South Korean tech giants and the government are launching multiple AI data center projects across Gangwon Province to expand the nation's artificial intelligence infrastructure [1].
This surge in development represents a strategic push to localize AI computing power. The high level of interest from both domestic and foreign firms has become so significant that the government is now reconsidering how it allocates and sells the available sites [1, 2].
Several key locations have been identified for these projects. These include a site on the outskirts of Chuncheon in the Gangwon-Yeongseo region, Donghae City, Gangneung, and a location near the Soyang Dam on the upstream North Han River [1, 2].
Samsung SDS is developing a data center using a modular construction method, where prefabricated facilities are transported to the site and assembled [1]. The company aims to complete this facility in the second half of 2026 [1].
Other major conglomerates are also moving into the region. GS Group has pledged an investment of 120 trillion won [1] for its project in Donghae City. Additionally, SK, including SK Telecom and SK Holdings, has secured sites to bolster the regional AI ecosystem [1, 2].
An anchor for YTN said data centers are the most critical facilities in the movement by the government and corporations to expand AI infrastructure [1].
As the competition for land intensifies, the shift in the government's allocation model is intended to manage the influx of investors. The province is positioning itself as a primary battleground for AI infrastructure, leveraging its geographic and resource advantages to attract the largest players in the technology sector [1, 2].
“GS Group has pledged an investment of 120 trillion won.”
The concentration of AI infrastructure in Gangwon Province signals a shift toward decentralized tech hubs in South Korea, moving away from the traditional Seoul-centric model. By attracting massive investments from GS, Samsung, and SK, the government is attempting to create a scalable foundation for AI sovereignty, ensuring that the physical layer of the AI economy—energy and cooling-efficient data centers—is secured domestically.
