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AIEQ

GradeCNew York Stock Exchange Arca

Amplify AI Powered Equity ETF

Active Equity · Amplify · Inception 2017-10-17 · SEC filings

$49.74−0.19 (−0.39%)

As of Sep 23, 2026, 2:11 PM EDT

Intraday session: down, 35 prints from 49.93 to 49.74. Range 49.61 to 49.78. Use the arrow keys to read each point.$49.60$49.65$49.70$49.8010 AM12 PM2 PM4 PM
Expense ratio
0.75%
Fund size
$120M
1Y return
+10.9%
Yield · Last 12 months
0.39%
Holdings
161
Volume · 30D
0M sh
NAV per share
$49.93
52W range
low $41.90high $51.56

The ETF.net AIEQ Grade

C

44/ 100

Rank 72 of 127 in US Active Equity

Confidence Medium

Six-pillar profile for AIEQ. Scores out of 100: Cost 39, Risk 35, Mission not scored, Tradability 42, Holdings 62, Durability 71. Strongest: Durability (71). Weakest: Risk (35). Based on 5 of 6 pillars.
F< 25
D≥ 25
C≥ 40
B≥ 55
A≥ 70

Score 44 of 100 sits in the C band. Bands: A ≥ 70, B ≥ 55, C ≥ 40, D ≥ 25, F < 25; the scale skips E.

  • Cost

    What you pay to own it — the expense ratio plus trading frictions, ranked within its category.
    DScore 39
    Category rank75/127 · mid-pack
  • Mission

    How faithfully it does the job it claims — tracking its mandate or index with minimal slippage.
    Not scored
  • Risk

    How violently it can move — volatility, drawdown depth, and downside capture versus its category.
    DScore 35
    Category rank95/126 · bottom quartile
  • Tradability

    How cheaply and easily you can get in and out — liquidity, spread, and premium/discount stability.
    CScore 42
    Category rank74/127 · mid-pack
  • Holdings

    What it actually owns — the quality, breadth, and concentration of the underlying portfolio.
    BScore 62
    Category rank56/124 · top 45%
  • Durability

    Whether it will still be here — the fund’s assets, age, flows, and issuer staying power.
    AScore 71
    Category rank31/127 · top 24%

Graded as of Sep 22, 2026 · Based on 5 of 6 pillars

Our read on AIEQ

ETF.net Research

CMost AI funds buy AI companies. AIEQ flips it: a machine-learning model running on the IBM Watson platform reads news, filings and market data to pick US stocks. Live since 2017, it is one of the original AI-run ETFs.

Stated mandate

The fund seeks to track the total-return performance of the AI Powered Equity Index before fees and expenses. Its AI-driven process uses historical, economic, and news information to select securities.

Why people hold it

  1. 01The AI does the picking, not just the pitching. The index uses historical, economic and news information to select US stocks, so you get a machine's read on the market rather than a basket of AI vendors.amplifyetfs.com
  2. 02Trading since October 2017, it has one of the longest real-world records of any AI-driven ETF, built well before the post-ChatGPT rush of launches.amplifyetfs.com
  3. 03The book spreads across well over a hundred US names of all sizes, so it is not another chip-and-hyperscaler concentration play.

Worth knowing

  1. 01Active-style machinery, active-style price: 0.75% a year, versus index-built AI peers like XAIX (0.35%), QTUM (0.40%) and ARTY (0.47%).
  2. 02It is a small fund and thinly traded next to the household-name AI ETFs, which can mean wider spreads at the moment you trade.
  3. 03The model is proprietary. You can see the holdings, but not the reasoning that produced them, and the mix shifts as the model updates.amplifyetfs.com

AIEQ Holdings

As of Sep 20, 2026, 5:09 AM
Asset class
Stocks
Holdings
161
Top-10 weight
44%
Largest holding
TEL6.1%

Sectors

  • Technology31.1%
  • Financials11.9%
  • Industrials10.7%
  • Communication10.1%
  • Consumer Discr.9.0%
  • Energy8.8%
  • Cons. Staples7.4%
  • Health Care5.6%
  • Utilities3.2%
  • Materials1.7%
  • Real Estate0.6%

Geography

  • United States88.15%
  • Ireland6.16%
  • Switzerland5.04%
  • United Kingdom0.39%
  • Singapore0.21%
  • Netherlands0.05%
The fund’s holdings, weight-ordered — page 1 of 11.
#TickerCompanyWeight %SharesMarket valueIn ETFs
001TELTE Connectivity PLC6.14%35,523$7M329
002CBChubb Ltd4.99%17,404$6M239
003NFLXNetflix Inc4.92%81,407$6M493
004GEVGE Vernova Inc4.61%5,826$5M473
005NVDANVIDIA Corp4.44%23,723$5M828
006AFLAflac Inc4.42%45,133$5M298
007TSNTyson Foods Inc4.21%94,671$5M280
008BIIBBiogen Inc3.56%19,649$4M331
009GOOGLAlphabet Inc3.38%11,475$4M704
010MSFTMicrosoft Corp3.31%7,958$4M792
011HWMHowmet Aerospace Inc3.17%16,417$4M363
012GOOGAlphabet Inc3.03%10,455$4M471
013AVGOBroadcom Inc2.76%9,179$3M732
014FFIVF5 Inc2.61%7,186$3M333
015CVNACarvana Co2.30%42,048$3M273

Showing 1–15 of 161 holdings

AIEQ Performance

Shows how $10,000 changes over the selected period, with cash distributions reinvested at the closing price on each ex-dividend date.

