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The right AI ETF starts with the exposure you actually want—not the word “AI” in the fund name. Define whether you want software and big-data companies, semiconductor and cloud infrastructure providers, robotics, or autonomous-technology businesses. Then compare each fund’s objective, index or active mandate, expense ratio, holdings, position weights, trading spread, turnover, tracking results, and prospectus risks using dated issuer documents.
Start by defining what “AI exposure” means
Artificial intelligence is an investment theme, not a single industry classification. An ETF marketed around AI may own companies that develop machine-learning software, supply processors and networking equipment, operate cloud platforms, collect and analyze data, build industrial robots, or provide autonomous-driving technology. Two funds can therefore carry similar names while having very different economic exposure.
Before comparing fees or returns, write a one-sentence description of the exposure you want. For example:
- AI software and big data: businesses whose products depend on data processing, analytics, machine learning, or related software.
- AI infrastructure: semiconductor, memory, networking, data-center, and cloud companies that provide computing capacity.
- Robotics and automation: manufacturers and software providers involved in industrial, warehouse, medical, or other automated systems.
- Autonomous technology: companies developing driver-assistance, autonomous vehicles, drones, robotics, or other systems that operate with limited human control.
Use the fund’s stated objective and methodology to test whether its holdings match that sentence. A ticker, marketing description, or a large number of technology stocks is not enough.
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Index ETF or actively managed ETF?
Indexed exposure
An index ETF normally follows a rules-based benchmark. The fund’s prospectus should identify the index, eligible securities, weighting rules, reconstitution schedule, and circumstances in which the portfolio can deviate from the benchmark. Rules can still produce concentrated or fast-changing portfolios, so “index” does not mean automatically diversified or low risk.
The Global X Artificial Intelligence & Technology ETF (AIQ) says it seeks investment results that correspond generally, before fees and expenses, to the price and yield performance of the Indxx Artificial Intelligence & Big Data Index. That objective means your exposure is shaped primarily by the index methodology rather than by a portfolio manager making discretionary selections.
Active exposure
An actively managed ETF does not have to replicate a published index. Its manager selects securities within the fund’s mandate and may change positions as the team’s view changes. Read the mandate for minimum investment requirements, geographic scope, permitted instruments, and theme definitions.
ARKQ is described by ARK Invest as an actively managed ETF seeking long-term growth of capital. Under normal circumstances, it invests primarily—at least 80% of assets—in domestic and foreign equity securities of autonomous-technology and robotics companies relevant to its theme. That is a narrower thematic description than a generic “AI” label and can lead to materially different holdings from an AI-and-big-data index fund.
Why the distinction changes your decision
- An index methodology gives you a rules-based explanation for inclusion and removal, but the rules may emphasize a small group of sectors or regions.
- An active mandate gives the manager discretion to alter exposure, which can create larger differences from broad technology benchmarks and from other thematic ETFs.
- Rebalancing and trading activity can affect taxes, turnover, transaction costs, and how closely an ETF follows its stated theme.
Compare expense ratios without mistaking them for total cost
The expense ratio is the annual operating cost charged to the fund, expressed as a percentage of average net assets. It is deducted inside the fund, so you do not receive a separate bill. A lower ratio generally leaves more of the portfolio’s gross return available to shareholders, but it does not guarantee better results: holdings, trading costs, taxes, and tracking differences also matter.
| ETF | Expense figure | Document and date |
|---|---|---|
| AIQ | 0.68% total annual fund operating expenses | Global X summary prospectus dated April 1, 2026 |
| ARKQ | 0.75% expense ratio | ARK Invest fact sheet, 2026 |
The difference between 0.68% and 0.75% is 0.07 percentage points, or seven basis points. On a hypothetical $10,000 held for one year with a constant average value, those stated operating expenses would be about $68 for AIQ and $75 for ARKQ before considering market movements, trading costs, taxes, or other effects. The calculation is an illustration, not a forecast of your account’s actual charge.
Check whether a quoted ratio is gross or net, whether a fee waiver is temporary, and whether the document reports total annual fund operating expenses or only a management fee. Use the latest prospectus because fees, waivers, and expense classifications can change.
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A holdings count answers only one question: how many positions the fund owns. It does not tell you whether those positions contribute similar amounts of risk. A portfolio with 80 small positions and one very large position may be less balanced than a portfolio with 30 similarly weighted positions.
Global X reported that AIQ held 88 securities and had a 0.02% 30-day median bid-ask spread as of October 2, 2026. The holding count indicates the number of positions on that date; it does not establish equal weighting, sector balance, or protection from losses in the largest companies.
