1 link tagged with all of: delegation + copilot + microsoft + ai infrastructure + persistent agents
Click any tag below to further narrow down your results
Links
Microsoft's recent Copilot announcements represent a shift from AI as answer-box to AI as persistent worker—the real competitive advantage lies not in the model itself but in the "harness" (interface, memory, tools, permissions, execution environment) that lets businesses actually deploy and manage AI agents as ongoing coworkers. The author argues Microsoft is better positioned than labs focused purely on model capability to win this infrastructure battle.
- The competition has moved from "can AI answer questions?" to "can we delegate real work to an AI agent and have it keep working across days?" This requires persistent context, cloud execution, and integration with business systems—not just better models.
- Microsoft's September 2025 announcements bundle Copilot Home, Code, and Autopilot with model choice flexibility, meaning enterprises aren't locked into whichever AI lab is currently ahead. This flexibility is the actual moat.
- The article maps five generations of AI interfaces (answer box → custom knowledge → tool-using assistant → coworker → persistent agent), and argues we're now at the point where the system architecture around the model matters more than incremental model improvements for real work deployment.