Midterm Shock Slams AI Stocks as Data Center Buildout Turns Into a 'War of Attrition'
AI stocks plunged after the midterms: Nvidia -9.3%, AMD -17.3%, Micron -17.5%. Analysts say Democrats' win threatens 800-1,000 planned US data centers.

Why it matters
- Nvidia fell 9.3% and Micron 17.5% in Thursday's post-midterm tech sell-off.
- At least 46 AI data center projects worth over $170 billion across 20 states were blocked or stalled from January 2024 to May 2026 (IDCA).
- Goldman Sachs estimates AI-related capital spending of about $7.6 trillion from 2026 through 2031.
- Dan Ives now expects Big Tech capex growth to peak in 2027, up to two years earlier than his prior view.
- Dozens of local ballot measures on data center restrictions appeared in 10 states on Tuesday.
Nvidia lost 9.3% in a single session. That was Thursday's verdict from investors after the Democrats' stunning rout of the Republicans in this week's midterms — a result that Wall Street now sees as a potential roadblock to the massive buildout of artificial intelligence data centers across the United States.
The sell-off was broad and brutal. AMD shed 17.3%, Micron fell 17.5%, Broadcom dropped 10.4%, Tesla lost 10.8% and Microsoft slipped 3.6%, while SpaceX — private but closely tracked — took a 9.1% hit. The most valuable tech companies in the U.S. and Europe were hammered as investors reassessed what a Democrat-controlled Congress means for tech regulation and the AI boom. By Friday morning, U.S. tech stocks were showing signs of recovery. But the market blip is a warning of potentially rougher roads ahead.
Why did the midterms hit AI stocks so hard?
The answer runs through the data center. Kyle Rodda, senior financial market analyst at Capital.com, wrote in a note Thursday after the bell: "The tumble in tech stocks that took hold in the immediate aftermath of the US midterm elections resumed as investors contemplated what a Democrat-controlled Congress may mean for tech regulation and the overall AI boom."
Dan Ives, partner at Yorkville Ives & Co., put the stakes in even blunter terms in a Wednesday morning note. "For tech investors the big focus is will these mid-term elections slow the pace of the planned 800 to 1,000 datacenters across the US fueling the AI Revolution…the answer in our view is a clear YES," he wrote. Democrats taking control, particularly over the Senate, will create some major hurdles for AI over the next two years, Ives added.
The neoclouds — companies that sell AI computing power and are deeply involved in data center projects — were among the hardest hit on Thursday. Nebius dropped 15%, Iren fell 17% and CoreWeave lost 10%. These firms live and die by the AI buildout. When the political ground shifts under data center construction, their valuations move fastest.
How much local resistance already exists?
Opposition to data centers in the U.S. is a long-standing issue, and the numbers are striking. Between January 2024 and May 2026, at least 46 AI data center projects across 20 U.S. states, representing more than $170 billion in announced investment, were blocked, withdrawn or stalled following community opposition, according to research by the think tank International Data Center Authority (IDCA).
The midterms added a new layer. There were dozens of local ballot measures in 10 states up for a vote on Tuesday that would place restrictions on data center construction in different ways, CNBC reported on Wednesday. That is local politics directly constraining national infrastructure ambitions, and it's not going away.
Rodda framed the timing as especially bad. "The regulatory and political risks arise at a time when the proverbial AI trade was already on shakier foundations," he said. Earnings season had been an "overall disappointment," he added, with Magnificent Seven results so far "undershooting growth expectations and flashing warning signs that the pace of AI spending is slowing down."
Now, Rodda wrote, the risk that the investment boom could be slowed further "by measures as potentially disruptive as moratoriums on new data center construction, investors are rushing to the exits on so-called AI trades."
What does $7.6 trillion have to do with it?
The scale of projected AI infrastructure spending is eye-watering. Goldman Sachs estimates that AI-related capital spending could total about $7.6 trillion from 2026 through 2031, across computing, data centers and power. That is the pool of capital now exposed to political risk in Washington and in county courthouses across the country.
Heading into the election, AI stocks were already looking shaky on Wall Street. Chipmakers, neoclouds and other data center-related companies sold off in October on concerns about rising interest rates and overspending. Many hyperscalers have turned cash flow negative as they spend hundreds of billions of dollars on AI infrastructure — a detail that matters enormously when financing conditions tighten.
Dominique Toublan, head of U.S. credit strategy at Barclays Investment Bank, captured the structural shift in a Wednesday note. "AI pushback is bipartisan but local, making the buildout pricier rather than stalling it," she said. And she offered the phrase that now hangs over the entire sector: "The AI race shifts from a prisoner's dilemma to a war of attrition: scarce power favors the biggest balance sheets."
In a war of attrition, the giants win. Scarce power and pricier construction favor companies like Microsoft and Meta that can absorb the costs, while smaller neoclouds and startups face a much harder road.
When does Big Tech spending peak?
By Thursday morning, after speaking to investors over the previous 24 hours, Ives said it was a confusing time for Wall Street tech backers trying to "discern the poker game in the Beltway and how this will truly impact the AI Revolution buildout."
His conclusion carries a hard date. "Putting all the pieces together we believe Big Tech capex growth rate now peaks in 2027 vs our previous view that would not happen until 2028/2029," he wrote. That pulls forward the expected peak of the AI spending cycle by as much as two years — a revision that ripples through every semiconductor order, power contract and data center lease in the pipeline.
What else moved this week?
The news edit from the week underscores how the AI story now cuts across sectors and borders:
- Chinese AI lab Moonshot turned to Europe for Nvidia Blackwell access amid U.S.-China export curbs, sources tell CNBC.
- CrowdStrike launched an AI kill switch that it says can stop internal agents that go rogue.
- Meta is seeking to raise up to $25 billion in a debt sale as AI spending jumps.
- Brookfield is planning a $27 billion AI data center at a UK power station.
- Elon Musk's Tesla and SpaceX lost over $420 billion in combined market cap after the midterms.
- Blue Origin pushed its launch to January 2027 as it races to rebuild a damaged launchpad.
The midterm wave reaches beyond data centers, too. Democrats' sweep of Congress likely resets the political calculus for crypto, CNBC's Tanaya Macheel writes. The result could usher in a more adversarial approach in Washington and push industry-friendly legislation like the Clarity Act to the back burner.
The through-line is political risk arriving exactly when the AI trade was already stretched thin. If Ives is right that capex growth peaks in 2027, the next two years of Democratic control in Congress will overlap with the most capital-intensive phase of the buildout — meaning the poker game in the Beltway is only beginning.
Source: CNBC Tech
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Market editor covering technology and product news in artificial intelligence and machine learning at AI In Context.
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