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Physical AI: safer, smarter, more resilient operations
Use data, simulation and governance to create physical autonomy that improves safety, uptime and resilience.
What is Physical AI?
Physical operations are under pressure from safety standards, labor shortages and rising expectations for resilience. Physical AI brings intelligence into the real world – connecting data, models and machines so systems can monitor conditions, make decisions and act in real time. Instead of isolated automation, organizations can build adaptive environments where safety, efficiency and uptime are continuously optimized. Physical AI is underpinned by:
AI‑ready data
Digital twins
Strong governance
In a physical AI environment, you can test ideas virtually, orchestrate complex processes with confidence and open new pathways for growth. EY teams can help you turn this vision into measurable impact to help reduce risk, accelerate innovation and build resilient operations that scale with confidence.
This circular graphic outlines four key considerations to make physical AI real, including:
Amplify human potential
Build the intelligent core
Unlock transformational value
Embed confidence and control
How EY can help
EY teams help organizations turn the vision of physical AI into measurable impact. Through strategy, simulation and governance, EY guides clients beyond point solutions to build trusted, scalable ecosystems that reduce risk, speed innovation and support safer, more resilient operations.
Physical AI strategy and roadmap
Define your physical AI vision, assess readiness across operations, and design the data, digital twin and governance foundations required to scale responsibly.
Simulation and digital twin prototyping
Use NVIDIA-powered simulations, EY.ai Labs and digital twins to explore opportunities, prototype safely, generate synthetic data and validate new concepts before real world deployment.
Scaling, governance and attestation
Embed responsible physical AI frameworks, independent attestation and new workforce roles to scale autonomous systems safely across operations with strong compliance and governance guardrails.
EY.ai Labs around the world
Equipped with state-of-the-art robotics, sensors and simulation tools, the EY.ai Labs offers hands‑on, immersive, personalized experiences that help you quickly build confidence with robotics and simulation. Explore use cases, validate feasibility and improve learning in a safe, structured environment. This low‑risk environment helps you make smarter investment decisions and accelerate physical AI adoption.
Tap into our global network of innovation sites exploring physical AI:
The EY flagship physical AI lab features advanced robotics and sensing technologies. The lab is expanding to include AI-ready data, simulation environments, and solution validation for real-world deployments.
The EY Greece Robotics Lab fuses robotic systems with agentic AI, computer vision and simulation, to accelerate real-world physical AI applications for industrial and enterprise use cases.
The EY.ai Center for Reimagination is an EY GDS innovation hub using robotics and digital twins to help clients move from experimentation to real-world transformation.
The EY Digital Operations Hub at MxD, using custom experiences for advanced manufacturing, demonstrates physical AI, digital twins and smart factory innovations.
The EY Nottingham Spirk Lab provides an immersive experience for product innovation and applied physical AI design, from concept to real‑world deployment.
The EY European industrials AI Innovation Hub uses the EY wavespace™ approach to provide dynamic experiences that incorporate advanced robotics, simulation and industrial AI solutions for complex automotive and manufacturing environments.
This EY wavespace location is a dynamic hub that brings leading-edge experiences to life, enabling visitors to explore the intersection of physical AI and cybersecurity.
Make your physical AI strategy the real competitive edge
Get in touch to visit the EY.ai Labs, a global network of distinctive, low-risk environments designed to help you explore how data, simulation and responsible AI governance can turn your Physical AI strategy into an advantage that outlasts any hardware choice.