EY has announced a major leap in its robotics and automation strategy with the introduction of a new physical AI platform built using Nvidia technologies, the opening of a dedicated EY.ai Lab in Georgia, and the appointment of its first global physical AI leader. The new platform is designed to help enterprises adopt and manage AI systems that operate through robots, drones, smart-edge devices and other autonomous technologies.
Developed with Nvidia Omniverse libraries, Nvidia Isaac and Nvidia AI Enterprise, the system gives organizations access to advanced digital twin capabilities, robotics simulation and next-generation AI workloads across industries such as energy, healthcare, industrial operations and consumer markets. Through these integrations, EY aims to assist companies in designing and testing physical systems in virtual environments before deploying them into real-world production.
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The platform is built on three core foundations: AI-ready data, digital twin development with robotics simulation and a responsible physical AI framework focused on safety, ethics and regulatory compliance. According to Raj Sharma, EY’s global managing partner for growth and innovation, physical AI is becoming a transformative force for enterprises by improving automation, increasing efficiency and significantly reducing operational costs. He emphasized that combining EY’s industry expertise with Nvidia’s AI ecosystem will help organizations shift from experimentation to enterprise-scale adoption more responsibly and efficiently.
Nvidia highlighted the collaboration as part of an accelerating shift toward next-generation automation. John Fanelli, vice president of enterprise AI software at Nvidia, noted that physical AI and robotics are becoming vital as businesses adapt to demographic shifts and prioritize workplace safety. The new EY.ai Lab in Georgia, powered by Nvidia AI infrastructure, will enable organizations to simulate, optimize and deploy robotics applications at scale.
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EY also introduced Dr. Youngjun Choi as the first EY Global Physical AI Leader. With experience leading the UPS Robotics AI Lab and conducting research in aerial robotics at Georgia Tech, Choi will guide EY’s global robotics and physical AI initiatives. Additionally, he will support the development of the newly launched EY.ai Lab in Alpharetta, which EY describes as an advanced facility designed to seamlessly integrate AI within physical environments using robotics, sensors and simulation tools.
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According to EY Global Chief Innovation Officer Joe Depa, clients are increasingly seeking innovative ways to apply technology for stronger decision-making and improved business performance. Physical AI, supported by trusted AI-ready data and responsible governance, is now positioned as a key driver of this transformation. The launch of the lab also strengthens EY’s ongoing partnership with Nvidia, following an agentic AI platform released earlier this year.
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