Global big tech companies converged at the 'LG CNS AI Tech Summit 2026' hosted by LG CNS. The company plans to focus on providing enterprise agent operating environments this year in partnership with these firms.
According to industry sources on the 28th, LG CNS held the LG CNS AI Tech Summit 2026 at Seoul Magok Science Park on the 26th to share AI technology and business strategies. The event was organized to explore stable AI adoption, agentic AI transformation, and sovereign AI implementation as artificial intelligence transitions expand from individuals and startups to enterprises.
Jin Yo-han, Head of LG CNS AI Center, delivered the keynote address on domestic enterprise AX (AI transformation) progress. "The changes over the past year have been greater than the previous 20 years," Jin said. "AI is now expanding into all areas, including physical AI advancing into fields like factories."
He added: "In 2023, we remained at the proof-of-concept stage testing generative AI possibilities. In 2024, we focused on connecting AI to internal documents and data. In 2025, we are transitioning to the agentic AI stage where reasoning models call various work tools."
Jin characterized this year as the "year of AI field deployment," marking the starting point for transformation into sovereign enterprises with actual operational capabilities.
Jin identified operational strategy as the core of enterprise AX, as companies must consider cost burdens, proprietary data management, security, and access control while using various models for different purposes.
"To build AX operational capabilities applicable to actual work, model strategy, security, access systems, infrastructure, and operating platforms must be designed together," Jin said. "Collaboration with global tech companies to combine and supply necessary technologies becomes increasingly important. Once one or two success cases emerge, this could accelerate adoption across enterprises."
He also introduced 'Agent Works,' announcing plans to assist companies with routing and operations—areas difficult to manage directly when integrating generative AI into actual work.
Representatives from OpenAI, Palantir, NVIDIA, FuriosaAI, and Rebellions attended the event to present AX trends and company-specific solutions.
Kwon Nam-oh, General Manager at Palantir, emphasized: "Successful enterprise AI requires long-term strategy spanning 3-5 years at minimum, up to 10 years, along with a strong organization to lead it. The ultimate form of enterprise AI is not merely using AI as a tool for specific teams, but establishing it as the operational method for the entire company."