Ten AI stocks now weigh almost a third of the S&P 500
Buying the S&P 500 used to mean buying 500 companies. We opened the daily holdings file of the largest S&P 500 ETF and added up the weights. The result is a broad index that now behaves, in large part, like an AI fund.
The S&P 500 is weighted by market value, so the more a company is worth, the more of every index dollar goes into it. When a handful of AI companies grow faster than everything else, the index concentrates, and every passive investor's exposure to AI rises without a single trade.
Where the numbers come from
State Street publishes the full daily holdings of the SPDR S&P 500 ETF Trust (SPY), which tracks the index. We used the file dated October 13, 2026, which lists 502 companies plus a small cash line. Fund weights track index weights closely but not exactly, so treat the figures below as a close proxy for the S&P 500 itself. Alphabet's two share classes are combined.
| Company | Ticker | Weight in SPY |
|---|---|---|
| NVIDIA | NVDA | 8.22% |
| Apple | AAPL | 7.41% |
| Microsoft | MSFT | 6.00% |
| Alphabet (A and C) | GOOGL, GOOG | 5.56% |
| Amazon | AMZN | 3.77% |
| Broadcom | AVGO | 2.53% |
| Meta Platforms | META | 2.50% |
| Micron Technology | MU | 1.60% |
| Tesla | TSLA | 1.57% |
| Advanced Micro Devices | AMD | 1.47% |
Two details of the file matter. Alphabet appears twice, as Class A at 3.09% and Class C at 2.47%, which we add together. And the file carries a US dollar cash line of 0.27% that is not a company, which we leave out of every count below Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights.
The AI share, counted
We grouped ten companies whose recent growth is tied mainly to AI infrastructure, models or AI software: NVIDIA, Microsoft, Alphabet, Amazon, Broadcom, Meta, Micron, AMD, Palantir and Oracle. Together they carry 32.7% of the fund's weight on October 13, 2026. Apple (7.4%) and Tesla (1.6%), both in the top ten, are left out of that group because AI is not yet the main driver of their revenue; including them would take the figure to 41.7% Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights.
The ten largest companies of any kind carry 40.6% of the weight. The memory boom shows up too: Micron, at 1.6%, is the eighth-largest company in the index by weight, ahead of Tesla, Berkshire Hathaway and Eli Lilly Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights.
Two ways to picture it
- NVIDIA's weight, 8.2%, is larger than the combined weight of the 253 smallest companies in the fund. One chip designer outweighs half the index by count Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights.
- The ten largest companies together, at 40.6%, weigh about as much as the 467 smallest companies combined. The remaining 25 companies sit in between Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights.
Why regulators are watching
The Bank of England's Financial Policy Committee flagged this in July 2026. Governor Andrew Bailey said equity valuations 'continue to be high relative to earnings,' that AI-related companies were 'a particular source of growth' which 'has led to increased concentration, especially in US equity markets,' and that the risk of a sharp correction 'remains high.' The Reserve Bank of Australia's October 2026 review adds that the performance of a small group of AI-exposed technology and semiconductor firms has been a key driver of equity market moves since 2025, in the United States, South Korea and Taiwan.
What concentration means for an index investor
Concentration cuts both ways. When the AI leaders rise, a cap-weighted index rises with them; when they fall, diversification across the other 492 companies offers less cushion than the company count suggests, because those companies carry less than 60% of the weight between them Context: n=502 companies · holdings as of Oct 13, 2026 · SPY daily holdings file, State Street · margin: not applicable, reported weights. Equal-weight versions of the index exist precisely to remove this effect, at the cost of lagging when the largest stocks lead.
What it shows / What it doesn't
It shows
- The weight of each of the largest companies in the most widely held S&P 500 ETF on October 13, 2026.
- How much of the index sits in a group of ten AI-linked companies, under a definition stated in the article.
- How lopsided the distribution is, measured against the smallest companies in the index.
It doesn't show
- Official S&P 500 index weights, which S&P Dow Jones Indices licenses; the ETF file is a close proxy.
- How concentration has changed over time, since this is a single-day snapshot.
- Whether AI stocks are overvalued. Weight reflects market value, not fair value.
- An agreed definition of an AI stock. Other groupings would give a different share.
Why it matters
Many traders who think they are diversified through an S&P 500 fund are carrying a large AI position. Knowing that about a third of the index moves with one theme changes how much separate AI exposure makes sense, and why AI earnings days now move the whole market.
Primary sources
- VerifiedSPDR S&P 500 ETF Trust (SPY) daily holdings, as of October 13, 2026 (State Street Investment Management)Spreadsheet downloaded October 14, 2026; all weights computed from it.
- VerifiedFinancial Stability Report press conference, opening remarks by Andrew Bailey, July 7, 2026 (Bank of England)Quotes on valuations and AI concentration.
- VerifiedFinancial Stability Review, October 2026, Chapter 1 (Reserve Bank of Australia)AI-exposed firms as a driver of equity markets since 2025.
In our directories
How we used AI: A script read the SPY holdings spreadsheet, merged Alphabet's share classes and computed group weights and cumulative sums. The AI grouping is an editorial choice, stated in full above.
Not financial advice. For information and education only. AI model outputs and research results can be wrong and do not predict future returns. Nothing here is a recommendation to buy or sell any asset. See our disclaimer and methodology.