South Korean President Lee Jae-myung has departed for a diplomatic tour of the U.S. and other nations to secure artificial intelligence investments [1].
This mission represents a strategic effort by Seoul to integrate itself into the global AI supply chain. By targeting the world's most influential technology firms and emerging markets, South Korea aims to solidify its position as a leader in AI infrastructure and cooperation.
The tour will last seven nights and 11 days [1]. President Lee's first stop is San Francisco, where he is scheduled to meet with four tech leaders, including Nvidia CEO Jensen Huang and OpenAI CEO Sam Altman [1]. These meetings are intended to produce concrete partnerships and investment agreements with companies at the forefront of the AI revolution.
Following the U.S. leg of the trip, the president will travel to three South American countries: Brazil, Chile, and Argentina [1]. The itinerary concludes with a visit to Germany [1]. The broad geographic scope of the tour suggests a goal of diversifying diplomatic ties and expanding the reach of South Korean technology exports across different continents.
Kim Yong-beom, the Blue House Policy Chief, said that the administration intends to emphasize South Korea's commitment to full-scale AI investment and global cooperation. He said the government expects practical results, such as investment and cooperation from key companies in the global AI supply chain [2].
President Lee was seen at Seoul's Incheon Airport departing for the trip, accompanied by First Lady Kim Hye-kyung [2]. The departure follows an announcement made on the 22nd of this month [1].
“South Korea aims to solidify its position as a leader in AI infrastructure and cooperation.”
This diplomatic push signals South Korea's recognition that AI dominance requires both high-end hardware partnerships in the U.S. and market expansion in the Global South. By linking San Francisco's technical ecosystem with the economic potential of Brazil, Chile, and Argentina, Lee is attempting to create a comprehensive network of AI influence that spans from chip design to end-user implementation.
