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Amplify AI Powered Equity ETF (AIEQ) Fund Overview

Educational signal · not a buy or sell recommendation · How to read this

$49.45 +$0.5815 (+1.19%)
Vol: 3.4K|

Beta 1.19: the stock has moved about 19% more than the S&P 500.

Data from FMP · Methodology

For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.5-flash, generated Jun 15, 2026. Editorial oversight is systemic, not page-by-page. Editorially accountable: Sedat ANAK, Founder and Editor-in-Chief. Data sources: Financial Modeling Prep, Yahoo Finance, SEC EDGAR

Quick Answer

Amplify AI Powered Equity ETF (AIEQ) trades at $49.45. Amplify AI Powered Equity ETF (AIEQ) is an actively managed exchange-traded fund that leverages artificial intelligence, specifically the IBM Watson platform, to select and weight equity investments. Sector: Financials.

Price as of · Last analyzed: Jun 15, 2026
Amplify AI Powered Equity ETF (AIEQ) is an actively managed exchange-traded fund that leverages artificial intelligence, specifically the IBM Watson platform, to select and weight equity investments. Its objective is to achieve long-term capital appreciation by employing a data-driven approach that aims to remove human bias from security selection.

Analyst Coverage for AIEQ: AIEQ does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage.

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Amplify AI Powered Equity ETF (AIEQ) Financial Services Profile

IPO Year2017

Amplify AI Powered Equity ETF (AIEQ) offers investors exposure to a portfolio of U.S. equities, actively managed by an AI system powered by IBM Watson. This data-driven approach analyzes extensive historical and real-time information to identify investment opportunities, aiming for long-term capital appreciation by minimizing human bias in security selection within the asset management sector.

Data Provenance | Financial Data Quantitative Analysis Analysis: Jun 15, 2026

What Is the Investment Thesis for AIEQ?

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

The investment thesis for Amplify AI Powered Equity ETF (AIEQ) centers on its innovative, actively managed approach leveraging artificial intelligence for equity selection, aiming for long-term capital appreciation. AIEQ's reliance on the IBM Watson platform and its proprietary AI system to analyze up to 10 years of historical data, combined with current economic news, represents a significant value driver by seeking to eliminate human bias and enhance decision-making efficiency. With a market capitalization of $0.12 billion and a Beta of 1.19, the fund offers exposure to a systematic investment strategy. Key growth catalysts include the increasing institutional and retail investor demand for sophisticated, data-driven investment products and the potential for the AI model to demonstrate consistent outperformance across various market cycles. However, investors must consider the inherent risks, such as the potential for unforeseen model errors or the AI's limitations in adapting to unprecedented market conditions. Monitoring the fund's tracking error relative to its benchmark and the performance of its AI-driven selections is crucial for assessing its long-term viability.

Based on FMP financials and quantitative analysis

AIEQ Key Highlights

AI-written as of Jun 15, 2026 — figures and tone reflect the data available then, not today's score.

Manages approximately $0.12 billion in assets under management (Market Cap: $0.12B), indicating its current scale within the ETF market.

  • Exhibits a Beta of 1.19, suggesting a slightly higher volatility compared to the broader market.
  • Leverages the IBM Watson platform, a leading artificial intelligence technology, for its core investment strategy.
  • Employs a proprietary AI system that analyzes up to 10 years of historical data, recent economic data, and news articles for security selection.
  • Operates as an actively managed ETF, aiming for long-term capital appreciation through unbiased, data-driven equity investment decisions.

Who Are AIEQ's Competitors?

AIEQ is benchmarked below against 8 industry peers on price, market cap, and our AI MoonshotScore.

Company Price Change Market Cap MoonshotScore
BLK BlackRock, Inc. $1059.63 -0.44% $164B 49 5-pillar
BX Blackstone Inc. $111.74 -0.45% $135B 67 5-pillar
APOS Apollo Global Management, Inc. $25.59 -0.23% $74.8B 55 5-pillar
BAM Brookfield Asset Management $44.85 +0.65% $71.6B 58 5-pillar
AMP Ameriprise Financial, Inc. $490.91 -0.79% $44.1B 76 5-pillar
ARES Ares Management Corporation $117.55 +0.84% $38.6B 56 5-pillar
TROW T. Rowe Price Group, Inc. $104.62 -1.14% $22.4B 84 5-pillar
ATHS Athene Holding Ltd. $23.51 -0.63% $18.8B 55 5-pillar

AI Score by Stock Expert AI · Price data: FMP / Yahoo Finance

What Are AIEQ's Key Strengths?

Utilizes a sophisticated, proprietary AI system for unbiased security selection.