AIEQ$11,086
SPY tracks large US stocks. It provides market context, rather than representing this fund’s strategy, asset class or investment benchmark.$11,723
Sep 22, 2025 to Sep 22, 2026. AIEQ $11,086. SPY $11,723. Use the arrow keys to read each point.$9,143$10,549$11,956Sep 2025Mar 2026Sep 2026

Sep 22, 2025 – Sep 22, 2026

Returns run to the Sep 22, 2026 close, with cash distributions reinvested. Each period starts on the same date that many months or years earlier. Periods over one year show the average yearly return.

Trailing total return for AIEQ. Periods over one year show the average yearly return.
PeriodAIEQ
Year to date+10.6%
1 month−1.5%
3 months+1.1%
1 year+10.9%
3 years+19.0%per year
5 years+4.1%per year
10 yearsFund is under 10 years oldper year

As of the close, with distributions reinvested.

Calendar-year total return with cash distributions hypothetically reinvested at the ex-dividend date’s closing price. The current year shows year to date.

Annual total returns for AIEQ
YearReturn barAIEQ
2026 YTD+10.6%
2025+14.0%
2024+12.5%
2023+26.5%
2022−31.9%
2021+20.1%
2020+25.4%

AIEQ in the news

ETF.net Research hasn’t filed on AIEQ yet — coverage lands here as it’s written.

AIEQ Dividends

Adds up every distribution paid per share over the last 12 months, divided by the last completed close. Distributions are counted by ex-date. Data through Sep 22, 2026.
0.39%Last 12 months
Payout per share
$0.19Last 12 months
Last payment
$0.19 per share
Paid on
Shares bought on or after this date do not qualify for this distribution.
Frequency
Annual

Distribution history

2017–2026

One bar per payment. 24 payments from 2017 to 2026 YTD. Dec 26, 2017 $0.04; Mar 20, 2018 $0.03; Jun 19, 2018 $0.04; Sep 25, 2018 $0.02; Dec 24, 2018 $1.90; Mar 26, 2019 $0.09; Jun 28, 2019 $0.02; Sep 20, 2019 $0.05; Dec 30, 2019 $0.01; Mar 17, 2020 $0.06; Jun 15, 2020 $0.06; Dec 14, 2020 $0.02; Mar 23, 2021 $0.02; Dec 28, 2021 $0.72; Dec 28, 2022 $0.03; Mar 22, 2023 $0.09; Jun 21, 2023 $0.12; Sep 20, 2023 $0.13; Dec 27, 2023 $0.0073; Mar 26, 2024 $0.15; Jun 27, 2024 $0.06; Sep 27, 2024 $0.04; Dec 30, 2024 $0.01; Dec 30, 2025 $0.19. Use the arrow keys to read each point.2017201820192020202120222023202420252026YTD
Ex-datePay dateAmount per share
Dec 30, 2025Dec 31, 2025$0.19
Dec 30, 2024Dec 31, 2024$0.01
Sep 27, 2024Sep 30, 2024$0.04
Jun 27, 2024Jun 28, 2024$0.06
Mar 26, 2024Mar 28, 2024$0.15
Dec 27, 2023Dec 29, 2023$0.0073
Sep 20, 2023Sep 22, 2023$0.13
Jun 21, 2023Jun 23, 2023$0.12
Mar 22, 2023Mar 24, 2023$0.09
Dec 28, 2022Dec 30, 2022$0.03
Dec 28, 2021Dec 30, 2021$0.72
Mar 23, 2021Mar 25, 2021$0.02

AIEQ Risk

How much the fund’s monthly returns vary, scaled to a year.
16.9%
Annualised · 36 months to Aug 2026
How it’s calculated: standard deviation

The sample standard deviation of monthly total returns, multiplied by the square root of 12.

Uses up to 36 complete months, with at least 12 required. Total returns include reinvested distributions.

Return above 3-month US Treasury bills per unit of volatility.
0.78
vs 3-month T-bills · to Aug 2026
How it’s calculated: Sharpe ratio

Subtract each month’s Treasury-bill return from the fund’s monthly total return.

Divide the average of those excess returns by their sample standard deviation, then multiply by the square root of 12.

Uses up to 36 complete months, with at least 12 required. Each month uses the Treasury yield quoted at the end of the previous month.

The largest fall from a peak to the low that followed.
−39.0%
Trough May 2023
How it’s calculated: maximum drawdown

The largest percentage decline from an earlier peak, using total returns with reinvested distributions.

Uses up to five years through the last close, with at least 12 months required.

How strongly the fund’s returns move with its asset-class index.
1.13
vs its asset-class index
How it’s calculated: beta

The beta figure is supplied by FMP. The comparison index depends on the fund’s broad asset class.

AIEQ Cost

Expense ratio0.75%
  • The middle half of US Active Equity funds
  • Median 0.70%

70 of the 124 US Active Equity funds charge less.

AIEQ costs $75.00 a year on $10,000. The median US Active Equity fund costs $70.00.