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Microsoft announced the merger of consumer-level and enterprise-level Copilot, and cut off many AI derivative functions. On August 13, Microsoft announced major adjustments to its artificial intelligence product roadmap, officially merging the consumer-oriented Copilot application and enterprise-level Microsoft 365 Copilot, and shutting down a number of AI functions that did not meet expectations.
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Source: Telegram AI频道
Microsoft announced the merger of consumer-level and enterprise-level Copilot, and cut off a number of AI derivative functions. On August 13, Microsoft announced major adjustments to its artificial intelligence product roadmap, officially merging the consumer-oriented Copilot application with the enterprise-level Microsoft 365 Copilot, and shutting down a number of AI functions that did not meet expectations to create a more focused and smooth user experience. According to Microsoft support documents and GeekWire reports, starting from August 18, 2026, group chats, AI-generated podcasts, Copilot Labs experimental features, and deep research (Deep Research) will no longer be available on the consumer side; paid professional users can obtain alternative experiences through Researcher. In addition, the product image has also been updated simultaneously. The original cartoon animation image has been replaced by a floating ball named Mico, and historical files in independent applications will be migrated to OneDrive. This strategic adjustment marks Microsoft's revision of its previous overly complicated "dual-line parallel" product strategy, and it admits that there is a large overlap in personal and work AI scenarios. Previously, "The Information" disclosed that Jacob Andreou, Microsoft's vice president in charge of Copilot, once issued a document stating that applications need to win the "right to exist" by discarding invalid functions. This contraction also echoes the current trend of overall streamlining and integration in the AI industry, such as Claude integrating Cowork, OpenAI integrating Operator into ChatGPT, etc. As the competition for large-model applications shifts from "function stacking" to "high-frequency rigid demand", technology giants are re-building the core competitive barriers of generative AI products through resource focus and experience integration. via AI News (author: AI Base)