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| AI-generated illustration of a plunging stock market chart with a graphics card chip and memory modules. |
On Thursday, November 5, 2026, Wall Street delivered one of the sharpest verdicts of the year on the artificial intelligence boom. The Nasdaq plunged 5.5%, the S&P 500 fell 4.4%, and the Dow dropped 3.4%, according to Reuters, wiping roughly $2 trillion off the Nasdaq's market value in a single session. The Philadelphia Semiconductor Index fell 12%, its second-biggest drop on record. Nvidia, AMD, Micron, SanDisk, and a long list of AI infrastructure companies were hit hard, and the Nasdaq entered correction territory, sitting about 14% below the all-time high it reached only a month ago.
That sounds dramatic, and the numbers are dramatic. But it is worth keeping one day of trading in proportion before drawing big conclusions. Share prices are not product prices: a 17% fall in a chipmaker's stock does not make its graphics cards 17% cheaper, and it does not mean AI itself has stopped working. Markets can reverse as fast as they fall — the day before, the Dow had surged more than 1,500 points in its best session since April 2025, and Thursday erased those gains in hours. This guide explains what actually happened on November 5, why investors sold, which companies were hit hardest, and what it does and does not mean for PC buyers, gamers, and people who use AI tools every day.
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What happened on November 5
The selling started early and spread fast. By mid-morning in New York, the Nasdaq was already down more than 3%, and the losses deepened through the session. At the close, Reuters reported the Nasdaq down 5.5%, the S&P 500 down 4.4%, and the Dow down 3.4%. The National, reporting the same close, put the Nasdaq at 5.4% lower and the Dow down more than 1,833 points. All three indexes suffered their worst day since April 2025, and the Nasdaq closed more than 10% below its record high from October 6 — the usual definition of a correction.
The damage was concentrated exactly where the AI boom lives: semiconductors, memory, and the companies building data centres. The Philadelphia Semiconductor Index fell 12%, its second-biggest fall on record, according to Reuters. The Cboe Volatility Index, Wall Street's widely watched fear gauge, jumped nearly 70% from Wednesday's close. The selloff was not confined to the United States either. South Korea's Kospi index had already fallen about 5.3% earlier on Thursday, with memory-chip companies among the hardest hit in the Asian session.
One detail that makes the day stand out is how quickly the mood flipped. Wednesday's session had been a celebration: stocks surged after the US midterm elections, with the Dow gaining more than 1,500 points. By Thursday's close, all of that was gone. Investors went from betting that the election result would be good for business to worrying that it would be bad for the AI buildout — and they did it within about 24 hours.
Why investors sold AI stocks
The main driver, according to Reuters and other market coverage, was the Democrats' sweeping victory in this week's US midterm elections. Democrats won control of both chambers of Congress, and investors quickly reassessed what that could mean for the data centre construction boom that has powered AI stocks for two years. The fear is that a Democratic Congress will slow the data centre buildout — through tighter oversight, new regulation, or support for local restrictions and moratoriums on new facilities.
That matters because the AI trade is, at its core, a bet on data centres. Nvidia, AMD, Micron, and the rest of the chip supply chain have been valued on the assumption that companies will keep spending enormous sums building facilities packed with processors, memory, and storage. If those facilities get delayed, orders for chips and memory get delayed too. Reuters put it plainly: investors were gripped by the fear that Democrats will use their control of both houses of Congress to slow the data centre buildout, and roughly $2 trillion was wiped off the Nasdaq's market capitalisation on Thursday alone.
There were also company-specific triggers. Qualcomm fell sharply after issuing weak fourth-quarter guidance, with its handset chip revenue down 26% to $5.14 billion and missing Wall Street estimates, according to market coverage. That added to worries about chip demand beyond data centres. And the selling fed on itself: as AI and memory stocks fell, funds and traders who had crowded into the same trade rushed for the exit at the same time, which pushed prices down further.
It is also worth noting what did not happen. No major AI company announced a cancelled product, a lost customer, or a broken business on November 5. No new law was passed and no regulation was announced. The selloff was driven by a change in expectations about future policy, not by a confirmed policy change. That distinction matters, because expectations can change again — in either direction — as the incoming Congress takes shape and states its actual plans.
