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TechCrunch reported on 2026-08-13 that Microsoft is merging two Copilot experiences. The consumer Copilot app will be combined with the Microsoft 365 Copilot app. Microsoft says the goal is a simpler and more cohesive experience.
At the same time, Microsoft is removing several features. These include Group Chats, AI-generated podcasts in Copilot, Copilot Labs experimental features, and Deep Research for consumers. The reported removal date is 2026-08-18.
This update suggests that Microsoft is narrowing the product surface. That can make the app easier to understand. It can also mean that some familiar tools disappear without much notice.
For users, the main issue is continuity. A feature that exists in one version may not remain available in another. Teams that rely on specific Copilot functions should check what is still included in their current tier.
Product consolidation often aims to reduce confusion. It can also help a company present one clearer experience. In this case, Microsoft is explicitly framing the change around simplicity and cohesion.
The practical effect is more important than the wording. When AI products change quickly, workflows can shift with them. That makes feature tracking part of normal operational planning.
Organizations should review which Copilot features they actually use. If a feature is being removed, the impact may be small or significant depending on the workflow. The source does not provide migration guidance, so any response should be based on internal needs.
It is also wise to separate consumer and business expectations. The report shows that feature availability can differ across tiers. That means a tool available in one setting may not be available in another.
The source reports no Morocco-specific facts. The conditional lesson is simple: any organization using Microsoft 365 should monitor AI feature changes closely, because availability can shift across product tiers.
Microsoft is simplifying Copilot by merging apps and removing several underused features. The change is a reminder that AI products can evolve quickly. Users and organizations should keep an eye on what is included, what is removed, and when those changes take effect.
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