For years, the corporate world has existed in a state of AI tension. On one side, employees are eager to leverage the productivity gains of large language models to automate drudgery and accelerate research. On the other, Chief Information Security Officers are terrified of the corporate crown jewels leaking into a public training set. This friction creates a shadow AI economy where workers use personal accounts in secret, risking security for the sake of efficiency. Samsung Electronics, a company that defines the hardware boundaries of the modern era, has decided to break this deadlock by institutionalizing AI at a scale rarely seen in the enterprise sector.
The Architecture of Knowledge and Execution
Samsung has officially integrated OpenAI's ChatGPT Enterprise and Codex across its entire workforce in Korea and its global Device eXperience (DX) division, which encompasses its mobile and consumer electronics businesses. This deployment is not a mere pilot program or a limited trial for a few specialized teams. It is one of the largest enterprise rollouts in OpenAI's history, designed to fundamentally alter how the company handles everything from product design and manufacturing processes to marketing and internal administration.
To manage this transition, Samsung has bifurcated its AI strategy into two distinct functional streams: knowledge-based work and technical execution. The first stream is powered by ChatGPT Enterprise. Unlike the consumer version, this platform is built with rigorous data protection, granular user access management, and strict security controls. It allows employees to perform high-level knowledge tasks—such as analyzing complex datasets, drafting strategic documents, and interpreting internal reports—within a governance framework that ensures corporate data never leaves the company's controlled environment.
The second stream is powered by Codex, the AI model specialized in translating natural language into functional code. While ChatGPT Enterprise handles the conceptual and analytical phase, Codex is the engine of implementation. It is used for writing code, performing deep-dive reviews, and debugging software. Crucially, Samsung is deploying Codex not just for professional software engineers, but for non-technical staff. This allows a marketing manager or a manufacturing lead to describe a needed automation workflow or an internal tool in plain English and have Codex generate the actual software to realize it. By separating the planning phase in ChatGPT from the execution phase in Codex, Samsung is effectively shortening the distance between a conceptual idea and a working prototype.
From Silicon Supplier to AI Power User
This shift represents a profound strategic pivot in Samsung's relationship with the AI ecosystem. For the past several years, Samsung's primary role in the AI revolution has been that of the indispensable landlord. By supplying the high-performance memory chips and HBM (High Bandwidth Memory) necessary to train and run massive models, Samsung provided the physical infrastructure that made the current AI boom possible. However, providing the hardware is a passive form of participation. By deploying ChatGPT Enterprise and Codex globally, Samsung is moving from the role of a supplier to that of a power user, focusing on the software-driven transformation of its own human capital.
The internal data suggests this transition is gaining massive momentum. The adoption metrics for Codex, in particular, reveal a surge in demand for AI-driven automation. Globally, more than 5 million users are now utilizing Codex to streamline both technical and non-technical workflows. Within Samsung's Korean operations, the growth has been even more aggressive. Following February 1, 2026, the Weekly Active Users (WAU) for Codex grew by approximately 800%. This spike indicates that the barrier to entry for software creation has collapsed; employees who previously lacked coding skills are now building their own internal efficiency tools, effectively rewriting the company's operational operating system from the bottom up.
This move toward vertical integration—controlling both the hardware that powers AI and the software workflows that utilize it—positions Samsung to optimize its entire value chain. When a global manufacturing giant treats AI not as a peripheral tool but as a core infrastructure, the goal is no longer just incremental productivity. The goal is a systemic upgrade of the workforce's capability, where the ability to prompt and implement AI becomes as fundamental as the ability to use a spreadsheet or an email client.
This trend is mirroring a broader systemic shift across the South Korean technological landscape. The integration of AI is moving away from standalone apps and toward embedded experiences. Kakao, for instance, has collaborated to bring ChatGPT directly into KakaoTalk group chats, removing the friction of switching apps to find information and making AI a natural part of the conversational flow. In academia, Seoul National University has provided ChatGPT Edu to 47,000 students, faculty, and staff, attempting to create an AI-native campus where the model serves as a baseline research and learning infrastructure.
Across the private sector, the adoption of ChatGPT Enterprise has become a benchmark for corporate maturity. Major entities including LG Electronics, LG Uplus, LG CNS, GS Engineering & Construction, and Samsung SDS have integrated the platform. Similarly, platform-driven companies like Tving, Krafton, Toss, and Musinsa have followed suit. Other firms, such as Korea Zinc, Nexen Tire, Hana Tour, Day1 Company, and Worksphere, are utilizing a combination of the OpenAI API and Codex to build bespoke internal systems and automate repetitive tasks. These companies are collectively establishing a new standard for the enterprise AI stack: a secure, governed environment for knowledge work paired with a generative engine for technical implementation.
Ultimately, the Samsung case proves that the primary bottleneck for AI adoption in large organizations is not the capability of the model, but the robustness of the security perimeter. By solving the tension between productivity and privacy, Samsung has turned AI from a risky experiment into a mandatory utility. The competitive advantage in the next era of industry will not be determined by who has the best model, but by who can most rapidly embed those models into the actual daily workflows of their employees.
