The 12 AI stocks that closed a combined $1,447.4 billion lower on Thursday traded about $661.8 billion higher in Friday’s premarket session, as of 6:46 a.m. ET (11:46 UTC), by our arithmetic from Nasdaq premarket prices and the share counts in our Thursday close piece. That is about 45.7% of Thursday’s loss, on premarket prices that can change before the 9:30 a.m. ET open.
Nvidia traded at $190.70 premarket, up 5.01% from its official Thursday close of $181.60, according to Nasdaq’s quote data. Bloomberg’s headline on Friday read “US Stock Futures Rise as Dip Buyers Emerge After AI Selloff”.
Business Pill · Financial Conditions
Related (6 Nov, 14:24 UTC): Friday’s analyst notes after the rout, including Bank of America’s $350 Nvidia objective, Morgan Stanley on SpaceX and Seaport on SiTime, as reported by CNBC: BofA keeps $350 Nvidia target, 93% above the rout-day close.
A short explainer on financial conditions: how the price of credit moves with markets. It teaches the general idea only and does not discuss Friday’s premarket trading.
The key insight: By our arithmetic from Nasdaq’s premarket prices at 6:46 a.m. ET, the 12 AI stocks that lost about $1,447.4 billion on Thursday were about $661.8 billion above Thursday’s close: 45.7% of the loss, on prices that are not closes.
Nvidia: $190.70 premarket, up 5.01%, about $219.3 billion of market value back against Thursday’s $446.6 billion loss (our arithmetic). TSMC’s ADR: $379.00, up 7.34%, about $134.3 billion against $221.2 billion. Micron: $719.75, up 9.65%, about $71.7 billion against $157.1 billion.
Broadcom traded up 4.92%, AMD 8.31%, SanDisk 11.87%, Marvell 9.87%, Arm 7.37%, Intel 6.39%, Oracle 4.38%, Qualcomm 3.80% and Tesla 2.60%, each against its official Thursday close, on Nasdaq’s premarket data as of 6:46 a.m. ET. Tesla, which lost about $164.0 billion on Thursday, was the furthest behind: about $35.3 billion back, by our arithmetic.
Outside the 12, Lam Research traded at $205.70 premarket, up 11.07% from a $185.20 close; it fell 16.36% on Thursday. The iShares Semiconductor ETF traded at $139.66, up 5.88% from its $131.90 close, Nasdaq data show. Walter Bloomberg, the markets news account on X, had posted at 11:01 UTC that the ETF was “up nearly 5%”.
Share of each stock’s 5 November market-value loss regained in premarket trading at 6:46 a.m. ET on 6 November. Source: Nasdaq premarket quotes and official closes; share counts from each company’s latest SEC filing, TSMC as ADRs. Our arithmetic; premarket prices are not closes.
How Far Is Back to Wednesday
The semiconductor ETF closed at 150.1367 on Wednesday and 131.90 on Thursday, a fall of 12.15%. Its premarket price recovers about 42.6% of that drop in points, by our arithmetic; getting back to Wednesday’s close would take a rise of 13.83% from Thursday’s close.
As we read the basket, the rebound was uneven: TSMC’s ADR had regained about 61% of its Thursday loss and Tesla about 22%, by our arithmetic.
As we read the semiconductor ETF, its premarket price of $139.66 sat 42.6% of the way back to Wednesday’s 150.1367 close, by our arithmetic, so most of Thursday’s fall had not been recovered.
As we read the timing, these are premarket prices from thin early trading; the 9:30 a.m. ET open sets the first regular-session prices.
Bloomberg headline, 6 November 2026
“US Stock Futures Rise as Dip Buyers Emerge After AI Selloff”
Three Implications
FOR THE 12-STOCK BASKET About $661.8 billion of Thursday’s $1,447.4 billion loss was back in premarket trading at 6:46 a.m. ET, by our arithmetic.
FOR NVIDIA It traded at $190.70 premarket, up 5.01% from its $181.60 official close, Nasdaq data show.
FOR CHIP-EQUIPMENT MAKERS Lam Research traded at $205.70 premarket, up 11.07% from its $185.20 close, after a 16.36% fall on Thursday.
The framework argues: “It is a sovereign-scale financing problem dressed in tech-company clothing”.
As we read it, the stocks in our basket are the listed end of that financing, and their prices moved by hundreds of billions of dollars in two sessions. The framework does not discuss Friday’s premarket trading.
What Is Not Established
Premarket prices come from thin early trading and are not closes. These figures are as of 6:46 a.m. ET; the regular session opens at 9:30 a.m. ET and its prices may differ. The value changes use the same share counts as our Thursday piece, from each company’s latest SEC filing, with TSMC converted to ADRs. We have not read the full Bloomberg article behind the headline quoted above.
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On Nasdaq’s premarket prices at 6:46 a.m. ET on Friday, the 12 AI stocks in our basket were about $661.8 billion above Thursday’s close, or 45.7% of the $1,447.4 billion they lost that day, by our arithmetic. Nvidia was up 5.01% and Micron 9.65%; Tesla had regained the least of its loss.
A note on sourcing. Premarket prices are from Nasdaq’s quote data as of 6:46 a.m. ET (11:46 UTC) on 6 November 2026; closes are Nasdaq’s official closing prices. Market-value changes are our arithmetic, using the share counts in each company’s latest SEC filing (TSMC converted to ADRs), the same basis as our 5 November close piece. Premarket prices are not closes. A post by Walter Bloomberg on X pointed us to the move; the figures here are from Nasdaq.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
