Samsung Asset Management Launches 'KODEX US AI Memory TOP2 Plus' ETF

Micron and SanDisk Account for 50% of Portfolio
Focused Investment in US Versions of ‘Samsung and SK Hynix’

On September 15, Samsung Asset Management announced that it will be listing a new exchange-traded fund (ETF) called 'KODEX US AI Memory TOP2 Plus', which invests in data storage companies that are experiencing structural growth amid the expansion of the artificial intelligence (AI) industry.

The KODEX US AI Memory TOP2 Plus ETF allocates approximately 50% of its investments to Micron and SanDisk, and about 30% to a focused portfolio of Seagate and Western Digital. These companies, leading manufacturers of SSDs (Solid State Drives) and HDDs (Hard Disk Drives) in the United States, are global leaders in the AI memory and storage market.

In addition, the ETF includes controller & IP companies, storage platform companies, and data storage server manufacturers, which also benefit structurally from the growing demand for data storage.

As the era of AI agents emerges, attention is shifting from conventional GPUs (Graphics Processing Units) and ASICs (Application-Specific Integrated Circuits) to data memory, which is the end result of AI computation. While computational semiconductors and network-related resources can be reused, data generated by AI is accumulated and stored, resulting in a steady increase in demand for related facilities.

The vast majority of this AI-generated data is stored on SSDs composed of NAND memory and HDDs made with magnetic disks. SSDs handle 'speed,' quickly storing and retrieving data that needs to be accessed frequently during AI computation. HDDs, as high-capacity storage devices, are responsible for 'capacity' by stably storing the increasing volume and variety of data, forming the backbone of AI operations in combination with SSDs.

Handonghun, a manager at Samsung Asset Management, explained, "KODEX US AI Memory TOP2 Plus is an ETF that focuses on key AI memory and storage companies with consistently growing demand, while also allowing for investment in the broader value chain."

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