The new era of AI is here. Is your investment portfolio ready?

In 2026, the global AI investment boom continues. According to statistics, $Microsoft (MSFT.US)$ 、 $Alphabet-C (GOOG.US)$ Parent company Alphabet, $Amazon (AMZN.US)$ 、 $Meta Platforms (META.US)$ These four tech giants plan to invest a total of over $650 billion in the AI sector in 2026, setting a historic capital expenditure record. [1] However, unlike the simplistic 'arms race for computing power' of the past two years, the logic behind AI investments in 2026 is undergoing a profound shift—moving from hardware construction toward comprehensive application implementation.

For Hong Kong investors, how can they efficiently capture the growth opportunities of leading U.S.-listed tech companies amid this technological revolution? $Samsung NYSE FANG+ ETF (02814.HK)$ ETFs provide a simple yet comprehensive solution.

What is Samsung NYSE FANG+ ETF (2814 HK)? — The first FANG+ ETF in Hong Kong

$Samsung NYSE FANG+ ETF (02814.HK)$ Tracks NYSE FANG+™ Index, which adopts an equal-weighted approach, selecting 10 highly growth-oriented tech giants listed in the U.S. that have a significant impact on the world.

Latest holdings: Full coverage of the AI ecosystem

On March 23, 2026, the FANG+ Index underwent its quarterly adjustment, adding the global memory leader $Micron Technology (MU.US)$ . Micron’s high-bandwidth memory (HBM) is a core memory supplier for NVIDIA's next-generation AI chip platform. This adjustment marks the FANG+ Index’s expansion in the AI sector from computing power and software to the crucial hardware component of memory, completing the final piece of the AI ecosystem puzzle.

As of April 13, 2026, the top 10 holdings and their weightings of 2814 HK are as follows:

From GPU computing power ( $NVIDIA (NVDA.US)$ ), network chips ( $Broadcom (AVGO.US)$ ), cloud platforms (Microsoft, Google, Amazon), to AI end-user applications (META, $Apple (AAPL.US)$ 、 $Netflix (NFLX.US)$ ), execution platforms ( $Palantir (PLTR.US)$ ), to the memory, a decisive hardware component (Micron), the index has formed a complete AI ecosystem layout.

Market Trend: AI Enters a New Phase of 'Application Implementation'

Trend 1: The Logic of AI Investment is Shifting

By 2026, global AI investment will exhibit significant structural characteristics—with capital highly concentrated in hardware sectors such as power, chips, and data centers. The annual capital expenditure of the four major tech giants is expected to exceed $650 billion. Meanwhile, the industry is transitioning from the 'training era' to the 'inference era.' NVIDIA CEO Jensen Huang pointed out at GTC 2026 that the tipping point for inference has arrived—while training is a one-time capital expense, inference represents ongoing operational expenditure with demand growing linearly with user adoption.

Trend 2: The Focus of Competition Shifts from Technical Parameters to Closed-loop Scenarios

During the Lunar New Year of 2026, $TENCENT (00700.HK)$ 、 $BABA-W (09988.HK)$ Platforms like ByteDance launched an AI 'red packet battle' burning over 8 billion yuan, completing a stress test for AI implementation in Q&M Dental life scenarios. This marks a shift in the focus of AI industry competition from pure computing power contests to commercial application deployment.

Trend 3: Tech Giants Maintain Strong Profitability

From a fundamental analysis perspective, the strong profitability of tech giants lays a solid foundation for continuous AI investment. Despite high capital expenditures, companies like Microsoft, Google, Amazon, and Meta maintain robust cash flow and steady growth in cloud orders, alleviating market concerns about an AI bubble burst.

Why Choose Samsung NYSE FANG+ ETF (2814.HK)? Why not buy US stocks directly?

More convenient trading hours: The US stock trading session corresponds to nighttime in Hong Kong, requiring overnight monitoring;2814.HK Trades on the Hong Kong stock market during the day, aligning with the local lifestyle.

No need for currency exchange: Buying US stocks directly requires converting Hong Kong dollars to US dollars, involving exchange rate risks and conversion costs;2814.HK Trades directly in Hong Kong dollars.

Lower barrier: Investing in US stocks requires opening a separate US brokerage account and understanding US tax rules;2814.HKYou can buy and sell using a Hong Kong stock account.

One-click allocation of the top ten leading stocks: Buying US stocks directly requires individual research and purchasing shares in 10 companies separately, which is operationally cumbersome;2814.HKA single trade allows you to hold all constituent stocks simultaneously.

Automatic rebalancing: Manually adjusting stock weights is time-consuming; the index automatically rebalances quarterly to ensure each constituent's weight returns to approximately 10%.

More diversified risk: Holding a single US stock concentrates risk;2814.HKEqual-weight allocation of the ten major tech giants effectively diversifies individual stock volatility risks.

By 2026, AI is transitioning from the "computing power era" of infrastructure construction to the "application era" of full implementation. The FANG+ Index continuously optimizes its constituent structure through quarterly adjustments, striving to keep pace with technological changes—from computing power to memory, from cloud to application—the index’s AI ecosystem layout is becoming increasingly complete.

For Hong Kong investors, Samsung NYSE FANG+ ETF (2814.HK) Provides a lower-threshold, convenient trading, and intraday trading tool for leading US technology stocks.

Source: [1] China Economic News Network (2026/3/24)

Important Information

• Investment involves risks. Past performance is not indicative of future results. The price of funds can go up as well as down, and investors may suffer all or significant losses on their investments. Investors should not make any investment decisions based solely on this material.

• Samsung NYSE FANG+ ETF is a sub-fund of Samsung ETF Trust, with an investment objective to provide investment performance that closely tracks the NYSE® FANG+™ Index ("Underlying Index") before fees and expenses.

• The main risk factors that Samsung NYSE FANG+ ETF may face include investment risks, stock market risks, concentration risks in the US technology sector, technology theme risks, discretionary consumer goods industry risks, media and communications industry risks, equally weighted index risks, risks associated with depository receipts, multi-counter risks, currency risks, other currency distribution risks, risks of distributions from capital or effectively from capital, passive investment risks, trading risks, risks of different trading hours, reliance on market maker risks, tracking error risks, termination risks, etc. Please note that the above-mentioned investment risks are not exhaustive. Investors should read the product prospectus, product key facts statement, and related sales documents in detail before making any investment decision to understand details such as product features, risk factors, and distribution policies.

• The above fund has been authorized by the Securities and Futures Commission of Hong Kong (SFC). Authorization does not imply official endorsement of the product. This material is for reference only and does not constitute an offer or solicitation to any person to buy, sell, or adopt any investment strategy.

• The Manager may, at its discretion, make cash distributions to unit holders from capital or total income (while charging all or part of the Fund's fees and expenses to the capital or paying them from the capital), thereby increasing distributable income for payment of distributions, which actually amounts to a distribution from capital.

• Distributions paid or effectively paid out of capital amount to a return of part of an investor's original investment or withdrawal of part of the original investment or capital gains attributable to that original investment. Any practice involving distributions being paid out of the capital of the product or effectively paid out of the capital of the product may result in an immediate reduction in the per-unit net asset value.

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