Arm brings the ecosystem together to build and define the next phase of physical AI

Arm Newsroom News News September 8, 2026 Arm brings the ecosystem together to build and define the next phase of physical AI By Drew Henry , Executive Vice President, Physical AI, Arm Share News highlights Arm Total Design expands to physical AI, bringing together expertise across the technology stack to reduce integration complexity and accelerate autonomous system development A Robotics Capability Framework is one of the ecosystem’s first initiatives, providing a starting point for a common language to define and advance robotic systems More than 80 companies across the physical AI ecosystem are joining Arm Total Design for Physical AI As agentic AI expands what intelligent systems can do, physical AI is bringing that intelligence into the industries that mine materials our world depends on, grow the food that sustains it, manufacture products and move people and goods around the globe. These industries represent trillions of dollars in global economic activity and a $200B annual compute opportunity in the 2030s¹, yet they remain among the hardest industries to transform. Unlocking that opportunity means enabling intelligent machines to sense , reason and act by bringing together AI models, software, compute, sensors and actuators into complete systems that can be trusted and deployed at scale. No single company can solve this alone. We need greater collaboration across an increasingly complex ecosystem, with common foundations that reduce fragmentation while giving innovators flexibility to differentiate. Today, we’re taking steps to advance both. We announced Arm Total Design for Physical AI , bringing together more than 80 companies spanning the physical AI technology stack, including AWS, ECARX, Hugging Face, Liquid AI, NXP, PlusAI, PSYONIC, QNX, Qwen, Siemens, Unitree Robotics, and others , to accelerate physical AI development. And as one of the ecosystem’s first collaborative initiatives, we’re introducing a Robotics Capability Framework as a starting point for a common language to define and advance robotic capabilities. Extending Arm Total Design to accelerate innovation across the physical AI stack Autonomous vehicles and robotics are tackling many of the same challenges across perception, AI, real-time control, safety and efficient computing. OEMs and partners need to reduce integration risk, optimize workloads and move from proof of concept to deployment faster. As we’ve seen with Arm Total Design for Cloud AI , bringing partners across the technology stack together through a highly collaborative model can help solve these challenges. Arm Total Design for Physical AI brings together expertise including software stacks, AI models, sensors, compute hardware, virtual platforms and digital twins to enable earlier development and validation of solutions. We’re already seeing the impact of this collaborative approach in automotive, where Arm, AWS, Google, HERE, RemotiveLabs and Siemens collaborated on an integrated digital cockpit reference solution, enabling developers to develop, test, and validate complex automotive software on Arm Zena CSS before silicon is available. Inviting the robotics ecosystem to shape a common language As outlined in a new manifesto from our chief architect Richard Grisenthwaite, robotics is advancing rapidly, but the industry still lacks a common way to describe, compare and communicate the capabilities of increasingly intelligent machines. This fragmentation makes robotic systems harder to design, integrate, and scale. As SAE Levels created a shared vocabulary for driving automation, robotics needs a common language of its own – and Arm is uniquely placed to convene the industry to tackle this challenge. A Robotics Capability Framework will define levels of increasing sophistication for robotic systems that connect real-world use cases with the behavior, outputs and system requirements of a robot including latency, compute placement, memory and power constraints, determinism and safety. Its initial structure was informed by perspectives and feedback from across the robotics ecosystem, and we’ll continue to shape the framework alongside companies like Anaxi Labs, ANYbotics, FMC³ Robotics, Fourier, GALBOT, Gravis Robotics, Lenovo, McKinsey, Robotec.ai and others . We invite the broader industry to contribute its expertise and help shape how the framework develops from here. A Robotics Capability Framework maps stages of autonomy, from reactive systems to context-aware, cognitive and self-improving robots. Scaling physical AI requires an ecosystem approach As AI becomes increasingly agentic, the next frontier is bringing that intelligence into the physical world. This will be one of the largest compute opportunities of our time and realizing it will take more