A dedicated EY.ai Lab and new leadership mark a major step toward advanced robotics, digital twins, and next-generation intelligent systems.

Alpharetta, Georgia, 3 December 2025 — EY has unveiled a groundbreaking physical AI platform developed with NVIDIA’s Omniverse, Isaac, and AI Enterprise technologies, marking a significant expansion of the firm’s work in robotics, automation, and intelligent systems. Alongside this launch, EY has opened its new EY.ai Lab in Alpharetta and appointed Dr. Youngjun Choi as the EY Global Physical AI Leader, reinforcing its commitment to shaping the future of AI-driven innovation.

The new platform enables organizations to design, simulate, test, and deploy AI-powered robots, drones, and smart-edge devices using synthetic data, digital twins, and advanced robotics training frameworks. This gives industries a safer, faster, and more cost-effective way to bring automation into real-world operations.

Transforming Digital and Physical Worlds Through AI

Developed using NVIDIA Omniverse libraries and Isaac robotics frameworks, EY’s platform bridges the gap between virtual testing and physical deployment. Companies can model complex environments, run simulations, refine performance, and ensure safety — all before rolling out AI-driven systems in factories, warehouses, hospitals, or energy facilities.

The platform is built on three key pillars:

• AI-ready data created through synthetic simulations
• Digital twins and robotics training using NVIDIA Omniverse
• Responsible physical AI guided by safety, ethics, and compliance

With these components, EY supports clients across industrial, consumer, energy, and healthcare sectors as they integrate and scale physical AI solutions from strategy to deployment.

Industry Leaders React to the Shift Toward Physical AI

Raj Sharma, EY Global Managing Partner Growth & Innovation, emphasized that physical AI is transforming how businesses operate, helping reduce costs, improve efficiency, and unlock new value. The collaboration with NVIDIA, he noted, will accelerate responsible, enterprise-scale automation.

NVIDIA Vice President John Fanelli highlighted that companies are moving rapidly toward robotics to improve worker safety and tackle evolving industrial challenges. He said the EY.ai Lab, empowered by NVIDIA technology, will help enterprises deploy robotics solutions at scale.

New Leadership to Guide EY’s Vision

EY has appointed Dr. Youngjun Choi, a seasoned robotics and AI expert, as the Global Physical AI Leader. Dr. Choi previously led the UPS Robotics AI Lab and has deep experience in digital twins, autonomous systems, and advanced robotics research. He will oversee the next generation of EY’s physical AI initiatives and help shape global strategy.

Dr. Choi will also help lead the new EY.ai Lab, a cutting-edge facility equipped with robotics platforms, sensors, and simulation environments to support clients as they prototype and refine physical AI applications.

EY.ai Lab: A New Hub for Physical AI Innovation

Located in Alpharetta, Georgia, the EY.ai Lab is designed to help organizations:

• Simulate and validate physical AI systems before deployment
• Build solutions using humanoid robots, quadrupeds, drones, and other next-generation platforms
• Improve manufacturing and logistics operations using digital twins
• Reduce risk while accelerating automation and decision-making

This Lab is the first EY facility dedicated solely to physical AI and marks a major milestone in the company’s global AI expansion.

 Building the Next Era of Intelligent Automation

This initiative expands on previous EY NVIDIA collaborations, such as the agentic AI platform introduced earlier this year, and will continue to grow across sectors, including energy, healthcare, and smart cities. EY also aims to advance sustainable automation by reducing waste and improving operational efficiency.

As organizations worldwide prepare for the next wave of robotics and automation, EY’s new platform provides a clear path from experimentation to enterprise-scale adoption.