5 AI-equipped ETFs: pros and cons

Artificial intelligence seems like a rage these days, so it's not too surprising that investors try to use AI to gain an advantage when it comes to investing. However, AI is not an idea limited to connected professionals. Anyone can use machine learning tools to analyze inventory and use which stocks to raise before investing to purchase Exchange Sales Funds (ETFs).

Here are some important things to know about AI-powered funds and the AI funds you currently trade.

What is an AI-driven fund?

An AI-powered fund is the fund that uses machine learning to research and select stocks or other investments. So, rather than necessarily investing in AI companies (such as the grand seven shares), you use technology to find patterns in your data before choosing which stocks to buy.

In many cases, AI can help you gather public data points and determine the market's sentiment towards stocks. AI may collect information about stocks from social media, news, financial statements, analyst reports, online bulletin boards, and other sources that show the market pulse. Depending on its purpose, AI could carefully examine financial data, predict which businesses may continue to function well, and distill the research into the fund manager's stock list.

Some AI models may recommend the amount of purchase, not only choosing attractive inventory, but even leaving the final decision to a human fund manager.

AI models can simplify the process of finding attractive investments, identify characteristics that correlate with outperformance, and increase the productivity of fund managers. So, AI leaves managers with more time to look into detailed research and decide which stocks deserve further investments of time and money.

What are the advantages and disadvantages of AI funds?

While AI-powered funds can change the game, investors should not overlook their shortcomings. Given how new these funds are, the benefits are primarily inherently potential until they are actually proven (or not).

AI Funding Pros

• Potentially low cost: AI-powered funds can trade teams of stock analysts, or at least utilize their expertise more efficiently, reducing funds' expense ratios and reducing the ultimate cost for investors.
• Potential outperformance: If the AI fund is properly managed and programmed, the fund may be able to outperform the overall market. However, it could turn into an arms race as the increase in funds driving AI will undermine their advantages. It remains to be seen whether they can consistently outperform passive investments.
• Flexibility: AI-powered funds may be more flexible in dealing with market conditions than traditional human traders. For example, AI may respond by recognizing changes in market volatility and purchasing stocks or funds that may outperform in that environment.

Cons of AI funding

• Limited track record: Many AI-powered funds have been around for some time, so their ability to provide good returns is unknown at best. Investors should look at performance data for at least a few years and then compare it to a basic S&P 500 index fund. This has a long-term track record of approximately 10% annual average returns.
• Low assets under management: Many AI funds have very low assets under management, so there is relatively little interest in the fund (for now). This makes it somewhat difficult to get out of the fund without much impact on price.
• Relatively high cost: Another potential consequence of a small fund is that it may have a higher expense ratio. Small funds don't have much assets to spread costs. As a result, the continued costs for holders are high. The limited track record of these funds may lead investors to pay more for things that are underperforming.

5 AI-driven funding

As of August 11, 2025, five AI-equipped ETFs and some of their related information are listed below.

WisdomTree AI Enhanced Value Fund (AIVL)

The fund uses AI to examine the foundations of a company and market sentiment to identify attractive value price targets. The fund invests in 60-190 stocks with a maximum allocation of 6%. AI will make investment recommendations, but portfolio managers can also make investment decisions at their own discretion. The fund was changed to an AI-powered model in January 2022.

• Managed assets: $387 million
• Cost Ratio: 0.38%

AI Powered EquityETF (AIEQ)

This fund may be what you are thinking when you think about AI choosing stocks. The fund uses IBM Watson to select stocks after researching thousands of American companies, including social media, news, financial statements, and analyst reports. AI will identify 30-200 stocks poised to outperform over the next 12 months.

• Managed assets: $113 million
• Cost Ratio: 0.75%

Vaneck Social SentimentETF (Buzz)

The ETF is technically passively managed and tracks the Buzz NextGen AI US Sentiment Leaders Index. Sentiment is collected from “millions” of data points across news, social media, financial news, and even blogs. The fund has been in existence since March 2021.

• Managed assets: 100 million dollars
• Cost Ratio: 0.76%

WisdomTree International AI Enhanced Value Fund (AIVI)

The fund uses AI models to research and identify value-price stocks, but only includes intermediate and large stocks from developed markets outside the US and Canada. The fund focuses on revenue and capital valuation, and in January 2022 it changed its strategy (and name) to use AI to sift through the market for undervalued stocks.

• Managed assets: $54 million
• Cost Ratio: 0.58%

Qraft ai-Enhanced US big cap momentum ETF (AMOM)

Humans still oversee stores with this fund, but it's an AI that coagulates the market deeply and recommends what to buy. AI has been working well in the recent past and is looking for large momentum stocks that are likely to continue in the near future. The fund began in May 2019.

• Managed assets: $30 million
• Cost Ratio: 0.75%

Conclusion

The idea of choosing an AI-powered inventory is thrilling, but the actual implementation is in the early stages. Investors considering using AI stock picks should carefully consider their needs and costs, as well as the potential performance of the fund compared to traditional ETFs and its costs. It might still be wise to stick to a proven S&P 500 index fund or go to one of the best ETFs and wait for AI stock picking technology to evolve.

Editorial Disclaimer: All investors are advised to conduct their own independent research into investment strategies before making an investment decision. Furthermore, investors recommend that past investment products performance is not a guarantee of future price increases.