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Shinsegae signs AI data center deal with US AI firm Reflection
South Korea’s Shinsegae Group announced on April 17 that it signed an MOU last month in San Francisco with US AI company Reflection AI.
The agreement covers the construction and operation of an AI data center and the application of AI across its distribution operations, centered on E-Mart, while halting collaboration discussions with OpenAI.
The work will cover six areas at E-Mart, including sourcing, ordering, pricing, logistics, inventory management, and customer management, according to the group.
Shinsegae said E-Mart staff will meet Reflection AI in Korea later this month to discuss implementation and hold workshops with the company’s chief executive, Misha Laskin, and other executives.
🔗 Source: Chosun Daily
🧠 Food for thought
Implications, context, and why it matters.
Shinsegae’s AI deal is a national-scale infrastructure project
- The partnership will build a 250-megawatt (MW) AI data center. Shinsegae called it South Korea’s largest, with investment expected to reach at least 10 trillion won (US$6.8 billion) 1.
- The plan includes a “full-stack AI factory,” a business that supplies computing infrastructure plus the software and tools used to build and run AI services. Shinsegae aims to offer AI cloud services to Korean companies and government agencies, and it cited Amazon as an example that spans cloud services and end-user solutions 1.
- Shinsegae described the venture as the first technology cooperation under the U.S. government’s “AI Export Program.” U.S. Secretary of Commerce Howard Lutnick attended and pledged support 2.
Shinsegae’s choice tracks a corporate shift from renting AI to owning it
- The partnership with Reflection AI links to rising demand for “data sovereignty.” Data sovereignty is control over where sensitive business data is stored and processed in the AI era 2.
- Reflection AI develops “open-weight” models. Users can download model parameters, run the models in their own data centers, and adapt them for their own needs 3.
- Running models in-house can reduce data-leakage risk because AI use does not have to pass through an outside provider’s servers. Shinsegae has said it wants strong data security capabilities 3.
- The move suggests large corporations with valuable data are leaning toward owning AI systems instead of relying on third-party application programming interfaces (APIs). This trend is sharper in regulated fields such as finance and healthcare 3.
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