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Business · National

Breaking: Chip Stocks Wipe Out $400B as Nvidia Leads Worst Day Since 2020

Nvidia lost over $400 billion in value while the Philadelphia Semiconductor Index fell more than 12 percent, marking its steepest daily drop since the pandemic era.

By Ahmed Peterson ·

Illustration for: Breaking: Chip Stocks Wipe Out $400B as Nvidia Leads Worst Day Since 2020
A row of monitors displays red stock charts in an empty trading room.

The semiconductor sector suffered a historic wipeout on Thursday as investors sold off technology stocks in a broad rout that erased billions in market value. Nvidia, the bellwether for the artificial intelligence trade, fell 9.2 percent to become the biggest decliner in the Dow Jones Industrial Average. The chipmaker lost more than $400 billion in market value in a single session, a loss that reflected deepening anxiety about the sustainability of current spending on AI infrastructure. According to reports from the BBC and The Guardian, this decline was the centerpiece of a wider collapse in the chip industry that had been building for months.

The damage extended far beyond Nvidia to other major players in the semiconductor supply chain. SanDisk shares plummeted more than 22 percent, while Western Digital dropped 17 percent. AMD and Micron both fell more than 17 percent, and Intel declined 10.3 percent. These moves were part of a synchronized sell-off that hit the entire group of companies responsible for producing the hardware needed for data centers and AI applications. The sheer scale of the losses highlighted how concentrated the market's optimism had become in this specific slice of the economy.

The Philadelphia Semiconductor Index, which tracks thirty of the largest chip companies, fell more than 12 percent on Thursday. This marked the index's worst day since the market breakout associated with the end of the pandemic in March 2020. The index has now fallen more than 30 percent since the beginning of October and sits almost 40 percent below its peak set in June. The iShares Semiconductor ETF, which mirrors this index, also fell 12 percent, confirming the severity of the downturn in the sector according to CNBC data.

Broader market indicators showed similar stress. The Dow Jones Industrial Average fell more than 1,800 points, a drop of 3.4 percent, to close at 51,868. The S&P 500 fell 4.3 percent, its worst day since April 2025, while the Nasdaq Composite dropped 5.5 percent. The Nasdaq closed more than 11 percent below its record set last month, placing it in correction territory. An estimated $2.5 trillion in market value was wiped from the Nasdaq Composite, according to Dow Jones data cited by the BBC. The Magnificent Seven technology companies shed about $1 trillion in value during the single trading day.

The selling pressure was driven by concerns that the Democratic sweep of the House and Senate in Tuesday's midterm elections would slow the pace of data center construction. Democrats campaigned on measures to restrict the spread of data centers, and voters in several states rejected local ballot initiatives aimed at allowing new facilities. In Texas, Democrat Gina Hinojosa won the governor's race after campaigning on an immediate moratorium on new data center construction. This victory, along with wins in Ohio, heightened fears that the physical infrastructure supporting the AI boom would face new regulatory hurdles.

Neil Wilson, an investor strategist at Saxo UK, described the action as a complete capitulation-level event playing out in tech stocks. He noted that the fear was a total momentum unwind as Democrats paced the frontier and potentially stopped data center buildout. Dan Ives, a tech analyst, stated that Democrats taking control, especially over the Senate, would create major hurdles for AI and tech legislation in the Beltway over the next two years. He viewed the midterm results as a clear sign that the pace of data center build-out would start to slow.

Ted Parkhill, founder and chief executive of Incline Investment Management, observed that the market was moving from the promise of AI to the price of AI. He argued that while AI would be transformative in the long run, that did not mean every AI-related stock was priced appropriately. Susannah Streeter, chief investment strategist at Wealth Club, said fresh panic over the AI trade had hit Wall Street hard. She noted that fears that vast sums poured into AI infrastructure may not deliver returns were colliding with the prospect of a sharp slowdown in data center construction.

Volatility measures spiked sharply during the session. The Cboe Volatility Index, often called Wall Street's fear gauge, jumped as much as 5.7 points to above 28, its highest reading since March 31, 2026. The index moved more than 11 points from its low to its high, marking its biggest one-day move since April 9. By midday, nearly 800,000 VIX call options had traded, which was 3.5 times the 30-day average according to Cboe data cited by CNBC. The 10-year Treasury yield fell to 4.83 percent, its lowest since September, as investors sought safety in bonds.

Noel Smith, an options trader, told CNBC that his data said to de-risk, but his gut suggested the blowout could create a dip-buying opportunity. He described the tape as looking like a liquidation, a view supported by reports of hedge fund activity. Gene Goldman, chief investment officer at Cetera Financial Group, said the sell-off had become exaggerated as selling accelerated through the day. He predicted a recovery, noting that corrections in a bull market are typically short-lived and that a bounce back was expected soon.

Industry leaders responded to the market jitters by emphasizing the need for better community engagement. Greg Brockman, president and co-founder of OpenAI, said at the WSJ Tech conference that everyone had been surprised by the reaction to data centers. He stated that the industry needed to do more work to bring communities on board, noting that from San Francisco, one cannot just tweet that a project is good. Dina Powell McCormick, president of Meta, added at the same conference that the industry needed to double and triple down on telling the story of AI.

Source: BBC News, The Guardian with Reuters, The New York Times, CNBC

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