  • Leverages the powerful and recognized IBM Watson platform for its index management.
  • Employs a comprehensive data analysis approach, including 10 years of historical data, economic data, and news.
  • Aims to mitigate human emotional biases in investment decisions, offering a systematic approach.

What Are AIEQ's Weaknesses?

High reliance on a complex AI model, introducing the risk of unforeseen model errors or limitations.

  • Potential for tracking error relative to its benchmark, requiring careful monitoring.
  • Performance is contingent on the AI's ability to adapt to novel or unprecedented market conditions.
  • Does not pay a dividend, which may deter income-focused investors.

What Are the Key Risks for AIEQ?

Unforeseen model errors or limitations within the proprietary AI system, particularly during novel or highly volatile market conditions not adequately represented in training data.

  • Risk of tracking error, where the fund's performance may deviate from its underlying AI Powered Equity Index, impacting investor expectations.
  • Intense competition from other asset managers launching similar AI-driven or quantitative funds, potentially diluting AIEQ's market share and asset growth.
  • Regulatory changes or increased scrutiny on AI-driven investment products, which could lead to higher compliance costs or operational restrictions for the fund.

What Threats Does AIEQ Face?

  • Intense competition from other actively managed funds, quantitative funds, and emerging AI-driven investment products.
  • Regulatory scrutiny or changes concerning AI-driven investment products could impact operations or compliance costs.
  • Market conditions that are not conducive to AI models or where historical data patterns break down.
  • Technological obsolescence if the AI model or platform fails to keep pace with industry innovations.

What Are AIEQ's Competitive Advantages?

  • Proprietary AI System: The fund's unique algorithm and methodology for security selection, developed in-house, provide a distinct analytical edge.
  • IBM Watson Platform Integration: Leveraging the advanced capabilities and brand recognition of the IBM Watson platform offers a significant technological and credibility advantage.
  • Data-Driven Unbiased Approach: The systematic processing of vast datasets aims to reduce human cognitive biases, potentially leading to more consistent and objective investment decisions.
  • First-Mover Advantage in AI-Powered ETFs: Being among the early entrants in the specialized niche of AI-managed ETFs has allowed AIEQ to establish a position in this evolving market segment.

What Does AIEQ Do?

The Amplify AI Powered Equity ETF (AIEQ) represents a significant evolution in the asset management industry, offering an actively managed exchange-traded fund that harnesses the capabilities of artificial intelligence for security selection. The fund's core strategy is to achieve investment results that generally correlate, before fees and expenses, to the total return performance of the AI Powered Equity Index. This innovative index operates on the robust IBM Watson platform, a testament to the fund's commitment to cutting-edge technology in investment management. AIEQ's approach is designed to be unbiased and data-driven, fundamentally transforming the traditional methods of security selection. It achieves this by analyzing an extensive dataset comprising up to 10 years of historical financial data. This deep historical analysis is then complemented by the application of recent economic data and news articles, allowing the AI system to process and interpret a vast array of information that would be impractical for human analysts to manage comprehensively. The ultimate goal of this sophisticated methodology is to identify U.S. listed companies with strong potential for long-term capital appreciation, while systematically working to remove human biases that can often influence investment decisions. As an actively managed ETF, AIEQ's holdings are dynamically determined by its proprietary AI system, which continuously evaluates the market. This positions AIEQ as a distinct offering within the financial services sector, catering to investors seeking exposure to a systematic, technology-driven investment strategy.

What Products and Services Does AIEQ Offer?

  • Manages an actively managed Exchange-Traded Fund (ETF) focused on U.S. equity investments.
  • Utilizes a proprietary Artificial Intelligence (AI) system for selecting and weighting equity holdings.
  • Employs the IBM Watson platform as the underlying technology for its AI Powered Equity Index.
  • Analyzes up to 10 years of historical financial data, recent economic data, and news articles.
  • Aims to achieve long-term capital appreciation for investors.
  • Seeks to remove human bias from the investment decision-making process through its data-driven AI approach.
  • Correlates its investment results to the total return performance of the AI Powered Equity Index.

How Does AIEQ Make Money?

  • Generates revenue primarily through management fees charged to the fund's assets under management (AUM).
  • Operates as an ETF, providing daily liquidity and transparency for investors.
  • Relies on the performance of its AI-driven investment strategy to attract and retain investor capital.
  • Incurs operational expenses, including platform fees for IBM Watson and administrative costs, which are covered by the fund's expense ratio.

What Industry Does AIEQ Operate In?

