Best AI ETFs Compared: Fees, Holdings, and Concentration Risk

AI ETFs can look diversified while still carrying heavy exposure to a small group of technology companies. Funds such as AIQ, BOTZ, WTAI, and ROBT take very different approaches to AI, from large technology companies and semiconductor suppliers to robotics, cybersecurity, healthcare, and industrial automation. The right comparison is therefore not simply about which ETF has the lowest fee or strongest recent return, but how its holdings, weighting method, sector exposure, and concentration risk match the type of AI exposure you actually want.

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What Makes an AI ETF Different?

AI ETFs generally group companies expected to benefit from artificial intelligence, but their definitions of "AI" vary considerably.

Some funds focus on companies developing AI hardware and software. Others include robotics, automation, cybersecurity, cloud computing, healthcare technology, and industrial companies.

That difference can materially change the portfolio.

Data shown from fund providers in September 2026. Holdings and portfolio weights change over time.

The important point is that an AI label does not tell you how much exposure you actually have to Nvidia, Microsoft, semiconductors, robotics, or smaller AI companies.

Investors deciding how much technology exposure belongs in a portfolio should also understand sector allocation for technology stocks before adding a thematic ETF.

AIQ: Broad AI and Big Data Exposure

The Global X Artificial Intelligence & Technology ETF (AIQ) is one of the broader choices in this group. It tracks the Indxx Artificial Intelligence & Big Data Index and invests in companies involved in AI technology and hardware supporting big-data analysis.

As of September 25, 2026, AIQ had about $10.45 billion in net assets and an expense ratio of 0.68%. Its largest holdings included Palantir, Microsoft, SpaceX, Meta, Intel, AMD, Tesla, Oracle, Samsung, and Micron.

That mix is important. AIQ is not simply a basket of semiconductor companies, and its exposure can extend across software, cloud infrastructure, data centers, chips, and AI applications.

AIQ strengths and weaknesses

Strengths

• Broad exposure across the AI ecosystem.
• Large fund with more than 80 holdings.
• Includes major technology and semiconductor companies.
• Less dependent on a single AI subsector.

Weaknesses

• 0.68% is relatively expensive compared with broad-market ETFs.
• Some holdings have only an indirect connection to AI.
• Investors may already own several of its largest companies through other ETFs.

Best for: Investors who want broad AI exposure rather than a pure semiconductor or robotics strategy.

Image source: Global X AIQ

BOTZ: Robotics and Physical AI

The Global X Robotics & Artificial Intelligence ETF (BOTZ) takes a different approach. It focuses on companies involved in industrial robotics, automation, non-industrial robots, autonomous vehicles, and AI.

As of September 11, 2026, BOTZ had 83 holdings and a 0.68% expense ratio. Its largest holdings included FANUC, ABB, Keyence, Intuitive Surgical, and Nvidia.

This makes BOTZ much more industrial than many investors might expect from an AI ETF. As of August 31, 2026, industrials represented 43.7% of the portfolio while information technology accounted for 38.4%.

That can be useful if you specifically want exposure to automation and physical AI. It can also disappoint investors expecting a concentrated bet on cloud AI and semiconductors.

BOTZ strengths and weaknesses

Strengths

• Strong exposure to industrial automation and robotics.
• Includes AI hardware companies alongside industrial leaders.
• Global portfolio rather than a purely U.S. strategy.

Weaknesses

• Less direct exposure to software-focused AI companies.
• Industrial companies can drive performance even when AI is not the main revenue source.
• 0.68% expense ratio is not cheap.

Best for: Investors who believe AI adoption will expand into factories, logistics, healthcare, and physical automation.

WTAI: Lower-Cost AI Innovation Exposure

The WisdomTree Artificial Intelligence and Innovation Fund (WTAI) uses a broader AI and innovation strategy while charging a lower 0.45% net expense ratio.

