SK Hyper seeks funding for South Korea AI data center expansion

SK Hyper seeks funding for South Korea AI data center expansion
SK eyes $350B AI boost

South Korea's push to expand artificial intelligence infrastructure is drawing increasingly large capital requirements as developers race to add computing capacity. SK Hyper Co. is now discussing funding options for a planned data center rollout that its chief executive says could require $350 billion for the first phase alone.

Highlights

  • SK Hyper Co. is negotiating with tech firms and financial investors to fund 15 gigawatts of South Korean data center capacity by 2035.
  • The first 5-gigawatt phase of SK Hyper's expansion plan is projected to require $350 billion in capital, including equipment costs.
  • The scale of SK Hyper's project highlights rising AI infrastructure demand but raises concerns about future capacity outpacing market needs.

Funding talks for 15-gigawatt plan

As reported by Bloomberg, SK Hyper Co. is in talks with big tech companies and financial investors to help fund an envisioned buildout of 15 gigawatts of data center capacity in South Korea by 2035.

Chung Suk-geun, the chief executive officer of the SK Group data center unit, says the company has begun discussions with potential partners on the financing structure for the project. He tells Bloomberg Television that the first 5-gigawatt phase alone would require $350 billion, including equipment.

AI infrastructure race raises scale and demand questions

The plan places SK Hyper among companies pursuing large-scale AI infrastructure as demand for computing power continues to rise. The proposal also underscores the vast capital intensity of new data center development, particularly when equipment costs are included.

At the same time, the expansion drive comes amid wider concerns about whether future demand will fully match the pace of capacity being planned globally. For South Korea, the project would represent a major long-term bet on domestic AI and data center capacity through 2035.

We previously reported on how the U.S. AI data center buildout is increasingly running into higher financing costs, construction delays, and power constraints. Our earlier article noted that only a fraction of planned projects are viewed as credible, as expensive capital, cost overruns, and local grid and community pressures test developers’ ability to deliver capacity on time and maintain investor confidence.

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