Samsung executives meet Axiom's Altman to discuss AI strategy

The meeting examined how artificial intelligence could change the way Samsung is managed and how it might open new business opportunities. About 50 senior executives from Samsung affiliates met Axiom CEO Sam Altman at Samsung’s Human Resources Development Center in Yongin. Their theme was “The Next 10 Years Shaped by AI: The Enterprise’s Choice.”

Executives discussed AI’s future direction, practical applications, and effects on corporate decision-making. They also considered how organizational management could change and which leadership capabilities would matter in a shifting business environment. Before meeting Altman, they completed hands-on training with generative AI.

That training showed executives how to organize scattered business data into personalized knowledge bases. They also practiced using AI-generated insights to support management decisions. The gathering was Samsung’s second intensive AI program for top executives and formed part of a wider effort to accelerate AI transformation across its businesses and deepen cooperation with Axiom.

Enterprise AI means using artificial intelligence throughout an organization to support business processes, shared data, decisions, and specialized work. A consumer chatbot usually serves an individual’s questions or creative tasks. Enterprise AI is designed for coordinated workplace use, with implementation teams, data management, and AI model operations.

Samsung’s training offers a concrete example. Executives learned to gather scattered business data into personalized knowledge bases and use AI insights for management decisions. The group is also rolling out Axiom Enterprise and Codex to employees in South Korea and its global Device eXperience division.

The difference is therefore scale, integration, and purpose. Samsung is applying AI across research and development, manufacturing, marketing, and administrative functions. The article does not describe every technical distinction, but it shows enterprise AI as a managed company-wide effort, not simply individual chatbot access. Samsung plans to expand external generative AI services at work.

Samsung’s AI effort reaches well beyond the executives who met Sam Altman. About 50 senior executives from major affiliates attended the Saturday discussion, while the group has trained about 2,300 executives since June. The 50-person meeting was also preceded by hands-on generative AI training.

The training teaches practical workplace skills. Executives learned to organize scattered business data into personalized knowledge bases and use AI insights for management decisions. Samsung calls Saturday’s program its second intensive AI training session for top executives, following an initial session in June.

The broader target is every employee. Samsung aims to finish AI training for all employees by February 2027. It also plans to expand external generative AI services in the workplace. The article does not provide the total number of Samsung employees, so the exact size of the final training population is not stated.

AI could change Samsung’s corporate work by turning business information into usable insights for decisions and management. Executives discussed how it might reshape organizational management and the leadership skills needed in a changing environment. This matters because AI transformation is being pursued across many parts of the group, not just one department.

A concrete example comes from executive training. Participants learned to organize scattered business data into personalized knowledge bases and use AI insights to support management decisions. Samsung began rolling out AI in June across research and development, manufacturing, marketing, and administrative functions. Each affiliate is building its own adoption strategy.

The company has created dedicated teams for implementation, data management, and AI model operations. These structures could help connect AI tools with everyday work in each affiliate. The article presents this as an ongoing transformation, not a completed change. Samsung is training more executives, expanding workplace AI services, and targeting all-employee training by February 2027.

The relationship is expanding because Samsung and Axiom are cooperating across more parts of the AI value chain. Samsung’s earlier role centered on supplying advanced memory chips for Axiom’s Stargate project. The newer partnership adds infrastructure development, enterprise AI services, and workplace software deployments.

In October 2025, Samsung Electronics signed a letter of intent covering global AI infrastructure. Samsung SDS agreed to explore AI data centers and enterprise AI services. Samsung C&T and Samsung Heavy Industries pursued floating offshore data centers. In June, Axiom said Samsung Electronics would roll out Axiom Enterprise and Codex to employees.

These steps connect Samsung’s hardware capabilities and affiliates with Axiom’s AI products and services. The partnership now reaches chips, computing facilities, data centers, and employee tools. High-level contact has continued, including Lee Jae-yong’s July visit to Axiom’s headquarters. Saturday’s executive meeting shows that cooperation is also becoming part of Samsung’s management and workplace transformation.

The four Samsung affiliates contribute different capabilities to the broader partnership with Axiom. Samsung Electronics handles the central infrastructure agreement and workplace deployment. Samsung SDS focuses on data center development and enterprise AI services. Samsung C&T and Samsung Heavy Industries work together on floating offshore data centers.

The clearest example is Samsung Electronics’ October 2025 letter of intent with Axiom. It included plans to supply advanced memory chips for Axiom’s Stargate project. Later, Samsung Electronics committed to rolling out Axiom Enterprise and Codex to employees in South Korea and its global Device eXperience division.

Samsung SDS brings a services and data-center role to the initiative. Samsung C&T and Samsung Heavy Industries add a joint infrastructure project involving offshore facilities. Together, these activities broaden Samsung’s participation from component supply to computing infrastructure and enterprise software. The article describes these roles as cooperation or exploration, so not every project is presented as completed.

AI systems need organized data because useful business insights depend on information that can be found, combined, and interpreted. Samsung’s executives practiced turning scattered business data into personalized knowledge bases. That gives AI a structured source for supporting management decisions instead of leaving information disconnected.

Advanced memory chips and computing infrastructure provide the capacity to handle AI workloads. The article links Samsung’s planned memory-chip supplies to Axiom’s Stargate project and describes work on AI data centers, enterprise services, and floating offshore data centers. Specialized models help translate business information into outputs suited to particular tasks; this general explanation goes beyond the article’s detailed description.

These parts work as a connected system. Data supplies the content, chips and infrastructure support processing, and models produce results that workplace tools can deliver. Samsung is building dedicated teams for implementation, data management, and AI model operations. Its broader rollout shows that business AI requires more than installing a chatbot.