The AI shelf’s active tier gained its heavyweight in January 2025: the iShares AI Innovation Active UCITS ETF (IART, ISIN IE000G0E83X3) — a concentrated 20–40 stock “best ideas” portfolio run by Tony Kim and Reid Menge of BlackRock’s Fundamental Equities technology group, spanning the AI value chain at a 0.73% TER. It lands directly opposite ARK’s ARKI (0.75%) in the category this site calls conviction-AI — and completes an AI shelf that now runs the full spectrum from index breadth to managed concentration.
This review maps IART’s philosophy against ARK’s (same fee, opposite temperaments), against the index tier, and against the standing question every active AI product must answer: what does the extra fee buy that the screens don’t already deliver? Verified against iShares and justETF, August 2026.
IART key facts
| Fact | Detail |
|---|---|
| ISIN | IE000G0E83X3 |
| Ticker | IART |
| TER | 0.73% per year |
| Structure | Active — concentrated best-ideas, 20–40 names |
| Managers | Tony Kim & Reid Menge, BlackRock Fundamental Equities |
| Launched | 16 January 2025 |
| Use of income | Accumulating |
| Domicile | Ireland (UCITS) |
The philosophy: institutional conviction, not disruption theology
IART’s managers run BlackRock’s flagship technology franchise — deep fundamental research across the sector’s earnings machinery — and the fund imports that discipline rather than a thematic manifesto: a concentrated book across the AI value chain (silicon, infrastructure, platforms, applications) weighted by researched conviction in business outcomes, not cost-curve projections. The contrast with ARKI is the category’s defining fork: ARK bets on disruption timelines with venture-style tolerance for pre-profit stories; IART’s heritage is earnings-driven tech investing — expect established-profitability tilts, valuation discipline within growth, and turnover following results seasons rather than thesis revisions. Same fee neighborhood, opposite temperaments: the amplitude gap between the two funds should prove structural, and choosing between them is choosing a risk appetite, not a quality tier.
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The four-tier AI shelf, completed
- Index breadth (XAIX, 0.35–0.39%): the mechanical whole-stack default — the tier every other tier must justify itself against.
- Infrastructure (AINF, 0.35%): the buildout’s invoice — the physical layer isolated.
- Institutional conviction (IART, 0.73%): researched concentration in the chain’s expected winners — this review’s subject.
- Venture conviction (ARKI, 0.75%): disruption-timeline bets at maximum amplitude.
The standing rule sharpens with the shelf’s completion: one AI vehicle per portfolio — the four tiers are alternative answers to the same allocation, and stacking them compounds fees on overlapping names while pretending diversification. The thesis sentence picks the tier; the tier picks the fund.
The active-fee arithmetic, honestly
IART’s 0.73% doubles the index tier’s toll, and the doubling must earn roughly 0.4% of annual outperformance just to tie — against an index tier that already owns every name the managers can pick, at market weights. The case for paying it: concentration is the only honest expression of research edge (a 30-name book can actually beat the screen; a 200-name active fund cannot), the managers’ franchise is genuinely first-tier, and the AI chain’s dispersion — the gap between the era’s winners and its expensive losers — is exactly the environment stock-picking claims to monetize. The case against is the base rate: concentrated tech funds as a class have underperformed their index tier after fees across most long windows, and the young fund’s record cannot yet argue otherwise. This site’s framing: IART is a legitimate vehicle for investors who specifically want researched concentration and accept the fee as the price of the attempt — and the index tier remains the default for everyone who merely wants the theme.
Taxes and buying
Irish accumulating UCITS standard (guide, calculator); young wrapper on the flagship platform — liquidity building on active-ETF flows; limit orders standard.
Risks
- Concentration: 20–40 names — single-position stumbles move the fund; that’s the product.
- Manager dependence: the thesis is the team; departures would gut it.
- Fee drag: 0.73% compounds against the index tier every flat year.
- Young record: 2025 vintage — no cycle history; the audition is live.
- The theme’s own weather: AI capex digestion or narrative cooling hits every tier of the shelf, concentration first.
Reader scenarios
“IART or ARKI — the direct decision?” Temperament: IART’s earnings-driven concentration versus ARK’s disruption-timeline bets. Investors who read balance sheets pick IART; investors who read technology roadmaps pick ARK; both cap the position under moonshot-adjacent rules and neither belongs beside the other.
“I hold XAIX — is IART an upgrade?” A different bet, not an upgrade — the index owns the chain; IART bets a research team can out-weight it. Switch only if the concentration thesis genuinely convinces you; the fee gap needs it to.
“How should an active AI fund be graded?” Against XAIX-class breadth, net of fees, across a full cycle — not against cash, not across quarters. Write the benchmark down at purchase; active funds are graded honestly only by holders who pre-committed the yardstick.
“Is 20–40 names diversified enough?” It’s diversified as an AI sleeve, concentrated as a portfolio — which is why the position sizes at 3–7% inside the tech budget, never as the equity core.
What to watch through 2026–2027
The record versus XAIX — the only scoreboard that matters. Manager continuity — the thesis’s single point of failure. Concentration and turnover disclosures — whether the process stays what was bought. The AI earnings conversion — the whole shelf’s referendum.
And the category note that outlasts this fund’s audition: the active-ETF wave means every research franchise in the industry is about to have a transparent, cheap, gradeable public record — the closet indexers will be exposed by their own disclosures, the genuine concentrators by their drawdown shapes. For investors, that transparency is the wave’s real gift: within five years the conviction tier will be sortable by evidence rather than marketing, and reviews like this one will grade records instead of philosophies. Until then, the pre-committed benchmark remains the only honest instrument.
