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AI ETFs are diversified by ticker count, concentrated by theme. A fund may hold 50 or 73 companies yet still rise and fall with the same data-center spending, semiconductor demand, cloud budgets and AI-adoption cycle. The practical test is not the number of tickers alone: examine the top-ten weight, sector and country mix, overlap with funds you already own, the fund’s construction rules, expenses and trading liquidity.
For example, FAI held 50 securities as of September 25, 2026, but its five largest positions made up about 39.2% of assets. AGIX held 73 securities on September 30, 2026, with its top ten at roughly 32.9%. Both provide more company-level diversification than owning one stock, but neither should automatically be treated as a broad-market portfolio.
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What does diversification mean for an AI ETF?
Diversification has two separate dimensions. Security diversification asks how many holdings a fund has and how much of the portfolio sits in its largest positions. Economic diversification asks whether those holdings depend on genuinely different revenue sources and risk drivers. An AI-themed portfolio can score well on the first measure while remaining narrow on the second.
Many AI companies are linked through the same spending chain. Cloud providers and technology platforms buy advanced chips; chip designers and manufacturers depend on data-center orders; software vendors depend on enterprise AI budgets; and the whole chain is sensitive to interest rates, capital-expenditure plans and the pace at which customers adopt AI. If those assumptions change, dozens of tickers can move together.
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That is why “50 holdings” does not mean “50 independent bets.” Look through the names to identify the common economic exposure.
How many stocks are in representative AI ETFs?
Holding counts provide a useful first screen, but concentration statistics add the context that a ticker count misses.
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| ETF | Holdings | Largest disclosed positions | Top-group concentration | Expense ratio | Method |
|---|---|---|---|---|---|
| FAI | 50 (data as of 2026-09-25) | Microsoft 9.54%; NVIDIA 8.33%; Amazon 7.42%; Broadcom 7.06%; Alphabet 6.89% | Top five about 39.2% | 0.65% | Official page reports quarterly rebalancing; detailed methodology should be checked in the current fund documents. |
| AGIX | 73 (data as of 2026-09-30) | Meta 4.83%; NVIDIA 3.83%; Alphabet 3.73%; Microsoft 3.52%; Apple 2.87%; Amazon 2.80%; Taiwan Semiconductor Manufacturing 2.79%; AMD 2.27%; Tesla 2.26%; Palantir 2.25% | Top ten roughly 32.9% | 1.00% total annual operating expense | Portfolio weights and holdings are disclosed in the cited September 2026 data. |
| BAI | Not stated in the cited fact sheet | Not stated in the cited fact sheet | Not stated | Not stated in the cited fact sheet | Actively managed across infrastructure, intelligence, and applications and services |
| AIQ | Not stated in the cited prospectus | Not stated in the cited prospectus | Not stated | Not stated in the cited prospectus | Seeks to track, before fees and expenses, the Indxx Artificial Intelligence & Big Data Index |
FAI’s largest ten holdings also include Palantir at 5.29%, Meta at 4.65%, AMD at 4.39%, Micron at 4.00% and Taiwan Semiconductor Manufacturing at 3.67%. The portfolio therefore spans 50 securities but gives substantial influence to a small group of platform, chip and infrastructure companies.
AGIX spreads its weight more evenly than FAI: no disclosed position exceeds 4.83%, and its top ten total about 32.9%. That is a meaningful difference in single-name concentration, yet the list still contains several of the same mega-cap technology and semiconductor exposures that drive the broader AI trade.
Do AI ETFs just own NVIDIA and Microsoft?
No. Most AI ETFs hold more than those two companies, but NVIDIA and Microsoft commonly appear among the largest positions because they sit at important points in the AI infrastructure and platform ecosystem. The relevant question is whether the fund’s other holdings add independent exposure or simply repeat the same technology-spending thesis.
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In FAI, NVIDIA represented 8.33% and Microsoft 9.54% on September 25, 2026. The next three positions—Amazon, Broadcom and Alphabet—brought the top-five total to about 39.2%. That is not a two-stock portfolio, but the leaders can still dominate results when mega-cap technology moves as a group.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchAGIX shows a different weighting profile. NVIDIA was 3.83%, Microsoft 3.52%, and other large positions included Meta, Alphabet, Apple, Amazon, TSMC, AMD, Tesla and Palantir. The lower individual weights reduce dependence on any one company, while the repeated presence of the same platforms and chip suppliers leaves meaningful thematic overlap.
Are AI ETFs too concentrated?
They can be, depending on what you expect the ETF to do. An AI ETF may be appropriately concentrated for an investor seeking a focused satellite allocation, but it is unlikely to provide the broad economic diversification of a total-market index fund.
Measure single-name concentration
Start with the top ten and the largest individual position. A fund with a high top-ten percentage will be more affected by company-specific earnings, regulation or product setbacks. Compare that figure with the role you want the ETF to play: a small thematic position can tolerate more concentration than a portfolio’s core holding.
Measure sector concentration
Read the sector breakdown rather than assuming that a long list of company names represents many industries. AI portfolios often cluster in information technology, communication services and semiconductor manufacturing. A fund can include software, hardware and cloud companies while still depending on one capital-spending cycle.
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Measure country concentration
Country exposure matters because chip production, platform revenues, currency movements and regulation are geographically uneven. Check whether a fund’s allocation is primarily United States-based or includes meaningful exposure to places such as Taiwan and other markets. Country diversification can add a different risk source, but it does not eliminate the shared AI theme.
Measure economic overlap
Ask what would make several holdings disappoint at the same time. If the answer is a slowdown in data-center construction, weaker cloud budgets or slower enterprise adoption, the fund has concentrated economic exposure even when its holding count is high.
What is the difference between actively managed and index AI ETFs?
Active and index approaches differ in who determines the holdings and weights, not in whether the result is automatically diversified.
Actively managed approach
BAI’s March 31, 2026 fact sheet describes an actively managed portfolio covering three parts of the AI stack: infrastructure, intelligence, and applications and services. A manager can change positions as its view changes, potentially adding companies that an index rule would miss or reducing exposure it considers excessive. That flexibility does not guarantee lower concentration, better timing or superior returns.
Index-tracking approach
AIQ’s April 1, 2025 summary prospectus says it seeks to provide results corresponding generally to the price and yield performance, before fees and expenses, of the Indxx Artificial Intelligence & Big Data Index. Eligibility screens, definitions of AI-related revenue, weighting limits and rebalancing rules determine what enters the portfolio. Read those rules to understand whether the index favors pure-play companies, large diversified platforms or a mixture.
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Questions to ask for either structure
- How does the fund define an AI-related company?
- Are weights based on market capitalization, an equal-weight formula, revenue exposure or a discretionary decision?
- How often does the portfolio rebalance, and are there caps on individual positions or sectors?
- What happens when a holding no longer meets the eligibility test?
How much do AI ETF fees affect diversification decisions?
Fees do not change the number of holdings, but they create a persistent performance hurdle. Investor.gov states that “Fees and expenses reduce the value of your investment return.” The Investment Company Institute reported 2024 asset-weighted average expense ratios of 0.14% for index equity ETFs and 0.44% for actively managed equity ETFs.
| Fund or benchmark | Expense ratio | What the figure represents |
|---|---|---|
| FAI | 0.65% | Expense ratio listed by the fund; current documents should be checked because costs can change. |
| AGIX | 1.00% | Total annual operating expense reported for the fund. |
| Index equity ETF average | 0.14% | 2024 asset-weighted average reported by the Investment Company Institute; not a guarantee for any fund. |
| Actively managed equity ETF average | 0.44% | 2024 asset-weighted average reported by the Investment Company Institute; not a guarantee for any fund. |
The representative thematic funds above cost more than the broad 2024 averages. A higher expense ratio compounds as a drag over the holding period, so the fund needs to deliver enough additional exposure or performance potential to justify that cost. Also account for trading costs, including the bid-ask spread, which varies with liquidity and market conditions.
How should you compare an AI ETF with a broad-market index fund?
Use the broad-market fund as the diversification baseline and treat the AI ETF as a targeted decision. A broad-market index typically spreads exposure across many sectors and business models, while an AI ETF intentionally tilts toward companies expected to benefit from artificial-intelligence development.
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- Define the job. Decide whether you need a core holding for general market exposure or a satellite position expressing a specific technology view.
- List existing exposure. Write down the technology, semiconductor and mega-cap positions already held directly or through other funds.
- Compare actual holdings. Use the latest holdings files to identify repeated names, not just similar fund labels.
- Compare concentration. Record each fund’s largest position and top-ten percentage. Do not call a fund well diversified solely because it has 50 or 70 holdings.
- Review rules and costs. Read the prospectus or fact sheet for the AI definition, caps, rebalance schedule and expense ratio.
- Check trading conditions. Review assets, typical bid-ask spreads and trading volume before placing an order, especially for a smaller or less frequently traded ETF.
- Set a portfolio limit. Choose in advance how much thematic exposure fits your risk tolerance, then reassess if the fund’s concentration or your other holdings change.
What should you check before buying an AI ETF?
Investor.gov recommends checking fees, risks, how an index is constructed and the actual holdings. A practical checklist is:
- Top-ten weight: a quick view of how much performance rests on the leaders.
- Single-name maximum: identifies sensitivity to one company’s earnings or regulatory events.
- Sector and country mix: reveals whether the portfolio is diversified beyond the United States technology complex.
- Overlap: compare the ETF’s names with your existing broad-market, technology and semiconductor funds.
- Methodology: determine whether the approach is active or index-based and how “AI” eligibility is decided.
- Rebalancing: note the schedule and any concentration caps.
- Total cost: include the stated expense ratio and the likely trading spread.
- Data date: holdings and weights change, so use the latest fact sheet, prospectus and holdings file.
How current are AI ETF holdings and weights?
They are snapshots, not permanent specifications. The FAI figures above are dated September 25, 2026; AGIX figures are dated September 30, 2026; BAI’s cited fact sheet is dated March 31, 2026; and AIQ’s cited prospectus is dated April 1, 2025. Portfolio managers can trade between reporting dates, and index rebalances can change weights on a schedule.
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Before making a trade, retrieve the fund’s latest official holdings file, prospectus and expense disclosure. Recheck after a rebalance or a major market move rather than relying on an older article or a remembered top-ten list.
So, are AI ETFs diversified?
They are diversified across securities but often concentrated by theme. FAI’s 50 holdings and AGIX’s 73 holdings reduce the risk of owning one company, yet their leading positions and shared exposure to platforms, chips, cloud infrastructure and AI spending can make them behave like a single broad AI-growth trade.
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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteThe best choice depends on the role in your portfolio, not on a universal “best AI ETF.” Compare top-ten weight, sector and country exposure, methodology, costs, liquidity and overlap with your existing funds. A broad-market index is generally the more diversified core; an AI ETF is a narrower allocation that should be sized and monitored accordingly.
Frequently Asked Questions
How often should I review an AI ETF’s holdings?
Review the official holdings file at least whenever the fund rebalances, and again after major market or company events. The published snapshots for FAI and AGIX show why dates matter: weights reported in September 2026 may not match the portfolio you buy later.
Can two AI ETFs have different returns even when they own many of the same companies?
Yes. Different position limits, rebalance dates, smaller holdings and cash or trading effects can change results. Expense ratios also create a persistent difference even when the underlying names overlap.
Does an equal-looking top-ten list eliminate AI ETF risk?
No. Lower single-name weights reduce dependence on one company, but companies can still share the same customers, suppliers and capital-spending cycle. Economic overlap can remain high after arithmetic concentration falls.
What document explains an AI index’s selection rules?
The fund’s summary prospectus and the index methodology are the key documents. They explain eligibility screens, weighting formulas, concentration caps and rebalancing procedures that a holdings list alone cannot show.
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