The tech-heavy Nasdaq opened Thursday under a wave of red, shedding more than $3 trillion in market value within hours. A combination of election-driven policy anxiety and fears that the United States will tighten controls on large-scale AI data-center projects ignited a broad sell-off that rippled through chips, cloud providers, software firms and even gig-economy platforms.
Midterm results handed control of both the Senate and the House to the Democratic Party, and many of the newly elected officials have pledged to limit the rapid build-out of AI-focused facilities. Voters in key states expressed resistance to new data centers, citing concerns over power consumption and water usage. The market reaction was swift: the Nasdaq fell over 5 % by midday, its largest one-day drop since the April 2025 tariff announcement, while the Philadelphia Semiconductor Index slid more than 1,000 points, echoing the panic of March 2020.
Capex outlook reshaped by political headwinds
Analysts who previously expected the industry’s capital-expenditure (Capex) surge to peak in 2028 or 2029 now see an earlier inflection point. Dan Ives of Yorkville Ives wrote that the growth curve for big-tech Capex is likely to reach its apex in 2027, driven by a slowdown in data-center construction as companies hedge against regulatory risk. He estimates that 10 % of the 800-1,000 planned AI-centric facilities could be scrapped, with another 20 % facing protracted approval processes, especially in states like Texas, Georgia and Ohio.
Companies such as Alphabet, Microsoft, Amazon, Meta and Oracle have poured hundreds of billions of dollars into chips, servers and networking gear to fuel AI services. The new political landscape forces them to reconsider the geographical distribution of those investments; Meta’s Dina Powell McCormick recently warned that “building data centers in the U.S. is going to be harder,” prompting hyperscalers to explore overseas options as a risk-mitigation strategy.
Sector-by-sector fallout
Chip makers bore the brunt of the plunge. Micron, a top-three memory-chip producer, dropped roughly 14 %, while AMD mirrored the decline. The uncertainty surrounding energy-intensive data-center sites amplified concerns for semiconductors, a sector that has been a major beneficiary of AI-related spending. Simeon Wallis, CIO of Aprio Wealth Management, noted that the regulatory doubts in Texas, Georgia and Ohio “are reflected disproportionately in semiconductors.”
Neocloud providers—new entrants that have loaded up on debt to challenge Amazon and Google—were also hammered. CoreWeave slipped 9 % on Thursday and has been on track for an 18 % loss over two days. By contrast, established cloud leader Google fell a modest 1.6 %, underscoring how incumbents with diversified revenue streams are better insulated.
Software companies experienced mixed reactions. Salesforce and Snowflake fell 3.6 % and 6.4 % respectively, while design-tool maker Figma saw a steep 17 % drop despite posting stronger-than-expected Q3 revenue. The broader software sell-off reflects investors’ worries that slower data-center expansion will curb demand for enterprise SaaS platforms that sit atop AI workloads.
Even the gig-economy and streaming sectors were not spared. DoorDash, Uber, Spotify and Netflix each declined by several percentage points, illustrating how a tightening of AI-driven infrastructure budgets can echo across consumer-facing businesses that rely on sophisticated recommendation engines and real-time logistics.
Market sentiment and potential buying opportunities
Despite the turbulence, some market participants argue the decline may be overstated. Futures for the Nasdaq 100 rose 1.18 % this morning, suggesting a possible correction of the extreme sell-off. Jim Reid of Deutsche Bank highlighted a sector rotation that has favored consumer staples and healthcare, while the heavy weight of tech stocks continues to drag broader indices lower.
Yorkville Ives framed the episode as reminiscent of the March 2020 COVID-induced sell-off and the April 2025 “Liberation Day” drop, both of which later delivered substantial buying opportunities for resilient winners. The firm’s note, unusually devoid of bold caps-lock, concluded that the current dip could be a “golden buying opportunity” for investors willing to weather short-term volatility.
Overall, the landscape points to a more measured pace of AI infrastructure investment, with regulatory considerations injecting uncertainty into what had been a near-limitless expansion. Companies that can diversify geographically, secure alternative energy sources, or pivot to lower-capex AI models may emerge stronger, while those heavily leveraged on U.S. data-center growth could face continued pressure.