Which companies fell hardest
Memory and storage companies were at the centre of the storm. According to Reuters, SanDisk fell 22%, while Micron, AMD, and Marvell each fell 17%. Nvidia, the company most associated with the AI boom, fell 9%. Those are extraordinary single-day moves for companies of this size, and they reflect how much of the recent rally had been built on memory and AI chip demand.
The pain spread well beyond chipmakers. Tesla fell about 10.8%, and SpaceX fell 9%, according to market reports. Oracle declined about 7%, Broadcom fell more than 10%, and the neocloud companies that rent out AI computing power were hit hard: CoreWeave fell about 9.8%, Nebius about 14.9%, and Iren nearly 17%. Amazon fell 2.19%, Apple 1.53%, Meta 3.96%, and Microsoft 3.58%, according to The National — smaller drops, but notable because those four companies are among the biggest buyers of AI infrastructure in the world.
One pattern in the numbers is worth understanding. The companies that fell hardest were the ones most directly tied to building AI infrastructure: memory makers, chip designers, and data centre operators. The companies that fell least were the giant platform companies that buy AI infrastructure but also earn money from many other businesses. That split tells you what investors were actually worried about: not AI itself, but the pace and cost of building the physical infrastructure behind it.
The AI-bubble question is back
Whenever AI stocks fall sharply, the same question returns: is this a bubble bursting? On November 5, that debate flared up again on social media, where posts revisiting investor Michael Burry's earlier warnings about an AI bubble were widely shared. Burry, famous for predicting the 2008 housing crash, has questioned AI valuations before, and Thursday's selloff gave his sceptics' case fresh attention.
That debate should be read for what it is: commentary, not evidence. A viral post is not a valuation model, and a single bad day in the market does not prove a bubble any more than a single good day proves there is not one. What can be said factually is that AI-related stocks had risen very fast, valuations were high by historical standards, and many investors had crowded into the same trade — all conditions in which sharp reversals are more likely. Whether the AI buildout ultimately justifies those valuations depends on things no one can know yet: how fast AI revenue grows, how much data centre capacity is actually needed, and what regulation eventually looks like.
The honest position is that nobody knows yet whether November 5 was the start of a longer downturn, a healthy correction, or a one-day overreaction. The Nasdaq has fallen 14% from its high, which is a serious correction, but corrections happen regularly in bull markets too. What would turn this into something bigger is follow-through: more selling in the days ahead, concrete policy proposals that slow data centre construction, or signs that AI spending itself is being cut. None of those has happened yet.
What it means for PC buyers and gamers
Here is the part that matters most to readers of this blog: a crash in chip stocks does not mean cheaper graphics cards tomorrow. Share prices and retail prices are different things, and they move for different reasons. A graphics card costs what it costs because of manufacturing, memory supply, demand from gamers and AI buyers, and retailer margins — not because of what the manufacturer's shares did on a given Thursday.
That said, there are two things worth watching. First, memory was at the centre of this selloff: Micron fell 17% and SanDisk 22%, and memory prices have been a major driver of PC building costs this year. If investors are right that data centre demand for memory will cool, memory supply could loosen over time, which could eventually ease prices for RAM and SSDs. That is a possibility, not a prediction — memory markets move slowly, and one day of trading tells you very little about next quarter's prices.
Second, do not make a buying decision based on one day in the market. If you were planning to buy a graphics card, CPU, or memory kit, Thursday's selloff is not a reason to rush or to wait. Prices have not changed because of it, and the factors that actually set prices — new product launches, memory supply, and holiday demand — have not changed either. The sensible approach is the same as always: buy when you need the hardware and the price is fair for what you are getting, and check current prices rather than assuming a stock market story has moved them.
What it means for people who use AI tools
For anyone who uses ChatGPT, Claude, Gemini, or other AI services, nothing changed on November 5. No AI service announced a price rise, a shutdown, or a cut in capacity. The companies that run these services are among the best-funded in the world, and a bad day for their share prices does not affect the servers already running.
The longer-term question is about capacity growth. If data centre construction genuinely slows — because of regulation, local opposition, or financing costs — then the growth of AI computing capacity could slow too. That would matter over years, not days, and it would show up first in the plans of cloud providers, not in the chatbot you use today. It is also far from certain: the same political forces that worry investors could equally decide that AI infrastructure is a national priority and push construction faster. Until the incoming Congress actually proposes something concrete, this remains a debate about expectations.
