Britain’s FTSE 100 dropped sharply in Friday trading as a Wall Street technology sell-off triggered by the midterms rippled across Asia and into European markets. The United Kingdom’s main index fell 2.1 percent in the morning session. Overnight, Japan’s Nikkei had already plunged six percent after U.S. equity losses spread eastward.
Newly elected Democrat governors and state and national lawmakers have signaled opposition to the rapid expansion of large data centers that house the semiconductor chips required for artificial intelligence systems. Markets treated the shift as a material risk to continued AI infrastructure growth.
In the United States on Thursday, the tech-heavy Nasdaq 100 fell as much as 6.4 percent—its steepest single-day decline since March 2020. Semiconductor stocks led the losses. The index now sits 11.9 percent below its recent record high. The broader S&P 500 dropped 4.4 percent, its worst session since President Trump’s April 2025 tariff announcement. That one-day wipeout erased the previous session’s gains, which had been the strongest in three months.
Chipmakers and AI Investors Take the Brunt.
Semiconductor names absorbed the heaviest damage. In South Korea, Samsung fell 6.4 percent, and SK Hynix declined 10.4 percent. Japan’s Kioxia dropped 8.7 percent, while Taiwan’s TSMC lost 4.7 percent. SoftBank, a major backer of Arm and a prominent AI investor, fell 10.8 percent.
These companies sit at the center of the physical infrastructure that powers current AI development. Any policy environment that slows data center construction or raises the cost and complexity of new capacity directly affects their order books and capital expenditure plans.
When America Sneezes, the World Catches a Cold.
The FTSE 100 has relatively modest direct exposure to pure technology and semiconductor names, yet it was still pulled lower. Traders cited concern that a slower pace of AI adoption would reduce expected gains in drug discovery and related pharmaceutical research. Shares in AstraZeneca and GSK ranked among the larger declines on the London market.
The episode illustrates how tightly linked global equity markets have become to the AI investment cycle. Even sectors that are not primarily technology-focused can reprice when investors revise expectations for the speed and scale of AI-related capital spending.
The Democrat midterm results introduced a concrete political variable into that calculation: a larger cohort of officials prepared to constrain or delay the construction and energy-intensive operation of the data centers that AI models currently require. Markets responded by marking down the companies most exposed to that infrastructure build-out and by transmitting the adjustment across time zones.
