Uploaded August 2026 | Updated September 2026, 2 weeks ago
John Kourentis, Director of Market Development for Physical AI at Arm, discusses how physical AI is moving from digital environments and demonstration platforms into real-world deployment.
He examines the opportunities emerging across transportation, warehousing, logistics, healthcare and hospitality, and the computing requirements involved in deploying robots at scale. These include combining real-time performance with efficient AI processing, enabling cloud-to-edge software development and using a common architecture across sensors, microcontrollers, onboard compute and cloud infrastructure.
John also explains why power efficiency matters for robots running complex AI workloads within limited battery and thermal constraints. As robotics capabilities advance, these system-level considerations will play an increasingly important role in how physical AI is developed and deployed across industry.
Learn more: newsroom.arm.com/blog/agibot-physical-ai-robotics-arm
John Kourentis, Director of Market Development for Physical AI at Arm, discusses how physical AI is moving from digital environments and demonstration platforms into real-world deployment.
He examines the opportunities emerging across transportation, warehousing, logistics, healthcare and hospitality, and the computing requirements involved in deploying robots at scale. These include combining real-time performance with efficient AI processing, enabling cloud-to-edge software development and using a common architecture across sensors, microcontrollers, onboard compute and cloud infrastructure.
John also explains why power efficiency matters for robots running complex AI workloads within limited battery and thermal constraints. As robotics capabilities advance, these system-level considerations will play an increasingly important role in how physical AI is developed and deployed across industry.
Learn more: newsroom.arm.com/blog/agibot-physical-ai-robotics-arm
