First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation

ISIN IE000YIQZ0H6

 | 

WKN A40WTN

 | 

Ticker FTAI

TER
0.65% p.a.
Distribution policy
Accumulating
Replication
Physical
Fund size
EUR 4 m
Inception Date
2 July 2025
 

Overview

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Description

The First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation seeks to track the Bloomberg Artificial Intelligence Select index. The Bloomberg Artificial Intelligence Select index tracks the performance of companies worldwide that are engaged in the field of artificial intelligence.
 
The ETF's TER (total expense ratio) amounts to 0.65% p.a.. The ETF replicates the performance of the underlying index by full replication (buying all the index constituents). The dividends in the ETF are accumulated and reinvested in the ETF.
 
The First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation is a very small ETF with 4m Euro assets under management. The ETF was launched on 2 July 2025 and is domiciled in Ireland.
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Chart

Basics

Data

Index
Bloomberg Artificial Intelligence Select
Investment focus
Equity, World, Technology, Social/Environmental
Fund size
EUR 4 m
Total expense ratio
0.65% p.a.
Replication Physical (Full replication)
Legal structure ETF
Strategy risk Long-only
Sustainability Yes
Fund currency USD
Currency risk Currency unhedged
Volatility 1 year (in EUR)
-
Inception/ Listing Date 2 July 2025
Distribution policy Accumulating
Distribution frequency -
Fund domicile Ireland
Fund Provider First Trust
Germany Unknown
Switzerland No ESTV Reporting
Austria Tax Reporting Fund
UK UK Reporting
Indextype Total return index
Swap counterparty -
Collateral manager
Securities lending No
Securities lending counterparty

Similar ETFs

This section provides you with information on other ETFs with a similar investment focus to the First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation.
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Order fees

Here you can find information about different brokers that allow you to trade ETFs. Select your preferred order volume to compare the fees charged by the respective brokers.
 
Broker Rating Order fee ETF savings plans
0.99 €
3043
View offer**
0.00 €
1871
View offer*
0.00 €
2280
View offer*
9.95 €
1555
View offer*
6.15 €
1229
View offer*
Show all offers
Source: justETF Research; as of 3/2026. The offers are sorted in the following way: 1. Rating 2. Order fee 3. Number of ETF savings plans. In addition to the fees charged by online brokers, additional costs may apply. The stated fees are thus exclusive of standard market spreads, commissions, product costs and third-party fees. Please note: No guarantee can be given for the completeness, correctness and accuracy of the content listed. The information on the online brokers' homepages is decisive. Investments in securities involve risks.
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** Important note: We are part of the Scalable Group since 2021 and are a wholly owned subsidiary of Scalable GmbH. This means that we are economically connected, but operate with editorial independence. Conflicts of interest are avoided because brokers — including Scalable — are evaluated according to uniform, objective criteria. You can view these in our transparent rating system. Ultimately, it’s up to you to decide how and with whom you want to invest.

Performance

Returns overview

YTD -1.63%
1 month +4.30%
3 months +2.90%
6 months +4.52%
1 year -
3 years -
5 years -
Since inception (MAX) +15.93%
2025 -
2024 -
2023 -
2022 -

Monthly returns in a heat map

Risk

Risk metrics in this section:
 
  • Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
  • Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
  • Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
ETF returns include dividend payments (if applicable).
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Risk overview

Volatility 1 year -
Volatility 3 years -
Volatility 5 years -
Return per risk 1 year -
Return per risk 3 years -
Return per risk 5 years -
Maximum drawdown 1 year -
Maximum drawdown 3 years -
Maximum drawdown 5 years -
Maximum drawdown since inception -14.02%

Rolling 1 year volatility

Stock exchange

Listings

Listing Trade Currency Ticker Bloomberg /
iNAV Bloomberg Code
Reuters RIC /
iNAV Reuters
Market Maker
Borsa Italiana EUR FTAI -
-
-
-
-
London Stock Exchange GBX FGPT FGPT LN

London Stock Exchange USD FTAI FTAI LN

SIX Swiss Exchange CHF FGPT FTAI SW

Further information

Further ETFs with similar investment focus

Fund name Fund Size in m € (AuM) TER p.a. Distribution Replication
Xtrackers Artificial Intelligence & Big Data UCITS ETF 1C 5,640 0.35% p.a. Accumulating Full replication
L&G Artificial Intelligence UCITS ETF 1,237 0.49% p.a. Accumulating Full replication
Amundi MSCI Robotics & AI UCITS ETF Acc 923 0.40% p.a. Accumulating Full replication
WisdomTree Artificial Intelligence UCITS ETF USD Acc 872 0.40% p.a. Accumulating Full replication
Invesco Artificial Intelligence Enablers UCITS ETF Acc 19 0.35% p.a. Accumulating Full replication

Frequently asked questions

What is the name of FTAI?

The name of FTAI is First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation.

What is the ticker of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation?

The primary ticker of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation is FTAI.

What is the ISIN of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation?

The ISIN of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation is IE000YIQZ0H6.

What are the costs of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation?

The total expense ratio (TER) of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation amounts to 0.65% p.a.. These costs are withdrawn continuously from the fund assets and already included in the performance of the ETF. You don't have to pay them separately. Please have a look at our article for more information about the cost of ETFs.

Is First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation paying dividends?

First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation is an accumulating ETF. This means that dividends are not distributed to investors. Instead, dividends are reinvested in the fund on the ex-date, which leads to an increase of the ETF's share price.

What's the fund size of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation?

The fund size of First Trust Bloomberg Artificial Intelligence UCITS ETF Class A Accumulation is 4m Euro. See the following article for more information about the size of ETFs.

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— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH.

Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.