Agentic AI Explained: How Agentic AI Changes Computing From Cloud to Edge
Arm, Monday, October 26th, 2026
Arm argues agentic AI is a system-level challenge requiring coordinated memory, software, and compute from cloud to edge devices.
This Arm Newsroom post argues agentic AI is a system-level challenge rather than a model-only one, since agents must coordinate memory, software, tools, and different compute types across multi-step tasks.
It describes the agentic loop of understanding intent, planning, acting, and reflecting.
Context and memory are key constraints, especially on smartphones where agents share limited memory, battery, and sensors, so the operating system must manage context, intent, and security while hardware runs specialized models within tight power limits.
The article concludes that end-to-end outcomes on a common compute platform and an open, multi-vendor ecosystem will determine how agentic AI scales.