I’ve been trying Copilot Tasks this week, and it’s awesome to assign tasks (even recurring) in this cowork mode and have them completed end to end autonomously and use Agent mode to refine and iterate on the outputs. Here’s an example ... Create a spreadsheet, analyze the data in Excel, and then schedule tasks based on the output. And there’s a lot more. If you want to try it, sign up here. https://lnkd.in/gti4bFbs
Moving from simple prompts to autonomous task execution (create → analyze → schedule) fundamentally changes how work gets done. The real value isn’t just automation, it’s closing the loop end-to-end. Curious to see how this evolves for more complex, cross-functional workflows
Dear Satya, while I truly appreciate your AI efforts, I have to admit that the Microsoft support quality and efficiency has been going downhill in the past 2 or 3 years; particularly in the M365 space. Weeks, sometimes months, for issues to be solved. Bugs that take ages to be fixed, or sometimes actually spread to multiple systems without any acknowledgement, etc. Perhaps Microsoft should not forget about those fundamentals while building the future? Just my two cents 😉
The 'uncanny valley' of corporate content is real. If it feels like a script, it’s already failed. Burger King nailed the human element here. Great breakdown, Ash!
The real power isn’t just task completion. It’s iteration in Agent mode. Continuous refinement inside the same workflow reduces decision fatigue significantly.
"Autonomous execution is a major leap, Satya Nadella But as tasks move from human hands to 'Agent mode,' the need for Logic Sovereignty becomes paramount. ⚖️🛡️ My Sovereignty Protocols emphasize that while we automate 'end-to-end', we must retain full ownership of the decision-making logic. The more 'autonomous' the system, the more 'sovereign' the institutional DNA must be to ensure the output truly reflects the organization’s unique judgment and values. 🚀✨"
Old workflow: • Collect data • Analyze it manually • Decide what to do next • Assign tasks to people Agent-enabled workflow: • Data gets analyzed automatically • Insights generated instantly • Tasks created and scheduled The work isn’t just assisted. It’s completed.
Autonomous, iterative, and cowork-ready Copilot Tasks just raised the bar for AI productivity.
The shift isn’t automation, it’s delegation to software. When tools like Microsoft Copilot move from suggesting text to executing multi-step workflows across apps, they start behaving less like assistants and more like operators. Creating a sheet, analyzing it in Excel, then triggering follow-up actions without manual switching compresses context loss. If this matures, “agent mode” won’t just save time. It will redefine how individual productivity scales Satya Nadella
This is cool. And, what’s interesting to consider here outside of the execution productivity boost are the implications on leadership workflows... Because, if AI can coordinate execution workflows end-to-end, the bottleneck becomes strategic decisioning velocity and clarity. In the end, the organizations that benefit most won’t be the ones with the best prompts. They’ll be the ones with the clearest and best leveraged operating models.
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