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Microsoft merges Copilot apps, eliminates underperforming AI features

Microsoft is merging its consumer and business Copilot applications while discontinuing underperforming AI features, like AI-generated podcasts and Group Chats, to enhance user experience. This consoโ€ฆ

Microsoft kills off unsuccessful AI features while merging its separate Copilot apps
TechCrunch โ€” 13 August 2026
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Microsoft is streamlining its Copilot offerings by merging its consumer and business applications while discontinuing several underperforming AI features, including AI-generated podcasts, Group Chats, Deep Research, and the Mico character. This shift was announced recently as part of the company's ongoing efforts to enhance the user experience and focus on more impactful AI tools.

This move comes at a time when the tech industry is reevaluating the effectiveness of AI features in response to shifting consumer preferences and market demands. Microsoft launched Copilot to integrate AI assistance across its products, but not all features resonated with users. The company has observed that certain applications did not gain traction, prompting this consolidation. By focusing on the core functionalities that users find beneficial, Microsoft aims to create a more cohesive and powerful AI experience.

The decision to eliminate these features reflects broader trends in the tech landscape. Companies are increasingly prioritizing features that drive engagement and productivity. For instance, AI-generated podcasts and Group Chats were seen as innovative but ultimately did not meet user expectations. Microsoft hopes that by concentrating resources on the most popular aspects of Copilot, it can improve overall performance and user satisfaction.

Looking ahead, Microsoft plans to refine its Copilot offerings further. The company will likely focus on integrating AI more deeply into its core applications, such as Microsoft 365, to enhance productivity and collaboration. This strategic pivot is aimed at maintaining competitiveness in a rapidly evolving market, where effective AI tools can significantly influence user adoption and retention. The success of this initiative could have wide-ranging implications for how businesses harness AI technology in their daily operations.

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