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AIEQ ETF Explained: Returns, Expense Ratio, Holdings and Alternative ETFs

Updated October 3, 2026 · First published July 2, 2026

The Amplify AI Powered Equity ETF (AIEQ) tracks an index in which an artificial intelligence model selects US stocks. This guide covers how it is managed, its expense level, its once-a-year distribution, how it differs from similar-strategy ETFs, and the outlook.

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🏷️

What Is the Amplify AI Powered Equity ETF?

This is a US equity ETF that tracks the AI Powered Equity Index. It uses IBM Watson platform technologies, including machine learning, sentiment analysis and natural language processing, to evaluate data on thousands of US companies and determine holdings and weights.

It suits investors interested in picking US stocks with a data-driven algorithm instead of human judgment.

It is a passively managed (index-tracking) ETF run by Amplify.

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How Does the Amplify AI Powered Equity ETF Invest?

ItemDetails
Tracked IndexAI Powered Equity Index (AI Powered Equity Index)
Management StylePassive (index tracking, full replication)
Rebalancing FrequencyRegular rebalancing (reflects model signals)
Dividend/Distribution FrequencyAnnual distribution
IssuerAmplify
Total Expense Ratio0.75%

The EquBot model analyzes news, social media, industry and analyst reports, financial statements, and macro and market data together, and places US companies it judges most likely to rise into the index. The fund follows this index through full replication.

  • Stock selection by IBM Watson-based artificial intelligence
  • An evaluation method that also reflects unstructured data (news and social media)
  • Broad diversification centered on large-cap technology stocks
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Amplify AI Powered Equity ETF Size and Costs (AUM and Management Fee)

Assets under management (AUM) stand at $113.2M, and the total expense ratio is 0.75% per year.

Because the fee is higher than that of market-cap-weighted core ETFs, it is worth weighing the cost of holding it over the long term.

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Amplify AI Powered Equity ETF Performance and Trends

1-Year Price Performance
Dividend & Yield
Dividend Yield 0.40%
Annual Dividend (TTM) $0.19
1Y Return +6.1%
Next Ex-Dividend Date 12/30/2025
52-Week Price Range
$48
Low $42 High $52
vs. low +15.54% vs. high -6.12%

Returns swing widely with the performance of the large-cap technology stocks that carry heavy weights in the fund. Because the model replaces stocks frequently, there are recurring periods when performance diverges from the market index.

It draws attention when interest in the artificial intelligence theme rises, but its assets are small compared with large core ETFs. Changes in interest rates and in appetite for growth stocks affect fund flows.

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Amplify AI Powered Equity ETF Pros and Cons

Its strength is systematic, data-driven stock selection, while the fee burden and concentration in large-cap tech stocks are weaknesses.

💪 Key Strengths

Algorithmic selection
The artificial intelligence model picks stocks using consistent rules, free of emotion.
Wide use of information
It reflects not only financial statements but also signals from news and social media.
Diversified portfolio
Spreading across more than a hundred holdings lowers single-stock risk.

⚠️ Points to Watch

Fee burden
The fee is high even compared with rules-based products such as MOAT (ETF) and the PKW ETF.
Model uncertainty
The basis for the artificial intelligence's decisions is not disclosed, making it hard to interpret the causes of performance.
Tech concentration
Top weightings are concentrated in large-cap tech stocks, exposing the fund to sector volatility.
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Amplify AI Powered Equity ETF Alternative ETFs and Related Products

In the table, the MOAT ETF and the PKW ETF are strategy products that pick stocks by set rules, such as moat companies and share-buyback companies, while the PTLC ETF shifts between stocks and Treasuries based on trend signals. These products tend to have larger assets under management. For low-cost exposure to the entire market, compare a core ETF such as VOO, and to invest in artificial intelligence companies themselves, compare a thematic product such as AIQ.

Peer Comparison ETFs
TickerNamePriceChangeAUMTotal Expense RatioDividend Yield1Y
MOATMOATVanEck Morningstar Wide Moat ETF$112.38-0.0%$11.8B0.46%1.25%+11.2%
PTLCPTLCPacer Trendpilot US Large Cap ETF$59.03-1.7%$3.3B0.60%1%+5.6%
BALTBALTInnovator Defined Wealth Shield ETF$34.97-0.3%$3.2B0.69%-+6.0%
ACIOACIOAptus Collared Investment Opportunity ETF$46.30-1.5%$2.4B0.79%0.39%+5.3%
PKWPKWInvesco BuyBack Achievers ETF$150.53-0.3%$1.8B0.63%0.64%+16.8%
Top Holdings
TickerNameWeightPriceChangeMarket CapP/EDividend Yield
UUUnity Software Inc0.03%$37.70-4.0%$16.6B--
GMEGMEGamestop Corp0.03%$24.23+1.0%$12.2B16.1-
RBLXRoblox Corp0.03%$42.99-18.1%$30.7B--
BILIBILIBilibili Inc ADR0.03%$12.68-1.5%$4.3B26.4-
CRSRCRSRCorsair Gaming Inc0.03%$12.60-8.2%$1.4B41.1-
TTWOTake-Two Interactive Software Inc0.03%$190.17-1.7%$35.6B--
PLTKPLTKPlaytika Holding Corp0.03%$1.98+0.5%$755.2M-6.12%
AMDAdvanced Micro Devices Inc0.01%$504.80-10.9%$824.1B129.6-
ARMArm Holdings Plc ADR0.01%$205.97-10.0%$220.0B211.3-
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Amplify AI Powered Equity ETF Investor Checkpoints

These are the points to review before investing in this ETF. Because artificial intelligence picks the stocks, you should check the fee cost, the model's long-term performance, and the degree of sector concentration in advance.

CheckpointWhat to CheckCurrent Status
💵 Expense ratioCost difference versus core ETFsSomewhat high
🤖 Model performanceLong-term performance versus the market indexNeeds verification
📊 Sector concentrationTrend in large-cap tech weightingHeavy tech weighting
💱 Exchange rateImpact on returns converted to wonNo currency hedge

If the model is slow to reflect changes in market conditions, underperformance versus the index can drag on. During corrections in large-cap tech stocks, losses grow larger, and frequent stock replacement adds to the cost burden.

It suits investors who want to add a data-driven selection strategy to part of their portfolio. If cost is the priority, compare its long-term performance with core ETFs before deciding on a weighting.

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Disclaimer: This content is for informational purposes only and does not constitute investment advice. All investment responsibility lies with the investor.

This article reflects information as of October 3, 2026.

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