Nvidia is making a strategic shift from pure software and data centers toward physical artificial intelligence, with CEO Jensen Huang's daughter Madison Huang leading partnership discussions across South Korea's largest tech companies. Madison Huang, who serves as senior director of product marketing for Omniverse and Robotics at Nvidia, recently visited Doosan Robotics, Samsung Electronics, SK hynix, and LG Electronics to discuss integrating Nvidia's AI ecosystem with their robotics and semiconductor platforms.

What Is Physical AI and Why Does It Matter?

Physical AI represents a fundamental expansion of artificial intelligence beyond chatbots and data analysis into the real world. Rather than processing text or images on servers, physical AI systems control robots and machines that perform actual work in factories, warehouses, and industrial settings. This shift matters because it opens entirely new markets for Nvidia beyond its traditional GPU (graphics processing unit) and data center business.

During her visit to Doosan Robotics' Innovation Center in Bundang-gu, Seongnam, Madison Huang discussed integrating Nvidia's AI and robotics ecosystem with Doosan's intelligent robot solutions and industrial humanoids. The partnership aims to build what the companies call a "robot execution platform" that can be deployed in real industrial environments.

How Are Nvidia and Doosan Building the Next Generation of Industrial Robots?

The collaboration centers on connecting Doosan Robotics' proprietary "Agentic Robot Operating System" with Nvidia's AI simulation and training infrastructure. This operating system allows artificial intelligence to analyze work environments, optimize movement paths, and support safe and precise task execution without human intervention.

To enhance this system, Doosan Robotics is developing several key components:

• Robot-AI Interfaces: Custom software layers that allow AI models to communicate directly with robot hardware and sensors.
• Standard Control Protocols: Unified commands that enable different robot types to understand and execute AI-generated instructions consistently.
• Specialized Task Models: AI models trained specifically for industrial tasks like palletizing, assembly, and material handling.
• Safety Guardrails: Technical safeguards that prevent robots from executing dangerous or erroneous commands in live factory environments.

Doosan Robotics plans to unveil intelligent robot solutions based on this system in 2027, followed by industrial humanoid products in 2028. The company will showcase collaboration results at major global exhibitions in 2027, including CES in Las Vegas.

"The success of physical AI depends not only on the intelligence of the AI model, but also on the stability of the execution platform that operates it without error in the field," said Kim Min-pyo, CEO of Doosan Robotics.

Kim Min-pyo, CEO at Doosan Robotics

The partnership builds on existing momentum. Doosan Robotics previously unveiled an "AI depalletizing solution" at CES 2026 in January that applied Nvidia's Isaac Sim virtual simulation technology and cuMotion robot motion optimization. Additionally, Doosan's research and development engineers won Nvidia's global AI robot competition, the "Cosmos Cook-Off," with their "Explainable Palletizer" project.

Why Is Nvidia Targeting South Korea's Tech Giants?

Madison Huang's simultaneous meetings with Samsung Electronics and SK hynix reveal Nvidia's broader strategy to build an integrated physical AI ecosystem. These semiconductor manufacturers are critical because robots and AI systems require specialized chips optimized for real-time processing and low-power operation.

LG Electronics is also in discussions with Nvidia on potential cooperation spanning robotics development, AI-driven data center solutions, and future mobility applications. These talks highlight growing interest in integrating advanced AI hardware and software across industries as demand for high-performance computing infrastructure continues to rise.

South Korea represents a strategic hub for this expansion. The country is home to world-leading semiconductor manufacturers, established robotics companies, and a strong manufacturing base that needs automation solutions. By partnering with multiple South Korean firms simultaneously, Nvidia is positioning itself as the central nervous system for physical AI across the region.

What Does Jensen Huang Say About AI's Impact on Jobs and Society?

While his daughter negotiates robotics partnerships, Jensen Huang himself has been addressing broader concerns about artificial intelligence's societal impact. At the IEEE Medal of Honor ceremony, the 63-year-old Nvidia CEO framed AI as a transformative technology that will reshape work rather than simply eliminate it.

"We now recognize this general purpose technology we call intelligence as an opportunity to create new industries, create brand new jobs," said Jensen Huang.

Jensen Huang, CEO at Nvidia

Huang acknowledged that AI will fundamentally change existing job descriptions. "It will shape every job. Some will no longer be necessary. Many new ones will be invented beyond our imagination today," he stated. He emphasized that engineers bear responsibility for guiding AI development toward public benefit, noting that "the engineers in the AI industry must advance AI in service of a better future for all of us".

Huang

This messaging is significant because it positions Nvidia not just as a hardware company but as a responsible steward of transformative technology. As Nvidia expands into physical AI through partnerships like those with Doosan Robotics, these assurances about job creation and societal benefit become increasingly important to regulators, workers, and the public.

The convergence of Madison Huang's robotics partnerships and Jensen Huang's public statements about AI's societal role suggests Nvidia is preparing for a future where artificial intelligence moves from data centers into factories, warehouses, and streets. The company is building the software, partnerships, and public narrative needed to make that transition successful.