Software

Microsoft's Copilot Gains Local File Access, OS Control

October 7, 2026•Source: The Verge
Microsoft's Copilot Gains Local File Access, OS Control
Photo by Rubaitul Azad / Unsplash
Eda Kaplan

Eda Kaplan

Senior Technology Editor

Microsoft is enhancing its Copilot AI with the ability to access local files on your PC and control operating system functions. This 'Hybrid Intelligence' approach aims to blend local and cloud AI for more efficient task completion.

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At its recent Windows and Surface event, Microsoft unveiled a significant upgrade for its Copilot AI system. This new iteration will grant Copilot access to local files stored on your PC and empower it to perform actions directly within the operating system. This development is a cornerstone of Microsoft's broader vision, termed 'Hybrid Intelligence,' which focuses on creating applications and tools that leverage a combination of local and cloud-based AI models to achieve tasks with greater efficiency.

To illustrate the practical applications of Hybrid Intelligence, Jacob Andreou, Microsoft's EVP of Copilot, showcased a video demonstration. In the demo, Andreou tasked Microsoft's Autopilot tool, an extension of Copilot, with assisting in tax filing. He explained that he had received an email from his accountant and instructed Autopilot to retrieve relevant information for her.

The implications of this upgrade are substantial. By integrating local file access and OS control, Copilot is poised to become a more deeply embedded and powerful assistant. This move signifies a shift towards AI agents that don't just process information from the cloud but can actively interact with and manage the user's personal computing environment. This could streamline workflows, automate complex tasks, and offer a more personalized AI experience, moving beyond simple search queries to proactive assistance.

This enhanced capability hints at a future where AI assistants are not just tools for information retrieval but integral components of our digital lives, capable of managing our data and interacting with our software in ways previously unimagined. The 'Hybrid Intelligence' model suggests a smart distribution of tasks between local processing power and cloud-based AI, optimizing for speed, privacy, and capability.

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