than breakthrough technology. It requires a common foundation that allows the ecosystem to innovate, differentiate and scale. Arm is bringing that ecosystem together to help shape what comes next and accelerate the path from technology breakthroughs to deployment at scale, unlocking the next major wave of AI-driven economic growth. Learn more about Arm Total Design for Physical AI and how to get involved with a Robotics Capability Framework . ¹Based on Arm estimates By Drew Henry , Executive Vice President, Physical AI, Arm Share Article Text Copy Text Article Images Download Images Any re-use permitted for informational and non-commercial or personal use only. Media Contacts Chelsea Morales Director Public Relations Chelsea.Morales@arm.com +1 512 298 8188 Sign Up for Media & Analyst News Get the latest media & analyst news direct from Arm Subscribe Related Blog Aug 26, 2026 Building the systems behind the next generation of intelligent robots Arm Editorial Team Blog Apr 15, 2026 The evolution of physical AI: From controlled environments to the real world Arm Editorial Team Blog Mar 10, 2026 What is physical AI and how it is defining the next platform shift? Arm Editorial Team News Sep 08, 2026 The agentic era needs a computing platform everywhere – Arm is building it Media Information Company Overview & History Arm is defining the future of computing Learn More → Arm Corporate Guidelines Information on how to use the Arm corporate logo Learn More → Media Contacts Get the latest Media contact information Learn More → Latest on X ; Arm @Arm · 9h 2097017829857919241 AI is no longer just generating content. It’s completing tasks. Across cloud, edge and physical systems, intelligence is becoming more capable — and compute has to keep up. Arm is building the platform for that era. We'll share more from our Arm Everywhere China keynote, Twitter feed image. Reply on Twitter 2097017829857919241 Retweet on Twitter 2097017829857919241 0 Like on Twitter 2097017829857919241 21 Twitter 2097017829857919241 ; Arm @Arm · 5 Sep 2096168992972964339 Agentic AI is reshaping compute everywhere. Across cloud, edge and physical AI, systems can increasingly perceive, reason and act — creating new demands for performance and efficiency at every layer. See how Arm is meeting them. Discover more from Arm Everywhere China, Twitter feed image. Reply on Twitter 2096168992972964339 Retweet on Twitter 2096168992972964339 1 Like on Twitter 2096168992972964339 36 Twitter 2096168992972964339 ; Arm @Arm · 4 Sep 2095907776589443500 Agentic AI is changing what the data center needs from the CPU. At SEMICON Taiwan, CK Tseng shared how Arm is helping the ecosystem scale AI infrastructure through more efficient CPUs, custom silicon, chiplets and tighter system integration. Twitter feed image. Twitter feed image. Twitter feed image. Reply on Twitter 2095907776589443500 Retweet on Twitter 2095907776589443500 4 Like on Twitter 2095907776589443500 48 Twitter 2095907776589443500 ; Arm @Arm · 4 Sep 2095836331318366251 As AI runs on-device, mobile platforms need to balance greater performance with efficiency. Arm’s focus on performance per watt helps our partners deliver more capable mobile AI experiences, with mobile at the heart of a much bigger story across the edge. Stay tuned for what’s Twitter feed video. Reply on Twitter 2095836331318366251 Retweet on Twitter 2095836331318366251 6 Like on Twitter 2095836331318366251 53 Twitter 2095836331318366251 ; Arm @Arm · 3 Sep 2095613827270205525 AI is changing how silicon gets designed. On @NoPriorsPod, Rene Haas joins @Saranormous and @EladGil to discuss how AI could accelerate chip development, Arm’s evolution from IP to silicon, and why CPUs remain at the heart of computing as AI scales. Listen Reply on Twitter 2095613827270205525 Retweet on Twitter 2095613827270205525 3 Like on Twitter 2095613827270205525 25 Twitter 2095613827270205525 ; Arm @Arm · 3 Sep 2095605985398104109 Developers should have the freedom to use the models that best fit what they’re building. Arm provides the compute foundation behind that flexibility. We’re proud to support the @NVIDIA and @HuggingFace partnership and the innovation it will unlock across the AI ecosystem. Reply on Twitter 2095605985398104109 Retweet on Twitter 2095605985398104109 8 Like on Twitter 2095605985398104109 70 Twitter 2095605985398104109 ; Arm @Arm · 3 Sep 2095557972122337787 Last week at World Robotics Conference, Federico Pecora shared how the next phase of robotics is becoming an increasingly complex systems challenge. At Arm, we’re exploring the compute foundation needed to bring sensing, AI, planning, control and safety together reliably as Twitter feed image. Twitter feed image. Reply on Twitter 2095557972122337787 Retweet on Twitter 2095557972122337787 2 Like on Twitter 2095557972122337787 37 Twitter 2095557972122337787