EY Makes Strategic Bet on Physical AI With New Platform, Lab, and Global Lead
- EY introduces a comprehensive strategy for physical AI, combining platform, talent, and infrastructure investments.
- The effort is built on NVIDIA’s software stack and anchored by a new dedicated lab in Georgia.
EY is making a coordinated push into physical AI with a new platform, dedicated lab, and senior leadership role focused on bringing AI into physical environments. The effort spans the full development cycle, from strategy and simulation to deployment and maintenance, and targets sectors including energy, health, industrials, and consumer. EY frames the initiative as a way to help clients move from experimentation to large-scale adoption while maintaining trust, safety, and compliance.
The physical AI platform is built on NVIDIA Omniverse, Isaac, and AI Enterprise software, enabling clients to model digital twins, simulate robots in realistic environments, and execute high-performance AI workloads. The platform focuses on generating synthetic data, simulating and training robotics through digital twins, and embedding safeguards to support safety, ethics, and compliance. EY says it provides a structured approach to bridging digital and physical systems.
To support hands-on development, EY has opened the EY.ai Lab in Alpharetta, Georgia, the first in a planned global network by EY dedicated to physical AI. The lab offers simulation environments, robotics hardware, and R&D tools for rapid prototyping. Dr. Youngjun Choi, former head of UPS Robotics AI Lab, has been appointed EY Global Robotics and Physical AI Leader to guide the strategy and expansion of these efforts.
🌀 Tom’s Take:
EY is clearly signaling that physical AI is becoming a strategic priority for its clients, and it’s backing that up with real investment in talent, infrastructure, and deployment tools.
Source: PR Newswire / EY
