Jensen Huang's partnership with LG Electronics signals a major shift in how AI moves from data centers into the physical world. The Nvidia CEO recently met with LG Group Chairman Koo Kwang-mo to deepen their collaboration on robotics, digital twins, and AI infrastructure. The result is a corporate transformation that's turning LG from a traditional appliance maker into what executives are calling a "physical AI" company, with earnings that reflect the market's confidence in this pivot.

What Is Physical AI and Why Does It Matter?

Physical AI refers to AI systems that operate in the real world, not just in software. Instead of language models that generate text, physical AI powers robots that move, learn, and adapt to their environments. LG Electronics is positioning itself at the center of this emerging market by combining Nvidia's AI platforms with its own hardware manufacturing expertise and vast troves of real-world data collected from smart homes and factories worldwide.

The partnership between Huang and LG has accelerated rapidly. In April, Huang's eldest daughter, Madison Huang, who oversees robotics at Nvidia, met with LG's management to discuss physical AI cooperation. The relationship deepened when Jensen Huang himself met with Chairman Koo in Seoul, followed by a working-level visit from an LG delegation to Nvidia's Santa Clara headquarters.

How Is LG Building Its Physical AI Business?

• Home Robotics: LG's home robot "Cloid" is equipped with Nvidia's robotics-specific chipset called "Jetson Thor" and trained through Nvidia's virtual simulation platform "Isaac," combining hardware manufacturing with advanced AI training.
• Actuator Manufacturing: LG is entering the robot components market by producing actuators, the core parts that enable robot joints and movement, leveraging its experience manufacturing tens of millions of motors annually.
• AI Data Center Cooling: LG is developing specialized chillers for hyperscale data centers, with qualification testing in final stages and revenue expected within 6 to 9 months after completion.

LG's competitive advantage lies in its "real-world data." The company has collected extensive usage information through its ThinQ smart home platform and detailed manufacturing data from 31 production facilities across 14 countries. This data is essential for training robots and advancing AI models.

The organizational commitment is substantial. On July 1st, LG established a CEO-level "Robotics Business Center" with dedicated departments for business development, sales, operations, and a "Data Factory" for robot learning. This signals that robotics is now a core growth engine for the company.

"We further specified the scope of cooperation and strategic partnership opportunities. The core is collaboration on robot form factors, which can become representative devices of physical AI," stated Ryu Jae-cheol, President and CEO of LG Electronics.

Ryu Jae-cheol, President and CEO of LG Electronics

What Do the Numbers Tell Us About LG's Transformation?

LG Electronics posted record second-quarter results that validate the market's confidence in this pivot. The company reported revenue of 23.83 trillion won (approximately $15.8 billion) and operating profit of 1.58 trillion won (approximately $1.0 billion), representing year-over-year increases of 14.9% and 146.9%, respectively. On a first-half basis, operating profit alone surpassed the entire previous year's full-year operating profit.

Wall Street is responding aggressively. Citigroup raised its target price by 135 percent, from 170,000 won to 400,000 won (approximately $265.50). Bank of America set its target at 350,000 won (approximately $232.31), and Kyobo Securities increased its target by 94 percent to the same level. These price targets reflect a fundamental re-rating of LG from a mature appliance company to a growth stock in the emerging physical AI market.

How Are AI Engineers Responding to This Shift?

Beyond LG, the broader AI industry is experiencing a fundamental change in how engineers work. Jensen Huang recently highlighted a shift in developer preferences that underscores why physical AI matters. He noted that the rise of "agentic systems" is creating new technical skills and changing how engineers spend their time.

"Every one of my software engineers prefers to be building agents than to be writing Python code," said Jensen Huang, CEO of Nvidia.

Jensen Huang, CEO of Nvidia

Huang explained that AI is reducing the amount of manual coding engineers perform, allowing them to focus on designing AI systems, creating benchmarks, and developing safety measures known as guardrails. This shift from writing code to building AI agents mirrors the broader industry move toward physical AI systems that operate autonomously in the real world.

The transformation at LG Electronics reflects this larger trend. As AI moves from data centers into robots and physical systems, companies that can manufacture hardware, collect real-world data, and integrate AI platforms will have a significant advantage. Huang's partnership with LG suggests that Nvidia sees this convergence as central to the next phase of AI's evolution, and the market is pricing in substantial growth potential for companies positioned at this intersection.