Microsoft Merges Consumer and Enterprise Copilot Apps Ahead of Planned Super App Launch
Key Takeaways
- •Microsoft is rolling out a unified Copilot experience across consumer and enterprise platforms to a limited set of users this week, with broader integration planned for the coming months.
- •The planned super app will combine chat, GitHub Copilot, Copilot Cowork, and an agentic workflow tool called Autopilot into a single multi-capability interface.
- •Starting Aug. 18, consumer Copilot will discontinue several features including Podcasts, Group Chat, and Deep Research, while the Microsoft 365 app will be rebranded as Microsoft Copilot.
- •Microsoft 365 Copilot has surpassed 30 million paid seats, a key metric investors are monitoring for enterprise AI revenue durability.
- •Microsoft's AI lab released its first reasoning model, MAI-Thinking-1, alongside a 25% more efficient coding model, indicating efforts to build proprietary models that reduce dependence on OpenAI.

Microsoft has started integrating its consumer and enterprise Copilot applications, kicking off a broader effort that will eventually produce a unified "super app" featuring chat, coding, and autonomous agent capabilities.
The company confirmed it is rolling out a unified experience across both platforms this week, initially to a small subset of users. Changes include updates to navigation, feature availability, and the sign-in process. A new color-coded indicator will help users distinguish whether they are logged into a business or personal account. The consolidation follows a pattern across the AI industry in which companies including Google, Meta, and Anthropic have been racing to unify fragmented assistant experiences into single, multi-capability interfaces.
Consumer Copilot users will experience the most significant changes. Starting Aug. 18, several features will be discontinued, including Copilot Podcasts, Group Chat, and Deep Research. Additionally, the Microsoft 365 app will be rebranded as the "Microsoft Copilot" app.
The integration marks the beginning of one of Microsoft's highest-priority initiatives. As Fortune first reported in May, the company is racing to launch a super app in the coming months that is expected to combine a chat interface, the GitHub Copilot coding assistant, the Copilot Cowork tool, and a new agentic workflow feature internally known as Autopilot. The inclusion of autonomous agent capabilities places Microsoft squarely within one of the most active competitive frontiers in AI, as companies across the sector invest heavily in systems that can carry out multi-step tasks with limited human oversight.
Microsoft is positioning the super app to better compete with industry leaders such as Anthropic and OpenAI while continuing to expand its enterprise Copilot business. In the company's most recent earnings report, Chief Executive Satya Nadella disclosed that Microsoft 365 Copilot had surpassed 30 million paid seats. That figure has become a closely watched metric for investors evaluating whether enterprise AI subscriptions can translate into durable revenue growth.
The super app initiative is being led by Jacob Andreou, a 33-year-old executive whose rapid ascent within Microsoft has been noted by Fortune. Nadella has entrusted Andreou with revitalizing the company's AI strategy after Microsoft fell behind key competitors.
Microsoft's Azure cloud division remains the company's primary growth engine, having surpassed $100 billion in annual revenue in its most recent quarter. AI-related demand has fueled much of that expansion, with a significant portion tied to OpenAI. Microsoft has been working to reduce its dependence on its longtime partner by redirecting computing resources toward enhancing Copilot. The company has invested approximately $13 billion in OpenAI to date, making the effort to build independent AI capabilities a notable strategic shift in one of the technology industry's most consequential partnerships.
This week, Microsoft's AI lab introduced its first reasoning model, MAI-Thinking-1, which the company said matches leading models on certain software engineering benchmarks. The lab also reported that its latest coding model is 25% more efficient than its predecessor. The launches signal Microsoft's intent to develop proprietary models that could eventually reduce reliance on OpenAI's GPT family across its products.
Nadella has joined a number of tech industry CEOs in publicly advocating for open-weight AI models. Critics argue such models are more susceptible to attacks, while supporters contend they are essential for leveling the competitive landscape and countering Chinese open-source alternatives.
"You can't depend on any one model," Nadella said during Microsoft's July earnings call. "You will maybe need multiple models to even remediate some challenges that get caused by one model."