What happened to AI stocks on Thursday?

The AI trade suffered its worst rout since the pandemic on Thursday as the full implications of Tuesday's Democratic midterm sweep became clear. The Nasdaq Composite plunged 5.5 percent to close at 24,315, entering correction territory at more than 10 percent below its record high set last month. The Dow Jones Industrial Average shed 1,833 points, or 3.4 percent, and the S&P 500 fell 4.3 percent to 7,353. All three major averages posted their worst day since April 2025.

The selloff erased the sharp gains from Wednesday's post-election rally, when the Dow had jumped more than 1,500 points on hopes of policy stability. By Thursday, the narrative had reversed sharply as investors priced in the regulatory implications of unified Democratic control of Congress combined with a wave of anti-data-center victories at the state and local level.

Technology and AI-linked stocks bore the brunt of the losses. The iShares Semiconductor ETF (SOXX) fell more than 11 percent, its worst day since the Covid-19 crash of March 2020. Chipmakers Broadcom dropped 10 percent, Nvidia fell 9 percent, and Qualcomm declined 8 percent even after reporting earnings that beat estimates but issued a weaker-than-expected outlook. Neocloud companies were hit even harder: CoreWeave lost 10 percent, Nebius slid 15 percent, and IREN fell 15 percent. Tesla dropped 11 percent.

The Nasdaq 100 lost approximately $1.8 trillion in market value in a single day, according to Reuters calculations, and broader AI-linked losses pushed the total to roughly $2.5 trillion as the selloff spread from semiconductors to software, hyperscalers, and infrastructure names. The Russell 2000 small-cap index fell 4.5 percent, also entering correction territory.

What caused the selloff?

Investors identified two primary triggers for the rout: the scope of the Democratic electoral victory and the overwhelming passage of local data center moratoria across the country. Together, they signaled that the era of unchecked AI infrastructure buildout is facing a political and regulatory reckoning that could dramatically slow capital expenditure growth.

On the federal level, Democrats won control of both the House and Senate, giving new momentum to restriction bills that had stalled under Republican leadership. Senator Bernie Sanders posted on X that 'Americans don’t want Big Tech oligarchs wrecking the environment, gutting jobs and threatening humanity’s future,' and renewed his call for a national data center moratorium. A bill co-sponsored by Sanders and Representative Alexandria Ocasio-Cortez now has a clear path to committee consideration.

At the state level, the results were even more striking. Forty-three out of 44 local data center moratorium measures on Tuesday's ballots passed, an NBC News exit poll found 76 percent of voters opposed data centers in their communities, and Democratic candidates in Texas, Georgia, Ohio, and Nevada who campaigned on restricting data center approvals won their governor's races. In Texas — the fastest-growing data center market in the country — governor-elect Gina Hinojosa said she plans to 'issue a moratorium — a ban — on all data center approvals until laws can be passed by the legislature to protect Texans.'

Chris Zaccarelli, chief investment officer at Northlight Asset Management, described the shift in market narrative succinctly: 'The narrative has shifted from “AI changes everything” to the “Blue wave means datacenters will never be built again in this country.”'

What did AI executives say about the results?

Meta President Dina Powell McCormick, speaking at the Wall Street Journal Tech conference in California on Wednesday, added to the anxiety by acknowledging that the political environment for data center construction has fundamentally changed. 'What I mean by that is to start new data center build-outs today in the United States will be very challenging,' McCormick said. Meta has emerged as one of the largest players in the space, with a $50 billion Hyperion data center under construction in Louisiana and a $14 billion facility in Texas.

McCormick also revealed that a newly elected governor who had made data centers a central part of their platform had already contacted Meta, requesting a meeting about keeping pro-data-center policies in place — suggesting that even supportive politicians are nervous about the backlash.

Most major AI company CEOs remained publicly silent after the results, according to The Verge. OpenAI and Anthropic did not provide comment, while Elon Musk's call to vote red on X vanished after results came in. Privately, AI executives have discussed significant compute capacity constraints following the results, particularly OpenAI, according to the Wall Street Journal.

What do analysts say about the economic impact?

