Mirae Asset's TIGER US Philadelphia AI Semiconductor Nasdaq ETF Surpasses 300 Billion KRW in Net Assets

Mirae Asset Global Investments announced on the 31st that the net assets of the ‘TIGER US Philadelphia AI Semiconductor Nasdaq ETF’ have surpassed 300 billion KRW.

According to the Korea Exchange, as of the 24th, the net assets of the TIGER US Philadelphia AI Semiconductor Nasdaq ETF recorded 354.9 billion KRW. Since its listing on November 26 last year, individual cumulative net purchases have exceeded 180 billion KRW in about two months.

The underlying index of the TIGER US Philadelphia AI Semiconductor Nasdaq ETF is the US AI Philadelphia Semiconductor Index (ASOX). This is a newly launched semiconductor index by the Nasdaq Stock Exchange after about 30 years since the Philadelphia Semiconductor Index was introduced in 1993. It is characterized by focusing investment exclusively on semiconductor companies with high competitiveness in the artificial intelligence (AI) era.

It allows concentrated investment in Broadcom and Nvidia, which have recently gained attention in the AI semiconductor field. As of the 24th, the investment proportions of Broadcom and Nvidia in the TIGER US Philadelphia AI Semiconductor Nasdaq ETF are 19.0% and 18.2%, respectively, accounting for about 40% in total. Broadcom’s stock price rose as major big tech companies such as Google’s TPU and Tesla’s autonomous driving chips expanded the adoption of their own AI semiconductors (ASICs). Nvidia declared its evolution from an AI semiconductor company to a comprehensive AI platform company by unveiling AI models and inference chips for robotics and autonomous driving at CES 2025, and it is expected to further strengthen its position as the industry leader in the future.

Kim Byung-seok, manager of the ETF management division at Mirae Asset Global Investments, said, "Although doubts have been raised about the demand for AI semiconductors due to DeepSeek’s low investment costs and affordable service offerings, we believe these concerns are exaggerated." He added, "The methodology used in this model does not significantly deviate from the direction of the latest AI research, and the spread of such lightweight AI models will accelerate the growth rate of the cloud."

This content was produced with the assistance of AI translation services.