Nvidia CEO Jensen Huang said robotics is a potential area of investment for the company in South Korea [1].

This move signals a strategic shift for the chipmaker as it seeks to expand its artificial intelligence ecosystem beyond semiconductors. By targeting robotics, Nvidia aims to integrate its AI hardware and software into physical automation, leveraging South Korea's industrial infrastructure to scale new technologies.

Huang said this on June 2, 2026 [1], ahead of a planned visit to the country later this week. During the announcement, he said, "South Korea is an indispensable core axis of NVIDIA's AI ecosystem" [2].

Beyond investment, Huang proposed that Seoul could host the company's GPU Technology Conference, known as GTC [2]. The event is a primary venue for Nvidia to showcase its latest AI advancements to global developers and industry leaders. Huang said, "Seoul can host GTC if it wants — and I'll have samgyeopsal when I visit" [2].

Parallel to these goals, Huang met with SK Group's Chey in Taipei, Taiwan, to discuss cooperation regarding AI memory chips [3]. This meeting underscores the interconnected nature of the AI supply chain, where memory chip efficiency is critical for the performance of the GPUs that power robotics and large language models.

Huang said robotics is a growth frontier within the broader AI landscape [2]. By deepening collaborations with South Korean partners, Nvidia intends to move from being a component supplier to a central architect of robotic intelligence, a transition that could redefine industrial automation in Asia.

"South Korea is an indispensable core axis of NVIDIA's AI ecosystem."

Nvidia's pivot toward robotics investment in South Korea reflects a broader industry trend where AI is moving from digital interfaces to physical embodiment. By aligning with South Korean industrial giants and proposing a GTC event in Seoul, Nvidia is attempting to secure a dominant position in the 'physical AI' layer, ensuring its chips remain the standard for the next generation of autonomous machines.