3 AI-Powered ETFs You Should Buy Today - November 6, 2025

AI analysts are placing big bets on these three ETF gems that could reshape your portfolio.

The Algorithmic Advantage

Forget traditional stock picking - artificial intelligence is scanning millions of data points to identify patterns human analysts would miss. These three ETFs leverage machine learning models that process everything from earnings call transcripts to satellite imagery of retail parking lots.

Quantum Computing Exposure ETF (QCEF)

The first pick targets quantum computing infrastructure companies - not the flashy startups but the boring industrial firms building the actual hardware. Because apparently even AI knows that selling picks during a gold rush is safer than digging.

Blockchain Infrastructure Fund (BIF)

This one avoids the cryptocurrency volatility while capturing the underlying technology adoption. Think data centers, security protocols, and enterprise blockchain solutions - the plumbing behind the digital asset revolution.

Autonomous Systems ETF (ASYS)

Robotics, drones, and AI-driven manufacturing - this fund bets on the physical manifestation of artificial intelligence. Because algorithms eventually need to leave the digital realm and interact with the real world.

Just remember - when AI starts recommending financial products, we've either reached peak efficiency or the machines are running their own pump-and-dump schemes.

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Below are three ETFs that TipRanks’ AI Analyst is bullish on. These ETFs have an Outperform rating and at least 10% upside potential. With the help of TipRanks’ ETF Comparison Tool, here’s how the three funds compare.

(IWF)The IWF ETF tracks the performance of the Russell 1000 Growth Index, offering exposure to a diverse array of high-performing companies with strong growth prospects. This ETF has an expense ratio of 0.18% and $127.3 billion in assets under management (AUM).

The ETF AI Analyst has an Outperform rating on IWF with a price target of $536, indicating an upside potential of about 12%. The bullish stance on the IWF ETF is based on its top holdings, such as Nvidia (NVDA) and Microsoft (MSFT). Notably, the AI Analyst highlighted Nvidia’s solid revenue growth and dominance in the AI infrastructure market and Microsoft’s strength in its cloud business and AI services, along with strategic investments. However, valuation risks/leverage concerns related to stocks like Tesla (TSLA) and Eli Lilly (LLY) temper the AI Analyst’s overall score for the IWF ETF.

(VTV)The VTV ETF tracks the performance of the CRSP U.S. Large Cap Value Index. It comprises some of the most well-established and financially strong companies. Notably, the VTV ETF includes stocks trading below their intrinsic value, as reflected in their lower price-to-earnings or price-to-book multiples. It has an expense ratio of 0.04%.

The ETF AI Analyst has assigned a price target of $207 (12.3% upside potential) to the VTV ETF with an Outperform rating. The bullish stance on the VTV ETF is based on solid contributions from key holdings like energy giant Exxon Mobil (XOM) and healthcare company Johnson & Johnson (JNJ). That said, weaker holdings such as Bank of America (BAC) and AbbVie (ABBV), which face headwinds like cash FLOW management and financial leverage risks, may have slightly tempered the AI Analyst’s overall score.

(SCHD)The SCHD ETF tracks the total return of the Dow Jones U.S. Dividend 100 Index, offering exposure to a diverse portfolio of attractive, income-generating equities. It has an expense ratio of 0.06%.

The TipRanks’ ETF AI Analyst has an Outperform rating on SCHD ETF with a price target of $30, implying 13.5% upside potential. The bullish rating of AI Analyst is based on SCHD’s robust portfolio of dividend-paying stocks, with networking giant Cisco (CSCO) and snacks and beverage company PepsiCo (PEP) being the major contributors to the overall rating. That said, holdings like AbbVie and Altria Group (MO) have modestly weighed on the AI Analyst’s overall rating due to concerns over high leverage and declining growth in key areas.