AI ETF NYSEARCA: AIEQ Amplify ETFs

Amplify AI Powered Equity ETF (AIEQ)

The AI-managed ETF — IBM Watson picks the stocks. Meta meets ETF.

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✓ Reviewed by Get AI Decoded Editorial Team Updated April 2026

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Key Fund Stats

0.75%

Expense Ratio

Annual fee charged by the fund

$0.11B

Assets Under Management

Total fund AUM as of April 2026

163

Holdings

Number of positions in the fund

2017

Inception Year

Year the fund launched

+null%

YTD Return

Year-to-date · live

+null%

1-Year Return

Trailing 12 months · live

—

52-Week Range

Low — High (live)

4/5

AI Exposure Score

Strong AI exposure with some diversification.

⚡⚡⚡⚡⚡

⚡ About AI Exposure Score: Reflects how heavily this ETF tilts toward AI and automation revenue. 5 = nearly all holdings are AI-driven. 1 = AI is a minor theme. Editorial assessment — not a buy/sell signal.

What is AIEQ?

The Amplify AI Powered Equity ETF (AIEQ) is unique in the ETF universe: it is literally managed by an AI. The fund uses IBM Watson's natural language processing to analyze millions of data points daily — news, earnings calls, SEC filings, social sentiment — and selects roughly 30–70 equity positions with the highest probability of outperforming the S&P 500 over the next 12 months.

Launched in October 2017, AIEQ was the first AI-managed ETF to hit the market, and it remains one of the most conceptually compelling AI exposure plays. With $109M in AUM and 163 current holdings, the fund is actively reconstituted as Watson's conviction shifts. It's a fund where the manager isn't human — and for investors who want to bet on AI making investment decisions as much as investing in AI companies, AIEQ is the only pure expression of that thesis.

Top 5 Holdings

Holding	Weight
Diversified AI-selected portfolio	100%

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Upcoming Catalysts

Watson-driven selection reacts to market data 24/7 — faster than human fund managers
One of the only ETFs where AI is both the theme AND the portfolio manager
Semi-annual dividend provides income component uncommon in pure AI ETFs
Broad 163-holding base reduces single-stock concentration risk vs thematic ETFs

Key Risks

AI portfolio management is largely unproven at scale — Watson's track record vs benchmarks is mixed
Small AUM ($109M) means tighter spreads and lower liquidity vs large ETFs
0.75% expense ratio is on the higher end for an actively managed fund
Strategy opacity — AI decision rationale is not always transparent to investors

Compare with Similar ETFs

ARKQ — ARK's high-conviction AI + autonomous vehicles bet. Cathie Wood's robotics fund.
CHAT — The purest GenAI ETF — built for the ChatGPT era.
AIQ — Broad AI technology exposure — software, hardware, and infrastructure in one fund.

Sources: Amplify ETFs product page, StockAnalysis.com (April 2026)

⚠️ Not financial advice. ETF data is for informational purposes only. Expense ratios, holdings, and returns change — verify current data on the fund issuer's website before investing. Past performance does not guarantee future results.