Use concentration measures
- Largest position: identify the single biggest weight. A sharp decline in that company can have an outsized effect on the ETF’s net asset value.
- Top five: add the five largest weights. This shows how much exposure is controlled by a small group even when the total holdings count is high.
- Top ten: add the ten largest weights and compare the result across funds.
- Sector concentration: group holdings by industry or sector. A fund can hold many companies while remaining heavily dependent on semiconductors, software, or industrial automation.
- Geographic concentration: check the share invested in each country or region, including where multinational companies are legally domiciled versus where they earn revenue.
ARKQ’s March 31, 2026 fact sheet shows its ten largest holdings represented 54.0% of the portfolio. That figure is a direct warning to examine the names and weights in the top ten rather than assuming that an ETF is diversified because it owns multiple companies. It also illustrates why concentration should be compared on the same date: weights move as prices change and as the manager trades.
Read the holdings file correctly
Download the most recent holdings file, fact sheet, and prospectus from the issuer. Confirm the “as of” date before drawing conclusions. A holdings page updated today may still contain positions measured at an earlier reporting date.
For each fund, record:
- the largest position and its percentage of net assets;
- the combined weight of the top five and top ten positions;
- sector allocations and any sector caps or limits in the methodology;
- country or regional allocations;
- cash, derivatives, or other instruments that may not appear like ordinary operating companies;
- the number of holdings and whether that count includes cash equivalents or other non-equity positions.
Do not compare a fund’s holding count from one month with another fund’s concentration from a different month and treat the result as a synchronized snapshot. Use dates next to every number.
Liquidity: include the bid-ask spread and trading costs
The expense ratio is not the only cost of owning an ETF. When you buy or sell, you normally transact at the bid or ask price. The difference between them—the bid-ask spread—is an immediate trading cost. A narrow spread usually reduces the cost of entering or exiting, while a wider spread can matter more than a small difference in annual expenses for short holding periods or frequent trades.
AIQ’s issuer-reported 30-day median bid-ask spread was 0.02% as of October 2, 2026. A median is a typical midpoint statistic for the stated period, not a guarantee that every order will receive that spread. Spreads can widen during market stress, outside normal trading hours, or when the underlying securities are difficult to trade.
Practical trading checks
- Use a limit order when the spread or market volatility is material; specify the maximum price you will pay or minimum price you will accept.
- Check the live spread and trading volume shortly before placing an order rather than relying only on an old fact-sheet statistic.
- Avoid judging liquidity solely by the ETF’s share price. The spread, average volume, creation-and-redemption activity, and liquidity of the underlying holdings all influence execution.
- For a large order, consider splitting the trade and watching how the quoted spread changes as the market moves.
Investigate tracking difference and turnover
An indexed ETF can lag its benchmark by more than its stated expense ratio. The gap can reflect portfolio transaction costs, withholding taxes, index rebalances, corporate actions, sampling, cash balances, and the timing of expenses. Compare the fund’s published performance with the index over matching periods and read the prospectus explanation of tracking risks.
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Turnover measures how much of the portfolio is replaced during a period. High turnover may result from frequent index reconstitutions, active management, or rapid changes in the underlying theme. It can increase transaction costs and may create taxable distributions in a taxable account. A low-turnover strategy can still be concentrated or volatile, so turnover is a diagnostic rather than a quality score.
For an active ETF such as ARKQ, compare performance with the stated investment objective and understand that the portfolio may differ substantially from a broad technology index. For an index ETF such as AIQ, verify how closely the fund has followed the Indxx Artificial Intelligence & Big Data Index after expenses and trading frictions.
Understand rebalancing and methodology rules
Find the benchmark methodology or active-management description before buying. Important questions include:
- How does a company qualify as related to artificial intelligence, big data, robotics, or autonomous technology?
- Are companies selected using revenue exposure, business descriptions, patents, analyst classifications, or another test?
- How are constituents weighted—market capitalization, equal weight, capped weight, or a score?
- Are there limits on one company, one sector, or one country?
- How often does the index rebalance, and can extraordinary events trigger an interim change?
- Can the fund use derivatives, cash, depositary receipts, or foreign-listed securities?
These rules determine whether the portfolio behaves like a focused theme or a broad technology basket. They also explain why two funds with “AI” in their names may not overlap much.
Compare risks beyond concentration
The prospectus risk section is where the fund describes hazards that a marketing page may not emphasize. For AI-themed ETFs, look for:
- Theme risk: investor enthusiasm can push valuations higher, while a change in technology adoption or regulation can weaken the theme.
- Technology and obsolescence risk: companies can lose competitive ground when standards, computing architectures, or software platforms change.
- Semiconductor and supply-chain risk: infrastructure companies may depend on a small number of fabrication, packaging, equipment, or component suppliers.
