Axios reported on 15 November that Nvidia’s weight in popular index funds ties the retirement savings of millions of Americans to the company, even for people who never bought a share. The fund files put a number on it. State Street’s SPY holdings file, dated 12 November, gives Nvidia 6.14% of its S&P 500 portfolio. Nvidia closed at $162.85 on Friday, 13 November, 6.26% below its 11 November close of $173.73. On a $100,000 S&P 500 fund, that is about $384 of Nvidia-only value lost, by our arithmetic.
A $100,000 Nasdaq-100 fund lost about $409 over the same two sessions, at the 6.53% weight Invesco lists for its QQQ fund as of 11 November. Over the month from the 13 October close of $228.52, Nvidia fell 28.74%, which comes to about $1,764 and $1,877 at the same weights, by our arithmetic. The example in the Axios article was $2,400, using an 8% weight and a 30% drop.
Business Pill · Concentration Explained
An evergreen Business Engineer explainer on concentration, the general idea behind relying heavily on a single position. It teaches the concept only and does not discuss Nvidia, index funds or the figures in this piece.
The key insight: As we read it, the fund files shrink the headline number: at the weights State Street and Invesco publish, Nvidia’s fall over the CEO-exit window took about $384 off a $100,000 S&P 500 fund and $409 off a Nasdaq-100 fund, by our arithmetic. The Axios example of $2,400 uses a larger weight and a larger drop, so the two figures answer different questions.
Axios cites the Investment Company Institute for the base: index funds “held nearly half of the assets in large private-sector 401(k) plans in 2023”. Tom Graff, chief investment officer at financial planning firm Facet, told Axios that Nvidia accounts for roughly 8% of the S&P 500, around 14% in growth-style index funds, and 25% to 30% in some technology and semiconductor funds commonly found in retirement plans.
From those weights, the article works through examples. For $100,000 in an S&P 500 fund, a 30% drop in Nvidia shares “would knock about $2,400 off the value of that investment given an 8% S&P holding, assuming other stocks in the fund stayed flat”. For a growth-style tech fund with 25% exposure, the same decline would be $7,500. Citing Fidelity, Axios puts the average Baby Boomer’s 401(k) at about $260,000, and says a tech-style exposure on that balance would equal about a $20,000 reduction.
Axios also adds a caveat: “a drop in your investment’s value doesn’t mean you’ve actually lost that cash — unless you sell your holdings”.
Nvidia-only value lost on a hypothetical $100,000 S&P 500 fund (Nvidia weight 6.14%, State Street SPY holdings file as of 12 November) and Nasdaq-100 fund (6.53%, Invesco QQQ as of 11 November) over three windows of Nasdaq’s official Nvidia closes ending 13 November 2026. $100,000 times weight times Nvidia’s fall, our arithmetic; Nvidia’s contribution only, not each fund’s total move.
The Fund Files: 6.14% and 6.53%
The SPY daily holdings file lists Nvidia as the fund’s second-largest position as of 12 November: Apple 7.90%, Nvidia 6.14% and Microsoft 5.93%. The fund held 295,837,410 Nvidia shares. At that share count, the $10.88 fall from the 11 November close to the 13 November close comes to about $3.22 billion on SPY’s Nvidia stake alone, by our arithmetic.
Invesco’s QQQ page, which tracks the Nasdaq-100, lists holdings as of 11 November: Apple 8.45%, Nvidia 6.53%, Microsoft 6.33%, Amazon 4.70% and Advanced Micro Devices 4.30%. Its ten largest holdings add up to 46.46% of the fund.
The SPY figure is below the roughly 8% Graff cited to Axios. The SPY file is dated 12 November, after Nvidia’s shares had fallen from $228.52 on 13 October; a weight moves with the share price. We did not obtain a SPY file from before the fall, so we use the dated weights as published.
The Arithmetic, Window by Window
Each figure below is $100,000 times the fund weight times Nvidia’s fall between two official Nasdaq closes. It is Nvidia’s contribution only, not the fund’s total move, and it holds the weight fixed, as the Axios example does. All of it is our arithmetic.
CEO exit, 11 to 13 November: Nvidia fell 6.26%, from $173.73 to $162.85, the two sessions after the 8-K and release of 12 November announced the resignation. That is about $384 on the S&P 500 fund and $409 on the Nasdaq-100 fund. Our piece on the $262 billion markdown measured the company’s market value from the same base.
The week, 6 to 13 November: Nvidia fell 12.75%, from $186.64, which is about $782 and $832. The month, 13 October to 13 November: Nvidia fell 28.74%, which is about $1,764 and $1,877. Because the weights are dated after part of the fall, the longer windows likely understate the hit at the start of each window.
