Democratic sweep spooks AI investors: Why $2.5 trillion vanished from Nasdaq


Wall Street’s AI trade faces a fresh reality check as Democratic gains in US midterm elections fuel concerns over tighter scrutiny, local opposition and delays in data centre construction. Semiconductor stocks bore the brunt of the sell-off, with Nvidia falling 9 per cent and AMD plunging 17 %.

The US stock market suffered a massive technology-led sell-off on Thursday (November 5), with the Nasdaq Composite recording its steepest single-day decline since April 2025, as investors reassessed the prospects of America’s artificial intelligence (AI) boom following the Democrats’ sweeping victory in the midterm elections.

The Nasdaq Composite tumbled 5.5 per cent, while the Nasdaq 100, which tracks the largest companies listed on the index, plunged 6.4 per cent, wiping out around $2.5 trillion in market value.

At the centre of the sell-off were concerns that Democratic gains, particularly in several state governorships, could create fresh obstacles for the rapid expansion of AI infrastructure in the United States. Investors fear increased regulatory scrutiny, stronger local opposition and potential delays in securing approvals for new data centres could disrupt billions of dollars in planned investments.

The sell-off also reflects growing concerns about the enormous costs of building AI infrastructure and whether companies will generate sufficient returns from their spending.

Why are investors worried about the Democratic sweep?

The election outcome has put the spotlight on the political and regulatory risks surrounding America’s data centre expansion.

Democratic victories in several gubernatorial races could strengthen opposition to new data centre projects at the state and local levels. While many projects have already received approvals, others still require permits, making them vulnerable to regulatory hurdles and community resistance.

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Data centres require enormous amounts of electricity and water to operate. Their growing demand has triggered concerns about pressure on local power grids, water supplies and utility infrastructure.

“There’s going to be a lot of pushback about those data centres being geographically located in someone’s backyard, straining the power grid, straining the water systems,” Bruce Zaro, managing director at Granite Wealth Management, told Reuters.

The potential scale of the disruption is significant. UBS analysts estimated that around 30 per cent of expected US data centre capacity additions in 2028 could be at risk from potential construction pauses.

This has raised questions about whether the pace of America’s AI infrastructure expansion can be sustained.

Is the AI boom facing a reality check?

The latest market rout comes amid growing scrutiny of the returns expected from the enormous investments being poured into artificial intelligence.

For months, investor enthusiasm around AI has supported valuations of semiconductor manufacturers, cloud computing companies and data centre operators. However, questions about financing costs, profitability and the pace of infrastructure expansion have increasingly weighed on the sector.

“The market’s moving from the promise of AI to the price of AI,” Ted Parkhill, founder and CEO of Incline Investment Management, told Reuters.

The Nasdaq Composite has now fallen nearly 12 per cent from its record closing level on October 6, putting the index in correction territory. A correction is generally defined as a decline of at least 10 per cent from a recent peak.

The Cboe Volatility Index (VIX), Wall Street’s widely followed fear gauge, recorded its biggest jump since December 2024.

The latest sell-off suggests investors are increasingly distinguishing between the long-term potential of artificial intelligence and the near-term financial risks facing companies building the infrastructure behind it.

For the AI industry, the challenge is no longer just how quickly it can expand, but whether the enormous investments required to sustain that expansion can deliver adequate returns.

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