The Amplify AI Powered Equity ETF (AIEQ) operates within the dynamic and increasingly competitive asset management industry, a sector undergoing significant transformation driven by technological advancements. The broader industry is witnessing a robust trend towards quantitative investing and the integration of artificial intelligence and machine learning into investment strategies. This shift is fueled by the desire for enhanced decision-making, reduced human bias, and the ability to process vast amounts of data efficiently. AIEQ positions itself at the forefront of this trend by offering an actively managed ETF powered by the IBM Watson platform. While the overall ETF market continues its rapid expansion, driven by investor demand for cost-effective and flexible investment vehicles, the sub-segment of AI-driven funds is still nascent but growing. AIEQ competes not only with traditional actively managed funds but also with other quantitative and smart-beta ETFs, as well as a growing number of specialized AI-focused investment products. Its differentiation lies in its explicit reliance on a sophisticated AI system for security selection, aiming to capture market inefficiencies through a systematic, data-intensive approach.

Who Are AIEQ's Key Customers?

  • Institutional investors seeking exposure to AI-driven quantitative strategies.
  • Retail investors interested in technology-forward investment solutions.
  • Investors looking for long-term capital appreciation through systematic equity selection.
  • Individuals and entities aiming to diversify their portfolios with an actively managed, AI-powered fund.
Model self-rating on this text: 68% (not a measure of the evidence) Updated: Jun 15, 2026

Research confidence

Low

Thin evidence — scoring coverage unknown. Treat this as a starting point, not a conclusion.

  • ● Scoring coverage unknown
  • ● Price is current
  • ● No filing on record
  • ● No analyst coverage
  • ● This is an etf, not an operating company

MoonshotScore History

Recorded daily since 2026-08-23 · 41 snapshots

2026-08-23 47
2026-08-31 47
2026-09-08 47
2026-09-16 47
2026-09-24 47
2026-10-04 47

What changed?

The score has stayed at 47.

Over the same 30 days the stock moved -2.3%.

AIEQ Financials

Bull Case vs Bear Case

Bull Case

  • Utilizes a sophisticated, proprietary AI system for unbiased security selection.
  • Leverages the powerful and recognized IBM Watson platform for its index management.
  • Employs a comprehensive data analysis approach, including 10 years of historical data, economic data, and news.
  • Aims to mitigate human emotional biases in investment decisions, offering a systematic approach.

Bear Case

  • High reliance on a complex AI model, introducing the risk of unforeseen model errors or limitations.
  • Potential for tracking error relative to its benchmark, requiring careful monitoring.
  • Performance is contingent on the AI's ability to adapt to novel or unprecedented market conditions.
  • Does not pay a dividend, which may deter income-focused investors.

AI-generated arguments based on insider flow, news sentiment and technicals — not financial advice · June 2026

AIEQ Latest News

AIEQ Analyst Consensus

Consensus Rating

Aggregated Buy/Hold/Sell recommendations collected by Financial Modeling Prep for AIEQ.

Price Targets

Wall Street price target analysis for AIEQ.

AIEQ MoonshotScore

MoonshotScore is Stock Expert AI's proprietary 0-100 research rating, not a buy or sell recommendation. No MoonshotScore is published for AIEQ; grades run from A+ (80-100) to F (below 30).

Common Questions About AIEQ (Financials)

What are the potential risks associated with investing in an AI-powered ETF like AIEQ?

Investing in an AI-powered ETF like AIEQ carries several specific risks. A primary concern is the reliance on a complex artificial intelligence model, which, despite its sophistication, is susceptible to unforeseen errors or limitations.

Disclaimer: This content is for informational purposes only and does not constitute investment advice. Always do your own research and consult a financial advisor.

Official Resources

Price as of Analysis updated

MoonshotScore is not published for this security.

Data Sources & Methodology
Figures come from Financial Modeling Prep (FMP). If FMP has no figure for a ticker, a price or fundamental may come from a Yahoo Finance fallback, or a price from an Alpaca fallback. SEC EDGAR is used only for filing links and company identity details (legal name, address), never for figures. AI analysis by Stock Expert AI proprietary algorithms. Technical indicators via industry-standard calculations. Last updated: .
Data Provenance
Sources: Financial Modeling Prep (FMP) — Primary · Yahoo Finance — Fallback · Alpaca — Tertiary
Last fetched:
Cache TTL: Quote 5min · Profile 7d · Financials 7d · Insider 48h
How we use AI: Numbers are pulled directly from FMP & Yahoo Finance — our AI writes the analysis, it never edits the figures.
Data provided as-is for educational purposes. Not financial advice. Methodology

Data provided for informational purposes only.

Analysis Notes
  • Information is directly derived from the provided source data. Limited specific financial metrics beyond market cap and beta were available.
Data Sources
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis