SK hynix Weighs ChatGPT for Work as OpenAI Builds Out Its Korean Enterprise Push
OpenAI is rapidly scaling its footprint within South Korea’s enterprise sector, anchored by a new distribution network that integrates its tools directly into the IT-services arms of the nation’s largest conglomerates. According to industry reports, Samsung Electronics and SK hynix are leading this adoption, utilizing a “two-track” strategy that combines proprietary in-house AI models with external platforms like ChatGPT Enterprise, Gemini, and Claude to maintain security while boosting worker productivity.
Why Korean Conglomerates Are Adopting Multi-Model AI
Major Korean firms are moving away from single-vendor reliance, opting instead for a diverse “two-track” deployment. Samsung Electronics officially began rolling out external generative AI to its Device eXperience division this week, allowing employees to leverage ChatGPT, Gemini, and Claude alongside its internal model, Samsung Gauss. This strategy allows the firm to route sensitive, proprietary data through secure internal systems while using external frontier models for general tasks, according to industry sources.
The Role of IT-Services in AI Distribution
The widespread adoption of OpenAI in Korea is less about a single product win and more about a newly established “channel layer.” Samsung SDS, LG CNS, and SK AX—the IT-services arms of Korea’s top three conglomerates—now serve as official resellers and implementation partners for OpenAI. By integrating these services into the existing corporate IT infrastructure, these companies have standardized how employees access external AI, according to analysts familiar with the agreements.
How SK hynix Is Approaching Security and Adoption
SK hynix is taking a more cautious stance compared to its industry peers. CEO Kwak Noh-jung stated on June 11 at the New Icheon Forum that the company is currently reviewing the security and system architecture of Microsoft 365, Copilot, and ChatGPT Enterprise. The company intends to introduce external AI tools gradually, specifically in departments that do not handle national core technologies. Currently, SK hynix employees rely on an in-house service built on open-source models, which some staff have reported as being less capable than modern commercial alternatives.
The Competitive Landscape Beyond OpenAI
While OpenAI has gained significant early momentum, the market remains highly contested. LG CNS, for instance, has maintained a multi-vendor approach, partnering with both OpenAI and Anthropic, while continuing to develop its proprietary model, ExaONE. Similarly, Google is pushing Gemini Enterprise through its Workspace ecosystem, and Microsoft is positioning its Copilot suite as an integrated productivity solution. The ultimate success of these tools will be determined by daily work utility, security compliance, and organizational integration speed, rather than performance in a single preference survey.
Did you know?
While some reports suggest ChatGPT emerged as the “favorite” during Samsung’s internal testing, the company’s official rollout treats the various AI models as equal components of a task-specific toolkit rather than selecting a single winner.
Frequently Asked Questions
Is SK hynix currently using ChatGPT Enterprise?
Not yet. CEO Kwak Noh-jung confirmed on June 11 that the firm is in the review phase, focusing on security and system architecture before any potential deployment.
What is the “two-track” AI approach?
It is a strategy used by large corporations like Samsung to separate sensitive work—processed through secure, in-house models like Samsung Gauss—from general tasks, which are handled by external tools like ChatGPT, Gemini, or Claude.
How does OpenAI distribute its products in Korea?
OpenAI has partnered with the IT-services arms of major conglomerates—Samsung SDS, LG CNS, and SK AX—who act as resellers and implementation partners for enterprise-grade AI tools.
Are these AI tools training on company data?
Enterprise versions of these models, such as ChatGPT Enterprise, typically include contractual guarantees that the vendor will not train their models on customer data, unlike the free, consumer-facing versions.
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