Windows AI agents can now run entirely on your PC and not just in the cloud. Microsoft and Nvidia announced this shift in late May and early June 2026. Instead of typing commands or clicking icons, users will eventually ask their PC to complete tasks autonomously.
Nvidia CEO Jensen Huang described this change as the PC moving “from tool to teammate.” However, making autonomous agents work securely on personal devices requires a complete hardware and software overhaul.
Why Windows AI Agents Need a New Hardware Foundation
Traditional processors cannot handle always‑on agents efficiently. To address this, Microsoft and Nvidia designed a purpose‑built solution called RTX Spark. This Arm‑based superchip combines a 20‑core Nvidia Grace CPU with a Blackwell RTX GPU featuring 6,144 CUDA cores.
In addition, the chip delivers up to 1 petaflop of AI performance and up to 128GB of unified memory. Consequently, RTX Spark can run 120‑billion‑parameter language models locally. Systems from ASUS, Dell, HP, Lenovo, Microsoft Surface and MSI will arrive this fall.
Inside RTX Spark: Nvidia’s 1‑Petaflop Personal AI Computer
RTX Spark transforms thin Windows laptops into powerful agent machines. The unified memory architecture gives the GPU direct access to massive AI workloads.
For example, the chip can render 90GB 3D scenes, edit 12K video, and play AAA games at over 100 frames per second. Adobe is also rearchitecting Photoshop and Premiere for RTX Spark, delivering 2x faster AI and graphics performance.
Meanwhile, Nvidia introduced DGX Station for Windows, a deskside supercomputer for enterprise agents. That system runs frontier models of up to 1 trillion parameters locally.
MXC and OpenShell: The Security Backbone for On‑Device Agents
However, autonomous agents cannot roam freely on a user’s PC. Therefore, Microsoft built MXC (Microsoft eXecution Containers), a kernel‑level sandbox that isolates agent activity. MXC prevents agents from accessing sensitive system files or user data without permission.
In addition, Nvidia complements this with OpenShell, a secure runtime that integrates MXC. OpenShell provides policy management, inference routing, and personal information concealment.
Together, MXC and OpenShell ensure that always‑on agents remain under full user control. With hardware and security controls in place, redefining how Windows orchestrates agents was next.
From Copilot+ to Local Agents: Microsoft’s Build 2026 Pivot
At Microsoft Build 2026, the company moved away from the Copilot+ PC brand. Instead, Microsoft positioned Windows as a runtime for local agents across all hardware. New Windows AI APIs expose CPU, GPU, and NPU capabilities to developers with fine‑grained control.
Furthermore, Microsoft also unveiled “Scout”, an always‑on “Autopilot” agent embedded in Teams, Outlook, and the desktop. “Scout” can juggle calendars, draft replies, and perform tasks while the user sleeps.
Build 2026 also introduced Windows Development Skills. This lets agents build native Windows apps using structured knowledge.
The Road Ahead: Windows as the Operating System for AI Agents
Microsoft and Nvidia now see Windows as the central system for hybrid AI. Cloud agents delegate sub‑tasks to smaller, specialized models running directly on the user’s machine.
In addition, Windows 11 orchestrates memory, power, and thermal constraints across all three processor types.
Nvidia CEO Jensen Huang appeared at the Build keynote via livestream to discuss this future. “The idea that the PC evolved from a personal computer to a personal AI is really exciting,” he said.
Ultimately, as AI systems continue to expand, Windows may become less about launching apps and more about making your PCs complete tasks.