- Cybersecurity and data regulation risk: breaches, privacy rules, or restrictions on data use can affect revenue and costs.
- Foreign-investment and currency risk: overseas holdings can be affected by exchange rates, political events, accounting differences, and market-access limits.
- Small- and mid-cap risk: less-established companies may have more volatile prices and less liquid shares.
- Active-management risk: a manager’s security selection, timing, or interpretation of the theme can be wrong.
- Index and reconstitution risk: an index rule change or scheduled rebalance can force trades at unfavorable prices.
Do not treat a fund’s historical performance as a forecast. Past returns show what happened during a particular market regime; they do not establish what the fund will earn next.
A repeatable AI ETF selection process
- Write the target exposure. Decide whether you want AI software, infrastructure, robotics, autonomous technology, or a combination.
- Collect current documents. Obtain the prospectus, summary prospectus, fact sheet, holdings file, and methodology document for each candidate.
- Classify the management approach. Mark each fund as index-based or actively managed and note its investment minimums and flexibility.
- Verify the objective. Check the quoted objective and the definition of the theme. Reject a fund whose mandate does not match your intended exposure.
- Record fees with dates. Capture the total operating-expense figure, any waiver, and the document date.
- Map concentration. Record the largest holding, top-five and top-ten totals, sector weights, and geographic mix.
- Check implementation costs. Review the bid-ask spread, trading volume, turnover, and any evidence of tracking difference.
- Read the risks. Pay particular attention to thematic, foreign-market, technology, liquidity, and active-management risks.
- Set a review date. Holdings, weights, assets, fees, and methodology can change. Recheck issuer files immediately before investing and periodically afterward.
AIQ and ARKQ: what the published figures demonstrate
| Comparison point | AIQ | ARKQ |
|---|---|---|
| Approach | Tracks the Indxx Artificial Intelligence & Big Data Index | Actively managed around autonomous technology and robotics |
| Expense figure | 0.68% total annual fund operating expenses; summary prospectus dated April 1, 2026 | 0.75% expense ratio; 2026 fact sheet |
| Holdings information | 88 holdings as of October 2, 2026 | The cited 2026 fact sheet reports concentration rather than a holdings count |
| Concentration information | The cited issuer figure does not establish a top-five or top-ten percentage | Top ten represented 54.0% as of March 31, 2026 |
| Trading information | 0.02% 30-day median bid-ask spread as of October 2, 2026 | The cited fact sheet does not provide a comparable spread figure |
This is not a performance ranking. The figures are from different documents and dates, and they describe different mandates. The useful lesson is methodological: compare like-for-like measures, preserve each “as of” date, and do not infer diversification from a holdings count alone.
Common selection mistakes and how to correct them
Choosing by the ticker or fund name
Problem: assuming every AI-labeled ETF owns the same type of companies.
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Picking the lowest expense ratio automatically
Problem: treating seven basis points of annual expenses as more important than a large difference in concentration, spread, or tracking behavior.
Correction: evaluate the full implementation cost and the risk profile that the fee pays for.
Calling a fund diversified because it owns many names
Problem: ignoring the percentage controlled by the biggest positions.
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Correction: calculate largest-position, top-five, and top-ten weights and inspect sector and country exposure.
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Using stale facts
Problem: relying on an old fact sheet after holdings, fees, or methodology have changed.
Correction: put the publication or “as of” date beside every figure and download current issuer documents before trading.
Ignoring execution
Problem: comparing annual expenses while overlooking a wide spread on the order you are about to place.
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When an AI ETF may not fit your portfolio
A thematic ETF can be unsuitable if you need broad-market exposure, lower volatility, income, or a narrowly defined allocation that the fund cannot provide. Concentrated technology and robotics holdings may move together during changes in interest rates, regulation, economic growth, or investor sentiment. Adding several thematic ETFs may also create hidden overlap if they own the same large companies.
Before buying, compare the candidate’s largest holdings with funds you already own. Decide what portfolio role the ETF is meant to serve—core allocation, satellite position, or a temporary trade—and set a position size consistent with the concentration and volatility you can tolerate. The prospectus and a qualified financial professional can help you evaluate risks for your circumstances; the figures above are general information, not individualized investment advice.
How to keep the comparison current
AI is a fast-changing theme, and an ETF’s exposure can change without a name change. Review the latest prospectus for fees and risks, the methodology for eligibility and rebalancing, and the current holdings file for weights. Recheck assets, spreads, turnover, and tracking information when you make a decision. Date your own comparison sheet so you can tell whether a later change reflects market movement, a rebalance, a fee update, or a change in the fund’s mandate.
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