Windows and Surface Move from Microsoft: The Era of Autonomous Artificial Intelligence Begins

Autonomous artificial intelligence features, hybrid processing power and a renewed fast search experience were introduced at Microsoft's Windows and Surface event.

Microsoft made critical announcements about the future of the operating system and hardware ecosystem at its last Windows and Surface event in San Francisco. The focus of the event, attended by Company CEO Satya Nadella, Windows and Devices President Pavan Davuluri and NVIDIA CEO Jensen Huang, was the autonomous (agentic) artificial intelligence integration and hybrid computing architecture that runs directly on the device.

Autonomous AI for Windows 11: Direct Action on Files

Taking into account user feedback following previous Copilot+ PC launches, Microsoft aims to make Windows a safer platform for artificial intelligence agents. Thanks to the introduced hybrid artificial intelligence approach, models work simultaneously both directly on local hardware and, when necessary, by drawing power from the cloud infrastructure, in line with the user's privacy permissions.

Within the scope of the new capabilities, Copilot can take direct action on local files by obtaining the user's approval, and can produce small widgets and mini applications tailored to the need without coding. This move aims to transform personal computers into autonomous assistants that complete tasks in the background, rather than just being command-receiving devices.

Quick Actions for the Taskbar and Windows Search

Starting this fall, Windows users get an expanded search experience similar to Spotlight on Mac. Thousands of quick actions can be triggered directly from the search section on the taskbar. Users can perform system controls such as turning on dark mode, taking a screenshot, adjusting the volume and sending SMS directly from the search bar without getting lost in menus.

Hybrid Processing Power and Strategy on the Hardware Side

At the event, where NVIDIA collaboration was also highlighted, the role of local NPU and GPU units in carrying hybrid artificial intelligence loads was detailed. Microsoft is building a balanced ecosystem that leverages cloud computing power in complex modeling processes while offering security and speed benefits by keeping user data directly on local hardware.