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Launched · SEC filings

Amplify AI Powered Equity ETF

AIEQNYSE ArcaC

$50.26+0.15 (+0.30%)

As of Oct 13, 2026, 3:55 PM

C45/ 100

Rank 70 of 127 in US Active Equity

C45/100Rank 70 of 127inUS Active Equity
Intraday session: up, 60 prints from 50.11 to 50.26. Range 50.01 to 50.30. Use the arrow keys to read each point.50.0050.0550.1550.2050.3010 AM12 PM2 PM4 PM
Expense ratio
0.75%
Fund size
$116M
1Y total return
+13.7%
Yield · Last 12 months
0.39%
Holdings
162
Avg volume · 30D
0M sh
NAV per share
$50.26
52W range
low $41.90high $51.56
Launched
Filings
SEC EDGAR

The ETF.net AIEQ Grade

Based on 5 of 6 pillars

C

Score 45 out of 100

Category
US Active Equity⁠
Rank
70 of 127
Six-pillar profile for AIEQ. Scores out of 100: Cost 40, Risk 37, Mission not scored, Tradability 47, Holdings 64, Durability 65. Strongest: Durability (65). Weakest: Risk (37). Based on 5 of 6 pillars.

Score 45 of 100 falls in the C band. A is 70 or higher, B 55 to under 70, C 40 to under 55, D 25 to under 40, F under 25.

  • Cost

    The fund’s net expense ratio, ranked against its category.
    C40 out of 100
    Rank 73 of 127

  • Mission

    Whether the fund did what it promised, tested against its stated mandate.
    Not scored

  • Risk

    How the fund held up when markets fell: downside volatility, drawdowns and tail loss.
    D37 out of 100
    Rank 94 of 126

  • Tradability

    How easy the fund is to trade: daily volume, and how far its price strays from net asset value.
    C47 out of 100
    Rank 63 of 127

  • Holdings

    How concentrated the fund is, and how complete and current its disclosed holdings are.
    B64 out of 100
    Rank 52 of 124

  • Durability

    Whether the fund is likely to stay open, judged by its age, its assets and its issuer’s assets.
    B65 out of 100
    Rank 45 of 127

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 Oct 13, 2026
Asset class
Stocks
Holdings
162
Top-10 weight
42%
Largest holding
AVGO9.2%

Sectors

  • Technology31.7%
  • Communication16.4%
  • Financials15.2%
  • Industrials10.2%
  • Health Care6.1%
  • Consumer Discretionary6.0%
  • Consumer Staples5.4%
  • Materials4.7%
  • Energy2.9%
  • Utilities1.0%
  • Real Estate0.6%

Geography

  • United States99.24%
  • United Kingdom0.57%
  • Netherlands0.05%
  • Bermuda0.05%
  • Switzerland0.05%
  • Singapore0.04%
The fund’s holdings, weight-ordered — page 1 of 11.
#TickerCompanyWeight %SharesMarket valueIn ETFs
001AVGOBroadcom Inc9.24%30,034$11M754
002NFLXNetflix Inc4.32%70,593$5M485
003MAMastercard Inc3.85%7,452$4M526
004NVDANVIDIA Corp3.85%19,584$4M847
005TSNTyson Foods Inc3.79%81,497$4M277
006GEVGE Vernova Inc3.75%4,336$4M484
007UBERUber Technologies Inc3.72%60,044$4M424
008BRK.BBerkshire Hathaway Inc3.71%8,257$4M365
009GOOGAlphabet Inc2.84%9,377$3M478
010OKEONEOK Inc2.68%33,564$3M326
011SNASnap-on Inc2.42%7,695$3M310
012RJFRaymond James Financial Inc2.33%16,951$3M276
013MSFTMicrosoft Corp2.26%4,804$3M815
014FASTFastenal Co2.10%46,998$2M371
015FCXFreeport-McMoRan Inc2.04%32,019$2M375

Showing 1–15 of 162 holdings

AIEQ Performance

Launched Oct 17, 2017

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

Not enough history yet.
AIEQ$11,374
SPY tracks large US stocks. It provides market context, rather than representing this fund’s strategy, asset class or investment benchmark.$12,044
Oct 10, 2025 to Oct 12, 2026. AIEQ $11,374. SPY $12,044. Use the arrow keys to read each point.$9,379$10,818$12,258Oct 2025Apr 2026Oct 2026

Oct 10, 2025 – Oct 12, 2026

Returns run to the Oct 12, 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+11.0%
1 month+0.4%
3 months−0.2%
1 year+13.7%
3 yearsper year+19.4%
5 yearsper year+4.5%
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+11.0%
2025+14.0%
2024+12.5%
2023+26.5%
2022−31.9%
2021+20.1%
2020+25.4%

AIEQ in the news

Filtered to AIEQ · US Active Equity

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 Oct 12, 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.
16.7%
Annualised · 36 months to Sep 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.
0.84
vs 3-month T-bills · to Sep 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.
1.16
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 123 US Active Equity funds charge less.

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

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