What to watch next
Several things will clarify whether November 5 was a turning point or a blip. First, Friday's trading: if the selling continues into a second day, that suggests genuine fear rather than a one-day flush. If buyers step back in, it suggests the market sees the selloff as overdone. Second, Friday's US employment data, which economists expected to show a net rise of about 65,000 jobs with unemployment unchanged at 4.2%, according to Reuters — a weak or strong number could shift the mood again.
Third, watch what the incoming Congress actually says about data centres and AI regulation. So far the market has reacted to a fear of future policy, not to any proposal. Concrete bills, hearings, or statements from congressional leaders will matter far more than Thursday's speculation. Fourth, watch the next round of chip and cloud earnings and guidance: if companies start cutting their own spending forecasts, that would be real evidence of a slowdown; if they hold their plans, it would suggest the buildout continues.
Finally, watch the memory market. Micron, SanDisk, and Western Digital were among the worst hit on Thursday, and memory pricing is the most direct link between this story and PC buyers. If memory spot prices start falling in the coming weeks, that would be the first tangible consumer effect of a data centre slowdown — and the first genuinely good news for PC builders in a long time.
Checklist: how to read this selloff without being misled
- Do not confuse a share price with a product price. A 17% fall in Micron's shares does not make RAM 17% cheaper.
- Do not treat one day as a trend. Thursday erased Wednesday's gains; Friday could erase Thursday's losses, or extend them. One day proves very little.
- Do not treat social-media bubble claims as evidence. The AI-bubble debate is commentary, not a valuation.
- Do not assume a law has been passed. No new AI or data centre regulation was announced on November 5; the market reacted to expectations about future policy.
- Do watch for follow-through: a second day of selling, concrete congressional proposals, and chip companies' own spending guidance.
- Do check real prices before buying hardware. Memory and graphics card prices move on supply and demand, not on a single day of stock trading.
Bottom line
On November 5, 2026, the AI trade suffered its worst day in more than a year. The Nasdaq plunged 5.5%, the S&P 500 fell 4.4%, and the Dow dropped 3.4%, with roughly $2 trillion wiped off the Nasdaq's value, according to Reuters. Chip and memory stocks led the fall — SanDisk down 22%, Micron, AMD, and Marvell down 17% each, and Nvidia down 9% — as investors worried that the Democrats' midterm sweep could slow the data centre buildout that has powered the AI boom.
What happened is serious, but what it means is still open. No regulation has been passed, no AI product has been cancelled, and no company has cut its spending plans yet. For PC buyers and AI users, nothing has changed today: hardware prices and AI services are unaffected by one day of trading. What matters now is what happens next — whether the selling continues, what Congress actually proposes, and whether chip companies themselves start pulling back. Until then, treat November 5 as a warning shot about how fast sentiment can turn, not as a verdict on AI itself.
Reference sources
- Reuters, "Trading Day: A November 5 market bonfire" — https://www.reuters.com/commentary/reuters-open-interest/global-markets-trading-day-graphic-2026-11-05/
- The National, "Nasdaq plunges 5% as investors dump AI stocks after midterms" — https://www.thenationalnews.com/business/markets/2026/11/05/ai-fears-overtake-democratic-sweep-as-nasdaq-enters-correction-territory/
- Business Today, "Nasdaq plunges nearly 4%, enters correction territory as AI stocks crash after Democrats' US midterm victory" — https://www.businesstoday.in/amp/markets/story/nasdaq-plunges-nearly-4-enters-correction-territory-as-ai-stocks-crash-after-democrats-us-midterm-victory-566072-2026-11-05
- The Economic Times, "Was Michael Burry right about the AI bubble? Wall Street loses $2 trillion as AI and chip stocks plunge" — https://economictimes.indiatimes.com/news/international/us/was-michael-burry-right-about-the-ai-bubble-wall-street-loses-2-trillion-as-ai-and-chip-stocks-plunge-why-are-tesla-palantir-amd-broadcom-and-sandisk-crashing/articleshow/135581323.cms
- MarketSpeaker, "Nasdaq 100 Plunges 6.4% as Wall Street's Fear Gauge Surges" — https://marketspeaker.com/nasdaq-100-selloff-vix-wall-street-november-5-2026/
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