Wall Street tumble linked to AI sector as Democrats seize Congress and governorships
U.S. markets fell sharply after the midterm elections gave Democrats control of Congress and most governorships, hitting AI-related stocks hard while prompting concerns over data-centre development and funding stresses.
Wall Street experienced a $4.7 trillion market decline on Thursday after the midterm elections gave Democrats control of both chambers of Congress and a majority of state governorships. The sell-off was led by shares tied to artificial-intelligence (AI) and data-centre businesses, which had been a focus of Democratic campaign criticism over local impacts such as power use and water consumption.
The shift in political power also altered the landscape for data-centre expansion, especially in Texas, where a newly elected Democratic governor and senator oppose unfettered development. Analysts note that a slowdown in data-centre construction could curb AI spending, potentially easing financing pressures on the sector.
Investors priced in these risks, with the overall market down 4.3 percent, the Nasdaq falling 5.5 percent, and the Philadelphia Semiconductor Index dropping more than 11 percent. The so-called “Magnificent Seven” tech giants declined about 4.5 percent, while AI-focused cloud providers and chipmakers saw steeper losses.
"The funding of the AI boom was already showing increasing signs of stress," the article observes, citing rising bond yields and higher credit-default-swap costs for major hyperscalers and companies such as SpaceX.
The Bank for International Settlements reports that over half of AI investment originates from other AI firms, with nearly half of cloud-capacity and chip deals driven by supply-chain considerations, underscoring the sector’s interconnected financing.
The market also reacted to a personal scandal involving Nvidia’s co-founder Jensen Huang, whose admission of an extramarital affair with a woman under U.S. investigation has triggered a board review and added uncertainty for the company that underpins much of AI financing.
While the turmoil has battered AI-related equities, some analysts suggest a slower, more sustainable pace of data-centre build-out could improve the financial footing of hyperscalers, though it may disadvantage frontier AI labs and chipmakers that rely on rapid growth.
Overall, the post-election environment appears to be reshaping expectations for AI development, funding availability, and regulatory oversight.