The market's concern is not just about regulation — it is about the potential macroeconomic impact of a slowdown in AI infrastructure investment. Data center construction has been one of the few areas of construction spending that continued to grow through 2026, soaring 80 percent in September while spending in most other sectors declined, according to an analysis by Harvard economist Jason Furman.

Analysts at Jefferies called the Democratic sweep a 'worst-case near-term scenario' for the AI trade and revised their outlook for data center capacity through the end of the decade downward. Tim Holland, chief investment officer at Orion, said investors are 'stepping away until they get a better sense of the implications of the midterms around the AI capex cycle in particular, which is the biggest economic tailwind we’ve had going for us for the last, call it, three years.'

Top economist Mohamed El-Erian posed the central question on LinkedIn: 'Will the shift in Congress actually slow tech down? If yes (as many assume, though I’m less sure), can the rest of the market and economy thrive without the shield of tech earnings and spending?' David Rosenberg characterized the AI infrastructure space as facing a 'reality check,' adding that 'the question becomes the economic impact as we see, at the least, a pause in the data center construction mania.'

Not all analysts saw the selloff as entirely negative. Analysts at Yorkville Ives & Co. wrote that though tech investors should prepare for major hurdles for AI legislation and a slowdown in planned construction of up to 1,000 data centers, there could be a 'slight positive' in that it could help avoid a bubble and slow the flood of capital fundraising that has been destabilizing markets.

How does this affect the AI industry long term?

The market rout and political shift create a fundamentally different operating environment for AI companies. The industry has been built on the assumption of near-unlimited access to cheap compute and permissive land-use policies for data centers. Both of those assumptions are now in question.

For large AI labs like OpenAI, Anthropic, and Google DeepMind, the implications are mixed. Slower data center buildout means tighter compute capacity, which could constrain training runs and inference scaling. But it could also serve as a convenient explanation for revenue targets that fall short of investor expectations, as The Verge noted that AI executives privately view the results as giving them cover to blame for not delivering as much revenue to investors.

For the broader AI ecosystem — startups, open-source projects, and enterprise adopters — the impact may be more indirect but no less significant. If infrastructure costs rise and availability shrinks, the economics of AI startups that depend on cheap fine-tuning and inference could shift materially. The silver lining, if one exists, is that tighter regulation and slower buildout may prevent the AI bubble that many analysts have warned about from inflating further before popping.

Senator Mark Warner of Virginia, who was reelected campaigning on AI safety policy, said in his victory speech that the coming years will bring a reckoning for the industry. Senator Jon Ossoff of Georgia warned in his victory speech that 'the titans of Silicon Valley dig bunkers for themselves and warn that the artificial intelligence they’re creating risks human extinction.' Both men are now in a position to shape AI legislation.

Common questions

How much did AI stocks actually lose?

The Nasdaq 100 lost approximately $1.8 trillion in market capitalization on Thursday alone, while broader AI-linked losses across global markets pushed the total to roughly $2.5 trillion, according to Reuters and market data. The iShares Semiconductor ETF lost 11 percent, its worst day since the pandemic.

Did the selloff affect non-AI stocks too?

Yes. The selling pressure was so intense that it spread to industrial stocks like Caterpillar (down 6 percent), financials like JPMorgan (down 4 percent), and consumer names like Nike (down 2 percent). The Dow Jones Industrial Average lost 1,833 points, and the Russell 2000 small-cap index fell into correction territory.

What happens next for AI regulation?

With Democrats controlling both chambers of Congress, federal moratorium bills that had stalled under Republican leadership now have a path forward. State-level action is already accelerating: Texas's governor-elect has promised a ban on data center approvals, and 43 out of 44 local ballot measures restricting data centers passed. The industry faces its most significant regulatory challenge since the AI boom began.

Sources & further reading

  1. Dow drops 1,800 points; Nasdaq tumbles into correction territory on AI tech wreck ↗
  2. AI stocks are in free-fall as investors panic over the risk of a data center slowdown ↗
  3. ‘Total repudiation’: The blue wave is about to hit AI ↗
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.

Our editorial standards
Back to all stories