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KODEX US AI Power Core Infrastructure (487230) 🔎 In-depth

Samsung Asset Management · Equity · United States · Sector · Industry · Price 2026.07.13 · Updated 2026-07-14

A US equity ETF managed by Samsung Asset Management (KODEX) that holds US-listed companies expected to benefit from the surge in electricity demand in the AI era. Because the data centers that run AI consume enormous amounts of electricity, the companies that build power-generation equipment, transmission and distribution gear, and data-center power infrastructure draw attention together; this ETF is a growth-and-theme product that invests in that 'power infrastructure value chain' in one go. It listed on July 9, 2024.

Price as of 2026.07.13 close

Close₩23,690
Change-3.13%
NAV₩24,270
Premium / discount-2.39%
Market cap$1.2B
AUM (net assets)$1.2B
Volume1,041,744 shares
Turnover$16.6M
Benchmark indexiSelect US AI Core Power Infrastructure Index (Price Return)
Benchmark close10,063.70

Understanding this ETF

🎯What it tracks

The benchmark index is the 'iSelect US AI Power Core Infrastructure Index (PR),' calculated by an NH Investment & Securities affiliate. 'PR (Price Return)' refers to a method that reflects only the share price, excluding dividends. The index is made up of US companies tied to the electricity demand that will grow as AI spreads, that is, power value-chain companies running from 'generation to transmission and distribution to data-center and energy-infrastructure construction to power efficiency.' Each holding's weight is set by blending market-cap weighting and theme-relevance weighting at roughly 7 to 3, and this ETF tracks the index by 'physical replication,' actually buying and holding those names. It is FX-exposed, without FX hedging.

🌊How it moves

Because it is FX-exposed without FX hedging, on top of the ups and downs of the US stocks it holds, won/dollar exchange-rate movements are also reflected in the return. When the dollar strengthens (won weakens), the won-converted value rises, and when the won strengthens, it is trimmed accordingly. Also, because it is concentrated in a small number of names around the clear theme of 'power infrastructure,' the whole ETF moves substantially with AI data-center investment and power-demand outlooks and with the share prices of top holdings such as GE Vernova and Vertiv. Because the benchmark is a PR method that reflects only the share price and excludes dividends, the dividends paid by the holdings are not included in the index return.

🧭Profile & traits

This is a 'growth-and-theme' ETF that aims to ride the broad trend of rising electricity demand as AI spreads. The logic that more data centers require more electricity and power equipment underpins the growth story, and its differentiator is that it invests not in AI chips but in the 'power and infrastructure that support them from behind.' However, because it is concentrated in a few names and a specific theme, it can rise strongly when the theme has momentum, but can also swing sharply when AI-investment expectations cool or the related names correct. Add the variable of exchange-rate movement, and it tends to have more sources of fluctuation than a broad market-representative index product.

📈Recent trend

As of July 13, 2026, the closing price was ₩23,690 and the NAV was ₩24,270, so the close was somewhat below NAV. The daily change that day was -3.13%. AUM was about ₩1.81 trillion and market capitalization was about ₩1.77 trillion, a fairly large size for a theme ETF.

💡In plain terms

In a nutshell, it is a theme ETF that 'gathers US power-infrastructure companies that generate and carry the electricity AI data centers will use.' Its distinguishing feature is that it invests not in AI chips but in the power equipment needed to run them; and just keep in mind that it is concentrated in a few names, so it swings a lot, and the exchange rate also affects the return.

Holdings & weights

It is a concentrated portfolio of about a dozen or so US companies. Names known to be top holdings include GE Vernova, which makes power-generation equipment and power gear, and Vertiv, which supplies data-center cooling and power-management equipment; besides these, US-listed companies related to transmission and distribution gear, power equipment, and power-infrastructure construction are held. With few names and a clear theme, it is a concentrated structure in which the price moves of a small number of names are strongly reflected across the whole ETF. (The individual holdings table is filled in from separate official materials.)

Detailed holdings and weights are filled in over time from reliable disclosures (KRX / the asset manager). The classification and benchmark above already give a good sense of what this ETF holds.

Classification

Asset typeEquity
RegionUnited States
CategorySector · Industry
Use caseGrowth · Thematic
ManagementPassive
LeverageStandard
ReplicationPhysical
FX hedgeFX-exposed
IssuerSamsung Asset Management
Listed2024/07/09
EnergyPower equipment · InfrastructureAI infrastructure · PowerFX-exposed

Notes & cautions

ETF terms explained
NAV (net asset value)The real per-share value of the assets the ETF holds. The market price generally trades near this figure.
Premium / discountHow much the market price trades above (+) or below (−) NAV. The closer to 0%, the more fairly it is priced.
Tracking errorHow far the ETF's return drifts from its benchmark index. Smaller is better — it means the ETF follows the index closely.
AUM (net assets)The total pool of assets in the ETF. Larger AUM generally means smoother trading and a lower delisting risk.
Benchmark indexThe index the ETF aims to follow. The ETF's price reflects this index's moves.
Leverage / inverseLeverage products move at a multiple (e.g. 2x) of the index's daily move; inverse products move opposite to the index — the index falls, they gain. Both are volatile and mainly for short holding periods.
FX hedge / FX exposureFor overseas-asset ETFs, hedging the currency fixes returns against exchange-rate swings ((H) in the name); leaving it unhedged is FX exposure.

Korea FSC securities market-price API (data.go.kr) · ETF classification & tagging: our own descriptive categorization

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