As of September 10, 2026, its largest holdings included Nvidia at 5.06%, Samsung Electronics at 4.91%, Micron at 4.85%, Amazon at 4.08%, Meta at 3.99%, Kioxia at 3.44%, Alphabet at 3.34%, and TSMC at 3.05%.

Its sector allocation was 77.02% information technology, 10.23% communication services, 8.67% industrials, and 4.08% consumer discretionary.

WTAI therefore provides substantial exposure to the semiconductor and technology side of AI while spreading the portfolio across other industries and countries.

WTAI strengths and weaknesses

Strengths

• Lowest expense ratio among the four ETFs compared here.
• Meaningful exposure to Nvidia, memory companies, TSMC, and major technology firms.
• International exposure beyond the United States.
• Broad enough to avoid relying on a single company.

Weaknesses

• Still heavily concentrated in technology.
• Its AI definition includes companies with different levels of direct AI exposure.
• Smaller fund size than AIQ.

Best for: Investors seeking broad AI exposure with a lower expense ratio than AIQ and BOTZ.

ROBT: More Diversified Thematic Exposure

The First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT) charges a 0.65% expense ratio and held 111 securities as of September 25, 2026.

Its largest holdings were relatively small, with Tempus AI at 2.08%, Meta at 2.03%, and Illumina at 1.95%. Other major positions included Cloudflare, Recursion Pharmaceuticals, Symbotic, Intuitive Surgical, Dynatrace, AeroVironment, Palantir, and Palo Alto Networks.

ROBT uses a three-part structure that classifies companies as engagers, enablers, and enhancers. The index gives 60% weight to engagers, 25% to enablers, and 15% to enhancers, with companies within each category weighted equally.

This creates a different concentration profile from funds where a handful of mega-cap technology companies dominate.

Best for: Investors who want a wider basket of AI and robotics companies and less dependence on the largest technology stocks.

AI ETF Fees Compared

Fees matter more over long holding periods, especially when two funds provide similar exposure.

The fee difference between 0.45% and 0.68% is only 0.23 percentage points annually. On a $10,000 investment, that is roughly $23 per year before considering compounding and changes in fund value.

Fees should therefore be considered alongside portfolio construction. Paying a little more for an ETF with substantially different exposure can make sense, while paying more for nearly identical holdings is harder to justify.

Concentration Risk Matters More Than the ETF Label

An ETF can contain dozens of stocks and still behave like a concentrated technology investment.

For example, an AI ETF may hold Nvidia, Microsoft, Amazon, Meta, Alphabet, and other mega-cap technology companies that investors already own through the S&P 500 or Nasdaq-100.

This creates two layers of concentration:

1. Company concentration: A small number of holdings drive a large portion of returns.
2. Sector concentration: Most holdings respond to the same technology and AI spending cycle.

What to check before buying an AI ETF

• Top 10 holdings and their combined weight.
• Semiconductor exposure.
• Information technology sector weight.
• Geographic exposure.
• Number of holdings.
• Rebalancing frequency.
• Weighting methodology.
• Expense ratio.
• Overlap with ETFs you already own.
• Whether the fund owns AI businesses directly or companies with broader technology exposure.

Which AI ETF Fits Different Strategies?

The four funds serve different purposes.

These are exposure choices rather than guarantees of better returns. The right fund depends heavily on what other assets are already in the portfolio.

For example, someone who already owns Nvidia, Microsoft, Amazon, and other mega-cap technology stocks may gain less diversification from an AI ETF than the number of holdings suggests. Understanding the differences between blue-chip and growth stocks can also help investors assess whether an AI ETF is adding new exposure or increasing an existing concentration.

Common Mistakes When Buying AI ETFs

The biggest mistake is assuming that an ETF automatically eliminates concentration risk.

Other mistakes include:

• Buying several AI ETFs without checking their overlapping holdings.
• Choosing based only on recent performance.
• Ignoring the expense ratio because the ETF has strong historical returns.
• Assuming every holding is a pure AI company.
• Confusing robotics exposure with generative AI exposure.
• Ignoring international currency and market exposure.
• Treating a thematic ETF as a complete portfolio.