The audition is live, the yardstick is written, and the shelf finally offers every temperament its honest instrument — which is all a review can arrange; the cycle does the rest.
Conviction, priced honestly and graded honestly — the whole active proposition.
Quick-start checklist
- Write the tier decision: breadth, infrastructure, or conviction — one vehicle.
- Choosing conviction: IART (earnings) or ARKI (disruption) — temperament fork.
- Pre-commit the benchmark: XAIX net of fees, full cycle.
- Size 3–7% inside the summed tech budget; automate.
- Annual grade against the written yardstick; manager-news alerts on.
Verdict
IART is the institutional version of conviction-AI: a first-tier research franchise running a genuinely concentrated book at a fee that at least buys real activeness rather than closet indexing. It completes the European AI shelf’s spectrum and gives the ARK temperament a disciplined rival — but the base rates it must overcome are the ones concentrated tech funds have historically lost to, and its audition against the index tier has only begun. Hold it as the deliberate concentration bet it is, graded against the written benchmark — or take the shelf’s standing advice and let XAIX-class breadth own the theme at half the toll. Both are defensible; only one requires faith.
The active-ETF wave: why this fund exists now
IART’s context is an industry shift worth understanding: active ETFs — long an American phenomenon — arrived in Europe in force, with the giants converting their fundamental-research franchises into transparent, tradable wrappers at fees far beneath mutual-fund tradition. The strategic logic runs both directions. For issuers: the mutual-fund fee model is dying, and the ETF wrapper is where flows migrated — packaging star research teams into ETFs defends the franchise. For investors: the wrapper strips distribution costs from active management, prices it honestly (0.73% here versus the 1.5-2% the same research cost in fund-of-old form), and adds daily transparency that keeps managers honest about their activeness. What the wave doesn’t change: the underlying arithmetic of concentrated stock-picking versus index breadth — the wrapper cheapened the attempt without improving its odds. IART is among the wave’s most credible entries precisely because its concentration is real; most active ETFs launching alongside it are closet indexes at active fees, and the shelf’s next decade will sort them by exactly that test.
Reader scenarios, continued
“How concentrated is ‘concentrated’ in practice?” A 20-40 name book means top positions at meaningful single-digit weights — real enough that one thesis failing costs visible performance, which is precisely what genuine active management looks like. Check the live top-ten monthly; the transparency is the wrapper’s gift.
“Should the young record’s early numbers influence me at all?” Short windows grade luck, not process — the honest evaluation window for concentrated active funds is a full cycle, and the pre-committed benchmark (XAIX net of fees) is the only defensible yardstick. Everything shorter is noise wearing a percentage sign.
The conviction tier’s honest scoreboard, pre-committed
Because active funds are graded by their holders’ discipline as much as their managers’, the evaluation framework deserves writing before the record exists. The benchmark: XAIX-class index breadth, net of both fees, measured across a full cycle — bull and correction included. The intermediate tells worth reading annually: active share (does the book still diverge meaningfully from the index it charges against?), thesis turnover (are positions changing on results or on narrative weather?), and drawdown behavior (concentrated conviction should fall differently than the index — if it tracks the benchmark down, the concentration is cosmetic). The exit triggers, also pre-committed: manager departure (the thesis is the team), style drift toward closet indexing (the fee’s justification dies), or the written benchmark lost across the full window. Holders who set this scaffolding at purchase own an active fund; holders who skip it own a subscription to hindsight — the distinction that decides most active-fund outcomes before the managers pick a single stock.
Frequently asked questions
Who are Tony Kim and Reid Menge?
Leads of BlackRock’s Fundamental Equities technology group — the house’s flagship active-tech franchise; IART packages their concentrated best-ideas process into a UCITS ETF wrapper.
How is an active ETF different from an active mutual fund?
Intraday tradability, typically lower fees and full holdings transparency — the ETF wrapper applied to active management; the process inside is the same craft.
Does IART disclose its holdings daily?
European active ETFs publish holdings transparently — check the fund page; the concentration means the top ten tells most of the story at any moment.
Why is IART cheaper than ARKI?
Marginally (0.73 vs 0.75) — effectively the same active-tier price; the choice between them is philosophy, not cost.
Can IART hold private AI companies?
No — UCITS listed-equity rules apply; the pre-IPO tier reaches the fund only at listing, same as every wrapper on the shelf.
What happens if the managers leave BlackRock?
The fund would continue under new management — but the purchase thesis is the team; holders should treat manager departure as the position’s review trigger, written into the plan at purchase.
What is a ‘best ideas’ portfolio in practice?
The managers’ highest-conviction names weighted by researched confidence rather than index rules — concentration as the honest expression of active views, with single-thesis risk as the standing price.
Does IART overlap with a Nasdaq-100 holding?
Substantially at the mega-cap end where AI leaders concentrate — the audit applies as everywhere on the tech stack; IART’s differentiation lives in its mid-cap convictions and weightings, not its universe.
Cited sources: iShares fund data, justETF data, and ETF Express launch coverage. Verify current fund figures before investing. Educational content, not financial advice.
European UCITS/ETF investor with 11+ years building a global dividend and index portfolio, and founder of Financial Expert Class. I write every guide here from first-hand experience investing across EU brokers and tax regimes — not theory. More about me →