Mirae Asset Global Investments announced on November 25 that individual investors' cumulative net purchases of the "TIGER US AI Power SMR ETF" have surpassed 100 billion won.


According to the Korea Exchange, as of November 24, the cumulative net purchases by individual investors in the TIGER US AI Power SMR ETF, which was listed on November 4, amounted to 113.9 billion won. On the listing day, individual net purchases reached 38.3 billion won. As investment flows in artificial intelligence (AI) have expanded from AI semiconductors to data centers and power infrastructure, steady inflows of capital have pushed the ETF's cumulative net purchases by individuals past 100 billion won in just about three weeks since its listing.


The TIGER US AI Power SMR ETF is designed to capitalize on the structurally increasing electricity demand driven by the proliferation of AI data centers, focusing investments on 10 key power infrastructure companies listed in the United States. The ETF primarily invests in leading small modular reactor (SMR) companies such as Oklo and NuScale Power, as well as in gas turbine company GE Vernova and fuel cell company Bloom Energy, which are capable of directly supplying power to data centers, thereby covering the entire AI power value chain.


The TIGER US AI Power SMR ETF is expected to benefit from the growth of leading companies in SMR-based power supply models. Oklo, the ETF's largest holding, is advancing its first commercial SMR project, "Aurora." Recently, Oklo signed a supply contract for power generation and conversion systems with Siemens Energy, further clarifying its commercialization roadmap. In addition, Oklo's SMR design, based on spent nuclear fuel recycling, has been confirmed to meet government safety standards through the signing of a Nuclear Safety Design Agreement (NSDA) with the US Department of Energy (DOE). The company plans to build related facilities at the Idaho National Laboratory (INL), which is owned by the DOE.


Recently, Nvidia announced earnings that exceeded market expectations, partially alleviating concerns about the sustainability of growth in the AI ecosystem, although market volatility remains high. As demand and earnings for AI semiconductors remain robust, the expansion of data centers to support increasingly sophisticated AI models, and the resulting surge in electricity demand, are expected to continue over the medium to long term. This suggests that the strength of the semiconductor cycle could lead to increased investment demand in power infrastructure, the next stage of AI infrastructure.


Kim Namho, Head of Global ETF Management at Mirae Asset Global Investments, stated, "Through the TIGER US AI Power SMR ETF, investors can efficiently gain exposure to leading SMR companies and key AI power infrastructure firms," adding, "As the increase in data center expansion and electricity demand structurally follows the confirmation of AI semiconductor demand, investment opportunities in the AI-era power value chain are becoming even more pronounced."



TIGER US AI Power SMR ETF Sees 100 Billion Won in Individual Net Purchases in Just Three Weeks View original image


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