Microsoft has outlined a new Windows strategy built around “hybrid intelligence,” combining local and cloud AI so each task can run where it is most suitable while remaining under user and IT control.
The strategy covers Windows 11, Copilot+ PCs, developer tools, and systems designed for local AI workloads.
Microsoft Execution Containers Are Now Generally Available
Microsoft has made Microsoft Execution Containers, or MXC, generally available on Windows 11.
MXC lets organizations control which files and networks an AI agent can access, with those rules enforced while the agent is running.
The system also works with Agent 365 and Intune, allowing IT teams to separate an agent’s identity and actions from those of the person using the device.
Codex, GitHub Copilot and OpenClaw already support MXC. Claude Code, Perplexity and Raycast are expected to add support later, while Meta’s Muse for Windows is also coming as a native application with MXC integration.
Larger AI Models Are Moving Onto PCs
Microsoft is also bringing larger models directly to Windows devices. MAI Code 1.1 Flash uses 3-bit precision to reduce its size by nearly 80%, while retaining a 256K local context window.
Windows ML is also adding llama.cpp support across GPU, NPU, and CPU hardware. Microsoft is further testing GitHub HydraFusion, which will route workloads between cloud and on-device models.
Experimental previews are expected later in October for the GitHub Copilot app, GitHub Copilot CLI and Visual Studio Code.
MAI-Code-1.1-Flash is going local with on-device model calls inside Github Copilot.
High-quality agentic coding on your device, with no inference charge for local model calls. https://t.co/52Cx9rcQSv pic.twitter.com/LoO1RbREAV
— Microsoft AI (@MicrosoftAI) October 7, 2026
Copilot Will Use Local Files and Recent Activity
With user permission, Copilot on Copilot+ PCs will use the hybrid AI layer to access local files and recent activity, perform actions in Windows and call models running directly on the device.
These capabilities are expected to begin rolling out over the coming months across Copilot Home, Code and Autopilot.
The hybrid approach allows Windows to use local models when privacy, latency, or cost makes on-device processing preferable, while more demanding workloads can still use cloud AI.
Windows Search Is Also Getting More Actions
Microsoft is expanding Windows Search so users can perform system actions directly from the taskbar.
Windows Insiders will be able to use Search to toggle settings, manage windows and send messages without manually opening the relevant apps or menus.
The broader strategy connects Windows, Copilot, GitHub and Nvidia hardware into one platform designed for local AI and secure agents across personal PCs and shared enterprise systems.
More Powerful Local AI Systems Are Coming
Microsoft’s hardware strategy spans everything from always-on mini PCs to RTX Spark builder systems and DGX Station for Windows machines.
DGX Station for Windows systems are expected later this year and are designed to support AI models with as many as 1 trillion parameters.
Microsoft is positioning this wider ecosystem as a way to move more AI processing onto local hardware while keeping cloud models available for tasks that need more computing power.
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