Microsoft to merge Copilot apps and introduce new AutoPilot agents
Microsoft plans to merge consumer and enterprise Copilot apps into one in August, cut underused features, and add AI-powered AutoPilot agents.

Microsoft reportedly plans to merge its consumer and enterprise Copilot apps into a single app in August. Rarely used features like Copilot Podcasts are getting cut, and new AI agents called "AutoPilot" will handle tasks in the background for an extra fee. The move is part of Microsoft's effort to revamp its Copilot offerings and compete with other AI super app developers like Anthropic and OpenAI.
By consolidating its Copilot apps, Microsoft aims to streamline its services and improve user experience. The new AutoPilot agents will enable users to automate tasks in the background, for which they will be charged an additional fee. This feature is expected to enhance the overall functionality of the Copilot app and provide users with more advanced AI capabilities.
Microsoft's decision to overhaul its Copilot and introduce AutoPilot agents reflects the company's commitment to staying competitive in the rapidly evolving AI market. As the demand for AI-powered super apps continues to grow, Microsoft's updated offerings are likely to attract more users and drive business growth. Why this matters: Microsoft's move to merge its Copilot apps and introduce AutoPilot agents has significant implications for the AI industry.
The integration of AI-powered agents into productivity apps is becoming increasingly popular, and Microsoft's offerings will likely influence the development of similar services by other companies. For developers and businesses, this means a greater emphasis on creating seamless, AI-driven experiences that can automate tasks and enhance user productivity. For consumers, the updated Copilot app will provide access to more advanced AI capabilities, potentially changing the way they interact with digital services.
However, questions remain about the potential impact of AI-powered automation on job markets and the need for transparent guidelines on AI usage and data handling.
Source: The Decoder