AI ETFs are usually better viewed as satellite positions around a broader portfolio rather than automatic replacements for diversified equity exposure.

My Take

For broad AI exposure, I would start by comparing AIQ and WTAI rather than buying several overlapping AI ETFs. AIQ offers a larger fund and broad exposure, while WTAI has a lower 0.45% expense ratio and meaningful exposure to semiconductor and infrastructure companies.

BOTZ makes more sense when the investment thesis specifically includes robotics and industrial automation. Its portfolio is not simply another basket of Nvidia, Microsoft, and cloud companies, which can be useful diversification within the AI theme.

ROBT is the more unusual option because its larger number of holdings and weighting structure reduce dependence on a few mega-cap names. That broader approach can be useful for investors who want exposure to smaller AI-related companies, but it also means more exposure to businesses whose AI connection may be less direct.

The main thing I would avoid is owning multiple AI ETFs without comparing their holdings first. If Nvidia, Microsoft, Amazon, and other large technology companies appear across several funds, buying three AI ETFs may increase concentration rather than reduce it.

Conclusion

AI ETFs are not interchangeable. AIQ provides broad AI and big-data exposure, BOTZ emphasizes robotics and automation, WTAI combines AI and innovation with the lowest expense ratio among these four, while ROBT spreads its portfolio across a larger number of AI and robotics companies.

Before buying, compare the fee, top holdings, sector exposure, weighting methodology, and overlap with your existing investments. The most useful AI ETF is not necessarily the one with the strongest recent performance, but the one that gives you the specific AI exposure you want without adding concentration you did not intend to take.

FAQs

1. Are AI ETFs better than buying individual AI stocks?

AI ETFs spread your investment across multiple companies, reducing the impact of one stock performing poorly. Individual stocks provide more direct exposure but also create greater company-specific risk.

2. Which AI ETF has the lowest fees?

Among AIQ, BOTZ, WTAI, and ROBT, WTAI currently has the lowest expense ratio at 0.45%. Fees can change, so investors should check the latest fund documents before buying.

3. Do AI ETFs reduce Nvidia concentration risk?

Not necessarily, because many AI ETFs hold Nvidia as a significant position. Investors should check the current holdings and compare them with their existing portfolios before assuming an AI ETF provides diversification.

4. Is BOTZ a pure AI ETF?

No, BOTZ has substantial exposure to industrial automation and robotics alongside AI-related companies. Its portfolio can therefore behave differently from an ETF focused mainly on AI software and semiconductors.

5. What should I compare before choosing an AI ETF?

Compare expense ratios, holdings, concentration, sector exposure, geographic allocation, and the fund's weighting methodology. Also check how much its holdings overlap with ETFs and stocks you already own.

References

Global X, Artificial Intelligence & Technology ETF (AIQ): https://www.globalxetfs.com/funds/aiq

Global X, Robotics & Artificial Intelligence ETF (BOTZ): https://www.globalxetfs.com/funds/botz

WisdomTree, Artificial Intelligence and Innovation Fund (WTAI): https://www.wisdomtree.com/us/products/megatrends/wtai

First Trust, Nasdaq Artificial Intelligence and Robotics ETF (ROBT): https://www.ftportfolios.com/Retail/etf/etfsummary.aspx?Ticker=ROBT

First Trust, ROBT Holdings: https://www.ftportfolios.com/Retail/etf/etfholdings.aspx?Ticker=ROBT

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Chanuka is a content writer, editor and contributor at Panaprium, specializing in long-form editorial articles. He conducts in-depth research and produces well-structured, carefully edited content with a strong focus on clarity, SEO best practices, and consistent formatting. His work spans lifestyle, fashion, wellness, and technical topics, and all articles are reviewed and refined to meet Panaprium’s editorial standards.