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    Tuesday, March 31
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    Home»Big Tech & AI»Microsoft Taps OpenAI and Anthropic’s Claude To Power Next Phase of Copilot AI

    Microsoft Taps OpenAI and Anthropic’s Claude To Power Next Phase of Copilot AI

    By Henry KanapiMarch 31, 20262 Mins Read
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    Microsoft is pushing to make AI inside the workplace a multi-model future, where no single system dominates the stack.

    In a new product update, the tech giant’s chief marketing officer, Jared Spataro, says the Microsoft 365 Copilot platform will integrate models from multiple AI providers, including OpenAI and Anthropic, as part of its next phase of development.

    Spataro says Microsoft is committed to giving users a “multi-model advantage,” combining different AI systems inside a single workflow environment.

    Copilot is being positioned as a system that embeds AI directly into everyday work tools, allowing users to move from simple prompts to multi-step task execution within existing apps.

    Spataro says Copilot Cowork is designed to act as a task executor rather than just a responder.

    “Describe the outcome you want, and Copilot Cowork creates a plan, reasons across your tools and files and carries work forward with visible progress and opportunities to steer.”

    The Microsoft executive says the system can handle both one-off tasks and recurring workflows, including functions like calendar management and budget reviews.

    Spataro adds that the company is expanding its Researcher tool to handle more complex analysis using multiple models.

    “Researcher’s new Critique feature takes this even further, using a combination of models from Frontier labs, including Anthropic and OpenAI, to separate generation from evaluation.”

    Another addition, called Council, allows users to compare outputs from different AI systems side by side, giving users the ability to see multiple arguments from different models.

    “It’s like having multiple researchers at your fingertips.”

    The updates reflect a broader industry shift toward orchestration, where value comes from coordinating multiple models rather than relying on a single system. The approach positions Microsoft to act as the interface layer, aggregating intelligence from across the AI ecosystem while embedding it directly into enterprise workflows.

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