Axios’s illustrative scenarios (an 8% or 25% Nvidia weight and a 30% drop, weights cited by Facet’s Tom Graff) against the Nvidia-only hit over 11 to 13 November at the SPY and QQQ file weights and Nasdaq’s official closes. The 11 to 13 November figures are our arithmetic.
Beyond the Nvidia Slice
Axios reports that about 40% of the S&P 500 is tied to the AI buildout, citing a TIAA paper, and that analyst Bob Iaccino said damage could spread to other stocks if Nvidia’s troubles slow AI data-centre investment. Graff told Axios: “A lot of people are starting to realize just how much Nvidia exposure they have in funds they thought were diversified”.
The rest of a fund did not stand still. Axios reports that AMD’s stock rose by more than 30% in a five-day stretch last week, and quotes Steve Sosnick of Interactive Brokers: “The mindset has flipped very quickly to ‘who might benefit from this?’”. AMD is 4.30% of QQQ on Invesco’s list, so a fund’s total move depends on the other holdings as well. Our valuation piece sets Nvidia’s price against its sales guidance.
The Structural Read
As we read the files, Nvidia is the second-largest holding in both funds, behind Apple, at 6.14% of SPY and 6.53% of QQQ. The exposure is close in the two indexes, so the Nasdaq-100 hit over the CEO-exit window is only about 6% larger than the S&P 500 one, $409 against $384, by our arithmetic.
As we read the month, the larger number built up before the exit: the 28.74% fall since 13 October is worth about $1,764 on the S&P 500 fund, more than four times the two-session figure, by our arithmetic. Our piece on the $262 billion markdown measured the two sessions from the same base.
Tom Graff, chief investment officer at Facet, to Axios, 15 November 2026
“You don’t want too much of your retirement riding on whether Nvidia has a successful transition to new leadership or not”
Three Implications
FOR INDEX-FUND HOLDERS Axios notes that a fall in value is not a realised loss unless holdings are sold, and Graff told Axios that exposure can reach 25% to 30% in some technology and semiconductor funds in retirement plans.
FOR NVIDIA WATCHERS Axios reports that Nvidia is set to report earnings on Tuesday, the next fixed date for the stock. Our valuation piece sets the price against the guidance.
FOR READERS OF THE COVERAGE The Nvidia hub collects the CEO search, the results and the stock.
The framework says “The diagonals where dominance concentrates are where the supercycle’s profit pools live”.
As we read it, an index fund weighted by market value holds more of whichever company sits on that diagonal, which is how a single chipmaker came to be 6.14% of SPY. The framework does not discuss index funds, retirement accounts or Nvidia’s board.
What Is Not Established
The closes do not separate the leadership news from other market moves on those days, so the $384 is the Nvidia-only change over the CEO-exit window, not a measured effect of the exit. Fund weights change daily. We did not compute a target-date fund figure, because we did not read a target-date fund’s factsheet; such funds hold a mix of stocks and bonds that varies by fund and date.
These are hypothetical funds of $100,000, not anyone’s account. As Axios notes, a fall in value is not a realised loss unless holdings are sold. We leave out personal material and did not contact Nvidia, State Street, Invesco, Facet or Axios.
This Week In The AI Supercycle
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This week’s issue: the Nvidia leadership change, read as the AI build-out losing its central banker: who now finances the GPU landlords, backstops the data centres and sponsors open models, and why two labs are becoming the bank.
At the weights in the fund files, Nvidia’s 6.26% fall over the CEO-exit window took about $384 off a $100,000 S&P 500 fund and about $409 off a Nasdaq-100 fund; over the month it was about $1,764 and $1,877, by our arithmetic. The Axios example of $2,400 assumes an 8% weight and a 30% drop. Axios reports that Nvidia is set to report earnings on Tuesday; our Nvidia hub tracks the search, the results and the stock.
A note on sourcing. The Axios article (Madison Mills, 15 November 2026) was read in full; we use its market and retirement-savings figures only, attributed, and leave out its personal material. Nvidia’s S&P 500 weight and share count come from State Street’s SPY daily holdings file dated 12 November; the Nasdaq-100 weight from Invesco’s QQQ page, holdings as of 11 November. Prices are Nasdaq’s official daily closes.
Every dollar figure for a $100,000 fund, the percentage falls and the $3.22 billion are our arithmetic, for hypothetical funds, holding the weight fixed and counting Nvidia’s contribution only. This is not investment advice. We did not contact Nvidia, State Street, Invesco, Facet or Axios.
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.
