Podcast Episode
The NVIDIA CEO explained that Europe can now fuse its industrial capability and manufacturing expertise with artificial intelligence, bringing the region into the world of physical AI. This represents a fundamental shift from purely digital applications to AI systems that can perceive, reason about, and interact with the physical environment.
Major European industrial companies have already begun capitalizing on this convergence. Mercedes Benz is using NVIDIA's Omniverse platform to virtually design and optimise factory assembly lines before physical construction begins. Siemens has expanded its partnership with NVIDIA to accelerate industrial AI applications. Volvo and Schaeffler have also announced significant robotics projects and partnerships over the past year.
The region faces some of the highest energy costs globally, a situation exacerbated by disruptions linked to the conflict in Ukraine and subsequent sanctions on Russian energy supplies. This creates a significant competitive disadvantage in an industry where computational power directly translates to capabilities and market position.
Microsoft CEO Satya Nadella reinforced this concern during a separate World Economic Forum session, stating that energy costs will determine which country wins the AI race and that GDP growth in any location will be directly linked to the energy costs of deploying AI systems. Current projections suggest that data centers could account for up to 150 terawatt hours of electricity consumption across the European Union by 2026, representing a 30 percent increase from 2023 levels.
According to Huang, 2025 was one of the largest years for global venture capital funding on record, with over 100 billion dollars deployed worldwide. The majority of this capital flowed into AI-native companies spanning diverse sectors including healthcare, robotics, manufacturing, and financial services.
At the Consumer Electronics Show in January 2026, NVIDIA released new foundation models including updates to its Cosmos and GR00T platforms for robot learning and reasoning. The company also introduced new hardware, including the Blackwell architecture-powered Jetson module delivering four times greater energy efficiency and AI compute capabilities. Global partners including Boston Dynamics, Caterpillar, Franka Robotics, Humanoid, LG Electronics, and NEURA Robotics are using NVIDIA's robotics stack to develop next generation AI-driven robots.
The coming years will likely determine whether Europe can translate its manufacturing heritage into leadership in the physical AI era, or whether energy constraints and regulatory complexity will allow other regions to capture the economic value of this technological transition. With major industrial companies already making significant investments and partnerships, the foundation is being laid, but the ultimate outcome remains uncertain.
NVIDIA CEO Calls AI Robotics a Once in a Generation Opportunity for Europe
January 21, 2026
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Speaking at the World Economic Forum in Davos on January 21, 2026, NVIDIA CEO Jensen Huang issued a compelling call to action for European leaders, framing AI-powered robotics as a transformative opportunity that could allow the continent to leapfrog past decades of US dominance in the software industry. Huang's remarks, delivered alongside BlackRock Chairman Larry Fink, highlighted both the immense potential and critical challenges facing Europe as the global robotics race intensifies.
Europe's Industrial Advantage in the Physical AI Era
Huang praised Europe's incredibly strong industrial manufacturing base as a natural foundation for leadership in what he termed physical AI, the integration of artificial intelligence with robotics and real-world systems. Unlike the software era, which has been dominated by American tech giants, the emerging robotics sector plays directly to European strengths in engineering, precision manufacturing, and industrial innovation.The NVIDIA CEO explained that Europe can now fuse its industrial capability and manufacturing expertise with artificial intelligence, bringing the region into the world of physical AI. This represents a fundamental shift from purely digital applications to AI systems that can perceive, reason about, and interact with the physical environment.
Major European industrial companies have already begun capitalizing on this convergence. Mercedes Benz is using NVIDIA's Omniverse platform to virtually design and optimise factory assembly lines before physical construction begins. Siemens has expanded its partnership with NVIDIA to accelerate industrial AI applications. Volvo and Schaeffler have also announced significant robotics projects and partnerships over the past year.
The Energy Constraint Challenge
Despite Europe's industrial advantages, Huang issued a stark warning about a potential bottleneck that could undermine the continent's competitiveness. Energy. Europe must get serious about expanding its energy supply to support the massive infrastructure buildout required for AI development, he cautioned.The region faces some of the highest energy costs globally, a situation exacerbated by disruptions linked to the conflict in Ukraine and subsequent sanctions on Russian energy supplies. This creates a significant competitive disadvantage in an industry where computational power directly translates to capabilities and market position.
Microsoft CEO Satya Nadella reinforced this concern during a separate World Economic Forum session, stating that energy costs will determine which country wins the AI race and that GDP growth in any location will be directly linked to the energy costs of deploying AI systems. Current projections suggest that data centers could account for up to 150 terawatt hours of electricity consumption across the European Union by 2026, representing a 30 percent increase from 2023 levels.
The Scale of the AI Infrastructure Buildout
Huang characterized artificial intelligence as powering the largest infrastructure buildout in human history, with hundreds of billions already invested and trillions of dollars of infrastructure that needs to be built out in the coming years. This unprecedented scale reflects both the transformative potential of AI technologies and the enormous capital requirements for training advanced models and deploying them at scale.According to Huang, 2025 was one of the largest years for global venture capital funding on record, with over 100 billion dollars deployed worldwide. The majority of this capital flowed into AI-native companies spanning diverse sectors including healthcare, robotics, manufacturing, and financial services.
Global Competition in Robotics Intensifies
The robotics sector has attracted substantial attention from major technology companies and investors worldwide. Tesla CEO Elon Musk predicted in September that 80 percent of his company's value would eventually derive from its Optimus humanoid robots. Google's AI division DeepMind has unveiled AI models specifically designed for robotics applications, while NVIDIA has announced partnerships with Alphabet to develop physical AI systems.At the Consumer Electronics Show in January 2026, NVIDIA released new foundation models including updates to its Cosmos and GR00T platforms for robot learning and reasoning. The company also introduced new hardware, including the Blackwell architecture-powered Jetson module delivering four times greater energy efficiency and AI compute capabilities. Global partners including Boston Dynamics, Caterpillar, Franka Robotics, Humanoid, LG Electronics, and NEURA Robotics are using NVIDIA's robotics stack to develop next generation AI-driven robots.
A Pivotal Moment for European Competitiveness
Huang framed the current moment as pivotal for European competitiveness in the global technology landscape. Robotics is a once in a generation opportunity, he emphasized, particularly for nations with strong industrial bases. However, realizing this potential will require European governments and industry to address fundamental infrastructure challenges, particularly around energy supply and costs.The coming years will likely determine whether Europe can translate its manufacturing heritage into leadership in the physical AI era, or whether energy constraints and regulatory complexity will allow other regions to capture the economic value of this technological transition. With major industrial companies already making significant investments and partnerships, the foundation is being laid, but the ultimate outcome remains uncertain.
Published January 21, 2026 at 7:54pm