The Samsung AI Forum 2026 in Seoul, themed “The Agentic Shift: From Intelligence to Impact,” showcased a day of keynote talks and tracks on agentic AI, world models, and practical deployments across Samsung’s DX and DS divisions.

OpenAI’s Richard Ho highlighted agentic workflows, the need for human judgment and verification, and how agents can execute multi-step tasks with autonomous process adjustments. He also noted a semiconductor design case where AI aided RTL design through iterative validation.

Samsung’s own leadership stressed that agentic AI will transform work, culture, and collaboration with global AI leaders to pursue practical innovation, underscoring harmony with security and the business environment as a priority.

Samsung is accelerating its AI transformation to enable autonomous decision-making and real-world execution across operations—from chip design to manufacturing.

Afternoon tracks explored on-device AI, world models, continual/self-evolving AI, and enterprise AI deployment with industry partners, including Dell Technologies and Anthropic, applied to semiconductor design and manufacturing.

The Device eXperience and Device Solutions tracks highlighted on-device AI, world models, and real-world AI deployments that drive efficient and practical applications across Samsung’s product and production lines.

Sessions covered AI technology, AX Innovation, and real-world uses in manufacturing, featuring case studies and collaborations aimed at reducing costs and improving reliability in semiconductor workflows.

The article was produced with generative AI assistance and edited by The Korea Times.

Samsung’s leadership reiterated that agentic AI will reshape not only technology but also work practices and organizational culture, calling for global collaboration to drive practical AI breakthroughs.

Samsung officially adopted ChatGPT, Gemini, and Claude as part of its AX initiative to reshape work around AI.

Industry partners like Dell Technologies and Anthropic discussed deploying trusted AI agents and building enterprise AI factories for scalable AI deployment.

Experts highlighted on-device AI optimization, world models for real-world prediction, and practical industry deployments, illustrating concrete use cases for AI in manufacturing and design.