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Highest-Rated AI Mutual Funds: What the Available Ratings Actually Show

The available rating data does not establish a single highest-rated AI mutual fund. Learn why share class, market, fund structure, costs, holdings, and rating date matter.
From TheFinanceBase Team5 min to read
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There is no defensible single “highest-rated AI mutual fund” in the available evidence: it does not show comparable rating values for the named mutual fund share classes. A meaningful ranking must identify the rating provider and date, market, and exact share class. It must also keep mutual funds separate from ETFs, which are a different fund structure.

Can you name the highest-rated AI mutual fund?

Not from the rating information currently available for the examples here. Morningstar’s retrieved screener lists Alger AI Enablers & Adopters Fund Class A (AIFAX), but does not show a usable rating value for that share class. Morningstar’s listing for Allianz Global Artificial Intelligence R EUR (ISIN LU1677195205) gives a rating date of June 30, 2026, but likewise does not expose the rating value. Those entries are not enough to establish which fund ranks highest.

“Highest-rated” is incomplete without specifying the rating provider, the date of the rating, the geography or market being screened, and the exact share class. Ratings can differ among providers and share classes, and they can change over time. The available results do not supply a consistent cross-market set of values for a fair ranking.

Which named products are mutual funds, and which is an ETF?

Fund structure matters before comparing ratings or costs. A mutual fund share class and an exchange-traded fund (ETF) are not interchangeable, even when both invest in companies associated with artificial intelligence.

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Product Structure and market context What the available information shows
Alger AI Enablers & Adopters Fund Class A (AIFAX) U.S. mutual fund share class Morningstar’s retrieved screener snapshot reports an adjusted expense ratio of 0.850% and a one-year total return of 25.37%. It does not show a usable rating value. Source: Morningstar screener; retrieved October 2026.
Allianz Global Artificial Intelligence R EUR (LU1677195205) European mutual fund share class Morningstar’s document listing gives a rating date of June 30, 2026, and a prospectus effective date of July 15, 2026, but does not expose the rating value. Source: Morningstar fund documents.
Global X Artificial Intelligence & Technology ETF (AIQ) U.S.-listed ETF, not a mutual fund share class Global X says the ETF tracks the Indxx Artificial Intelligence & Big Data Index. It reported a 0.68% total expense ratio and $10.62 billion in net assets as of October 6, 2026. Source: Global X product page.

AIQ is useful as a separate ETF example, not as a mutual-fund contender. An SEC-filed semi-annual shareholder report for AIQ covers December 1, 2025, through May 31, 2026; a report filing does not make the ETF a mutual fund share class. The SEC shareholder report provides the reporting-period context.

What counts as an AI fund?

A thematic label does not guarantee that a fund invests only in companies that make AI software or models. Morningstar describes AI and big-data funds broadly: eligible themes can include companies connected to AI or big-data development, businesses positioned to benefit from adoption, and producers of AI-related products, hardware, or services.

That range can create very different portfolios under similar labels. One fund might emphasize technology companies developing AI, while another may include companies supplying chips, infrastructure, or services—or businesses expected to adopt AI. Read the fund’s objective and holdings rather than treating “AI” in its name as a complete description of its strategy.

How to compare AI funds without relying on a headline rating

Once you have a specific market and rating system in mind, compare candidates on the same basis. A rating is one input, not a substitute for understanding what you own and what it costs.

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  1. Match the market and structure. Compare funds available to investors in the same country and distinguish mutual funds from ETFs. Fund domicile and investor location affect which share classes are relevant and accessible.
  2. Use the same rating provider and date. Do not place ratings from different providers or dates in one ranking as if they were directly comparable. Confirm the value for the precise share class.
  3. Check the full cost picture. Compare the expense ratio on the same basis and look for sales charges or other applicable costs. The retrieved AIFAX figure is an adjusted expense ratio; the AIQ figure is a total expense ratio, so do not treat the two quoted measurements as automatically equivalent.
  4. Read the objective and approach. Identify whether the fund is actively managed or follows an index, and what kinds of AI-related businesses its mandate permits.
  5. Inspect holdings and geographic exposure. Look for concentration in a small number of companies, industries, or countries. Holdings can change, so use a dated portfolio disclosure rather than assuming a snapshot is permanent.
  6. Compare risk and performance over matching periods. A one-year return is a dated historical measurement, not a forecast. Compare like periods and consider risk as well as return.

As broad historical context—not a census of the current market—Morningstar’s 2025 guide says U.S. AI investing through funds is often expressed via ETFs, while European AI funds are typically actively managed mutual funds. That context helps explain why a search spanning markets may mix structures and strategies.

What do the available cost, return, and holdings figures tell you?

The figures below describe particular products at particular dates; they do not establish a rating winner or predict future performance.

  • AIFAX: Morningstar’s screener snapshot retrieved in October 2026 reports a 0.850% adjusted expense ratio and a 25.37% one-year total return. The return is a historical snapshot, and the retrieved result does not provide a usable rating value.
  • AIQ: Global X reported a 0.68% total expense ratio and $10.62 billion in net assets as of October 6, 2026. Because AIQ is an ETF, these figures do not make it directly comparable to a mutual fund share class.
  • AIQ holdings and geography: Global X Canada reported Palantir Technologies at 4.08%, Microsoft at 3.62%, Space Exploration Technologies at 3.43%, Intel at 3.23%, and Meta Platforms at 3.22% of underlying holdings as of September 30, 2026. The same Canadian product page reported 71.16% U.S. geographic exposure and 5.60% South Korea exposure. These are dated figures for the Canadian product page, and holdings may change. See Global X Canada’s AIQ page.

Global X cautions that “Past performance does not guarantee future results.” It also notes that investment return and principal value fluctuate, so shares may be worth more or less when sold. That warning is relevant to AIQ’s reported figures; it is not evidence that AIQ or any mutual fund will outperform.

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How should an investor use a rating?

Use a rating to generate questions, not to make the decision by itself. First establish that the rating is for the exact share class you can buy, in the market where you invest. Then assess whether the portfolio’s strategy, geographic exposure, concentration, costs, and risk fit your goals and tolerance for loss. A high rating cannot resolve those personal suitability questions.

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Ratings, holdings, expenses, and assets are dated data points. Check current fund documents and the rating provider’s latest share-class information before acting; the entries summarized here do not supply a complete, synchronized comparison for all named mutual funds.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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