What happened to AI stocks after the midterms?

The Democratic Party's sweeping victory in the November 2026 US midterm elections triggered a major selloff in AI and technology stocks. The Nasdaq, home to tech giants including Alphabet, Nvidia, Meta and Apple, saw steep declines on Thursday November 6 as investors priced in the risk of tighter regulation and data center construction restrictions.

"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," wrote Kyle Rodda, senior financial market analyst at Capital.com, in a note after the Thursday closing bell, as reported by CNBC.

The selloff hit chipmakers hardest. Nvidia lost 9.3% in a single session. AMD shed 17.3%. Broadcom fell 10.4%. Memory manufacturer Micron dropped 17.5%. Microsoft declined 3.6%. Tesla fell 10.8% and SpaceX lost 9.1%.

Neocloud providers, companies that lease AI computing power and are deeply involved in massive data center projects, were hit particularly hard. Shares of Nebius dropped 15%, Iren fell 17%, and CoreWeave declined 10% on Thursday, CNBC reported.

By Friday morning, US tech stocks showed some signs of recovery, but the market blip is widely seen as a warning of potentially rougher roads ahead for the AI boom in America.

Why did the elections trigger a tech selloff?

A number of leading Democrats campaigned against the unhindered expansion of data centers, which have underpinned the growth of artificial intelligence. There were dozens of local ballot measures across 10 states up for a vote on Tuesday that would place restrictions on data center construction in different ways, according to CNBC's reporting.

"The regulatory and political risks arise at a time when the proverbial AI trade was already on shakier foundations," Rodda added. Earnings season had been an "overall disappointment" for the markets, with Magnificent Seven results "undershooting growth expectations and flashing warning signs that the pace of AI spending is slowing down."

The fear, Rodda wrote in his note, is 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."

Texas governor-elect Gina Hinojosa, a Democrat who won the race in a once reliably Republican state, campaigned specifically on a moratorium on new data center construction. Her win could present opposition to tech billionaire Elon Musk, who has moved large parts of SpaceX and Tesla's operations to the state and spent nearly $450 million backing Republican campaigns in the midterms, according to the BBC.

James Talarico, who won the Senate race in Texas, said the country needs to protect its AI leadership while grappling with how the technology affects work and education, and called for clear consistent laws to protect Americans, according to the BBC.

How much data center construction is already blocked?

Opposition to data centers in the US is a long-standing issue that predates the midterms. Between January 2024 and May 2026, at least 46 AI data center projects across 20 US 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), as cited by CNBC.

A Gallup poll published in May 2026 showed 71% of Americans would oppose the building of a data center in their community, compared to 53% who would oppose a nuclear power station in their area, the BBC reported.

"AI pushback is bipartisan but local, making the buildout pricier rather than stalling it," said Dominique Toublan, head of US credit strategy at Barclays Investment Bank, in a note quoted by CNBC. "The AI race shifts from a prisoner's dilemma to a war of attrition: scarce power favors the biggest balance sheets."

How does this affect the long-term AI investment outlook?

Goldman Sachs estimates that AI-related capital spending could total about $7.6 trillion from 2026 through 2031, across computing, data centers and power, according to CNBC. But heading into the election, AI stocks were already showing signs of weakness.

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.

Dan Ives, partner at Yorkville Ives & Co., told CNBC: "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."

Nandini Roy Choudhury of Future Market Insights told the BBC that she expects investors will become more selective, favoring firms with stronger balance sheets. "There is unlikely to be an immediate widespread recovery in tech stocks as traders are likely to be more selective," she said.

Tudor Brown, co-founder of UK-based technology firm Arm Holdings, offered a more measured take to the BBC. Stock values are based on future earnings not present earnings, he argued, and valuations were inflated by expectations of almost infinite AI growth followed by a panic. He said there is a natural floor and that companies are still making significant money.

What happens next for AI regulation?

With control of both houses of Congress, Democrats are now expected to challenge the Trump administration's technology agenda more vigorously and introduce legislation that could curb the expansion of the AI industry. The BBC's analysis notes that many leading Democrats tapped into grassroots concerns about data centers' high consumption of water and electricity, which many feared would push up their household bills, as well as noise, land use, and general disruption.

Investor concerns extend beyond data centers. "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," Ives wrote, per CNBC. "The answer in our view is a clear YES."

Elon Musk's companies were among the hardest hit, with Tesla and SpaceX losing over $420 billion in combined market capitalization after the midterms, CNBC reported. The Tesla CEO had bet heavily against a Democratic win, spending nearly $450 million to back Republican campaigns according to the BBC.

Democrats' sweep also resets the calculus on other tech policy issues. "It could usher in a more adversarial approach in Washington and push industry-friendly legislation like the Clarity Act to the back burner," CNBC noted in its newsletter coverage of the broader implications.

Common questions

How much did AI stocks drop after the midterms?

Nvidia dropped 9.3%, AMD dropped 17.3%, Broadcom 10.4%, Micron 17.5%, Tesla 10.8%, and neocloud providers Nebius 15%, Iren 17%, and CoreWeave 10%. The broader Nasdaq index also fell sharply.

Why did the midterms affect AI stocks?

Democrats campaigned on restricting data center construction, with candidates like Texas governor-elect Gina Hinojosa pledging moratoriums. Investors priced in the risk of slower data center buildout, tighter regulation, and lower AI capital expenditure growth.

How much data center investment was already blocked before the midterms?

Between January 2024 and May 2026, at least 46 AI data center projects across 20 US states, representing more than $170 billion in announced investment, were blocked, withdrawn or stalled following community opposition, according to IDCA research.

Sources & further reading

  1. AI stocks hammered by midterm shock as data center buildout becomes a 'war of attrition' ↗
  2. Why the US midterms sparked an AI stock selloff ↗
  3. Global tech stocks wobble over AI regulation fears after midterms ↗
How this story was made

Written by Kristian Kostov with AI assistance and checked against the linked sources. Company performance claims are attributed to the company. Analysis reflects AiLookout’s interpretation; we have not independently tested the products discussed. The cover is an AI-generated editorial illustration, not a photograph or evidence of an actual event.

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