Ticker count doesn't equal diversification

An ETF with 197 holdings can be less diversified than it appears. True diversification requires exposure to independent economic outcomes, not the same outcome wearing different tickers.

“Diversification protects you when your money is spread across independent economic outcomes.”

Tech dominates growth ETFs

The Schwab U.S. Large-Cap Growth ETF holds 197 stocks, but its top 10 holdings account for 51% of the fund. Technology alone makes up almost 50% of the portfolio.

Five companies control 35% of SCHG

Nvidia is 10.83% of the fund, Apple 8.93%, Microsoft 7.31%. Add Amazon and Alphabet and five companies account for roughly 35% of the entire fund.

The Nasdaq-100 concentration trap

Invesco's QQQ has the same problem. Its top 10 holdings run 45% of the fund with technology making up over 50%. You bought a concentrated bet on a handful of companies, not broad exposure.

Four companies spending $700 billion

Microsoft, Amazon, Alphabet and Meta are projected to spend between $700 billion and $725 billion combined on capital expenditures in 2026, up 60% to 77% over 2025. The overwhelming majority funds AI data centers, chips and networking.

Hidden dependency across your portfolio

Nvidia's revenue depends on this spending. So does Micron's, Vertiv's, Equinix's and Arista Networks'. You may hold 10 or 30 companies across multiple funds, but a meaningful share of each depends on the same four checkbooks.

Counterparties, not competitors

Microsoft sells AI capacity built with Nvidia chips. Nvidia depends on Microsoft, Amazon, Alphabet and Meta buying those chips. Arista and Micron sell into the same data centers. Vertiv and Equinix build them.

“They are counterparties in the same transaction, repeated at scale.”

You're stacking exposure, not diversifying

When you own several of these companies at once, you're not diversifying your exposure to AI. You're stacking your exposure to whether four companies keep spending at a pace none of them has ever sustained before.

Concentration grows without you doing anything

Most growth ETFs are weighted by market capitalization. When Nvidia's stock price doubles, it automatically earns a larger slice of every new dollar flowing into the fund, pulling in even more of the next dollar behind it.

Your exposure compounds on itself

This happens automatically every day the market is open, with no rebalancing decision required and no trade of your own. A fund that looked diversified a year ago can look considerably more concentrated today.

Cap weighting can't distinguish value from hype

The mechanism cannot tell a company earning a bigger share because it's genuinely capturing more of the economy from one earning a bigger share because enthusiasm pushed its price ahead of fundamentals. The fund sees only price.

Standard checks miss the real concentration

A traditional concentration check looks at single stock exposure. It will tell you SCHG is fine because no company crosses 11%. It won't tell you that Nvidia, Microsoft, Amazon, Alphabet, Broadcom and Micron represent one economic bet dressed as six.

Fund overlap tools miss it too

Overlap tools compare ticker lists across funds but don't ask whether companies share a common revenue driver. They'll tell you your growth ETF and S&P 500 fund both hold Nvidia, but not that they both depend on the same $700 billion spending assumption.

Count dependencies, not tickers

Pull fact sheets for every fund you own. Ask which companies derive meaningful revenue from AI infrastructure spending, directly or as a supplier. Add that exposure across every fund. You don't need to sell anything to get an honest number.

“Count the dependencies, not the tickers. That is where your real concentration risk is hiding.”