to permanently ban superintelligence—even if passed by both chambers, such legislation may still face a presidential veto.

On the individual stock front, Qualcomm released its quarterly earnings after hours on November 4: revenue and EPS slightly exceeded expectations, but its guidance for next quarter was weak due to year-over-year declines in mobile chip sales; its stock plunged after hours and continued falling the next day, further weighing on semiconductor sentiment. The market is now awaiting NVIDIA’s earnings report around November 17, which is seen as a critical test of downstream order trends and capital expenditure narratives.

Overall, this round of AI market correction is driven by a confluence of factors: skepticism over returns and financing; earnings and guidance disappointments; interest rate-driven repricing of valuations; and post-election expectations regarding infrastructure and regulation. The sharp intraday decline on November 5 reflects a concentrated release of these accumulated concerns—not a reaction to any single news event.