Microsoft Unveils Copilot Tasks: The Shift From Conversational AI to Autonomous Actions

Automating the To-Do List

Microsoft launched Copilot Tasks on February 26, 2026, signaling a major move toward agentic AI. This feature allows the assistant to complete multi-step workflows in the background rather than just drafting text. Currently, the tool is available in a research preview for a small group of testers. The system operates using its own cloud-based virtual computer and browser to navigate the web and coordinate across apps. Users provide instructions in natural language, and the AI formulates a plan to execute those needs autonomously. This infrastructure ensures that tasks continue running even when the user's local device is powered off.

Benefits for Individuals and Professionals

For individual users, the tool automates routine logistics and personal chores. It can monitor flight status to coordinate rideshares or watch hotel rates to rebook automatically when prices drop. Students can also use it to convert a syllabus into a study plan with scheduled focus time and practice tests. Businesses can leverage the technology to handle repetitive administrative work and complex document creation. The assistant is capable of scanning inboxes to surface urgent emails with prepared drafts or turning attachments into polished slide decks. This automation helps professionals focus on strategy rather than manual data entry.

Safety and Availability

Microsoft has implemented a human-in-the-loop safety model to maintain user control. The AI is programmed to stop and ask for consent before performing meaningful actions like spending money or sending external messages. Users have the ability to review, modify, or cancel any task at any point during its execution. Access to the tool is currently restricted to those invited into the research testing program. Interested parties can sign up for the waitlist at the official preview site. Microsoft expects to expand the user base in the coming weeks as they refine the system based on early feedback.