Nvidia widens AI portfolio with LG humanoid robot collaboration, expanding beyond data centers

Nvidia widens AI portfolio with LG humanoid robot collaboration, expanding beyond data centers

SANTA CLARA, California, August 17, 2026, 03:33 PDT

  • Nvidia and LG are expanding beyond AI infrastructure, entering the humanoid robotics sector.
  • The robot in development will utilize Nvidia’s Isaac GR00T along with Jetson Thor platforms.
  • Investors are asking if physical AI has the potential to emerge as a significant second driver of growth.

Nvidia Corp. is expanding its AI offerings within robotics as LG Group announced intentions to launch an advanced bipedal humanoid robot using Nvidia technology in early 2027. The upcoming robot will reportedly utilize Nvidia’s Isaac GR00T foundation model together with the Jetson Thor computing platform.

Stock chart for NASDAQ:NVDA

The launch is significant as Nvidia continues to generate most of its revenue from data-center AI chips. Humanoid robots have the potential to expand the company’s computing platform into sectors like factories, logistics, and service settings, opening up a further market for its hardware and software offerings.

The LG initiative further expands an existing partnership that covers AI data centers. Nvidia CEO Jensen Huang stated in June that the two firms are collaborating on motor technology, mechanical systems, and the development of future data-center architectures.

Product / platformRoleInvestor relevance
LG humanoid robotBipedal robot for future applicationsPossibility for new market growth
Nvidia Isaac GR00TBase model powering humanoid robotsMonetization through software solutions
Nvidia Jetson ThorRobotics computing at the device levelDrives demand for edge AI hardware
Nvidia AI data-center stackInfrastructure supporting training and inferenceMain source of profit generation

The financial potential is still in its early stages. Nvidia has not revealed projected revenue from the LG robot, and LG has yet to announce a production goal. At this point, the initiative serves more to demonstrate the platform’s expanding influence than to act as an immediate catalyst for earnings.

Nvidia’s strategy centers on its platform approach. The company provides compute, networking, and software for AI factories, and its robotics offerings introduce inference capabilities at the edge. The identical training stack is able to support models that are later deployed on machines beyond the data center.

Recent Nvidia metricFigureWhy it matters
First-quarter fiscal 2027 data-center revenue$75.2 billionUnderscores ongoing strength of core infrastructure
Year-over-year data-center growth92%Highlights requirements for new business units
AI financing initiativeMore than $500 billion targetedAims to expand Nvidia system adoption
LG humanoid debutQ1 2027 plannedMarks the first significant public launch

Nvidia posted a record $75.2 billion in data-center revenue for the first quarter of fiscal 2027, marking a 92% increase from the same period the year before. Given this scale, robotics would require several years of adoption to significantly impact the company’s revenue composition.

Even so, the potential market size may be significant. RBC analyst Tom Narayan forecasts annual robot sales could ultimately total 350 million units, valued at roughly $9 trillion by 2050, Barron’s reported. The projection is far off and carries considerable uncertainty, but it highlights why chipmakers are committing investment now.

Nvidia is broadening its roster of robotics collaborators. The firm announced intentions to collaborate with makers of humanoid robots in the United States, Europe, and South Korea, along with China’s Unitree. This move supports perceptions that Nvidia seeks to establish its compute stack as a widespread standard in robotics.

Analyst / sourceViewPrice target
Bank of AmericaBuy$350
BernsteinBuy$315
CitiBuy$300
FactSet consensusGenerally positiveRoughly $314 average

Sentiment on Nvidia remains largely positive across Wall Street analysts, though opinions on valuation differ significantly. Bank of America continues to rate the stock as Buy with a price objective of $350. Bernstein targets $315, and Citi projects $300. FactSet figures referenced by Barron’s show an average price target close to $314, with forecasts spanning from $180 to $743.

The robotics development comes as Nvidia extends its AI infrastructure financing. The company revealed collaborations with leading financial organizations to help facilitate over $500 billion in third-party AI infrastructure funding, aiming to ease capital requirements for customers and potentially boost demand for Nvidia hardware.

Risks: LG’s robot is scheduled for release in 2027 at the earliest, and production numbers have yet to be determined. There is also no assurance that humanoid robots will achieve widespread commercial use. Nvidia may face additional pressure from competitors producing custom chips and alternative robotics solutions.

For investors, the perspective is clear. Nvidia’s valuation is not dependent on the widespread adoption of humanoid robots; however, with each additional machine adopting Isaac and Jetson, the likelihood grows that its AI ecosystem could reach further than just servers. The LG initiative is an initial demonstration of this idea.

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Further analysis

What is the significance of Nvidia’s LG humanoid robot project for investors?
This offers Nvidia an alternative channel for its AI stack outside of data centers. LG’s upcoming robot is anticipated to incorporate Nvidia’s Isaac GR00T model and Jetson Thor compute platform, which could boost demand for robotics software and hardware. The financial implications remain unclear, as both companies have yet to reveal production numbers or projected revenue.
Is it likely that robotics will start contributing significantly to Nvidia's revenues in the near future?
Based on the figures that have been made public, not in the near future. Nvidia reported $75.2 billion in data-center revenue for the first quarter of fiscal 2027, and there is no revenue guidance available for the LG humanoid project. As a result, robotics currently represents an ecosystem-building opportunity instead of a significant driver of earnings.
What is the primary threat to the Nvidia robotics thesis?
Widespread commercial use has yet to be demonstrated. LG intends to launch the robot in 2027, but production quantities have not been disclosed, and rival robotics solutions may restrict Nvidia’s market share. Investors are also uncertain if physical AI will deliver margins on par with Nvidia’s main data-center segment.
Iwona Majkowska

Iwona Majkowska is a financial markets journalist at TS2.tech. She covers stocks, artificial intelligence and technology, with a focus on the stories moving U.S. and global markets. Before turning to financial journalism, she worked in equity research and financial analysis. She is a graduate of the Warsaw School of Economics. Follow Iwona Majkowska on Google News.

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