微软推出自主研发的MAI模型,以取代OpenAI和Anthropic在Excel和Outlook中的应用

Microsoft has begun integrating its proprietary MAI series models into core Office applications like Excel and Outlook, phasing out reliance on external providers such as OpenAI and Anthropic. Internal sources indicate that tens of thousands of AI prompts are now handled by these models weekly. While still a small fraction of total usage, this shift signals significant progress in Microsoft’s ability to build competitive, cost-effective AI infrastructure.
Sharma noted, "We are saving a substantial amount annually, with the goal of reducing—and eventually eliminating—our reliance on external providers."
This strategy is driven by clear economic logic. Microsoft consumes vast quantities of AI tokens through tools like Copilot, currently benefiting from a discounted long-term partnership with OpenAI. However, as these preferential terms diminish, Mustafa Sharma’s team is accelerating in-house development to avoid future high costs from leading AI labs.
During this year’s Build Developer Conference in June, Microsoft unveiled seven new AI models. One reportedly matches the encoding capabilities of Anthropic’s Opus 4.6 but at a lower cost. Sharma openly stated, "We’ve spent heavily on Anthropic, so our objective is to cut these costs and ultimately remove them entirely." The MAI model has already demonstrated its cost-efficiency in specific use cases, from Excel data processing to Outlook email assistance.
From Office to Teams, in-house models are now fully integrated
The adoption of MAI extends beyond the Office suite. Sharma announced that Microsoft’s self-developed speech recognition model will be integrated into Teams’ video conferencing and other products within the next few months. Additionally, the MAI model powers GitHub Copilot, supporting frequent office tasks such as code assistance and meeting note-taking.
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Microsoft has begun integrating its proprietary MAI series models into core Office applications like Excel and Outlook, phasing out reliance on external providers such as OpenAI and Anthropic. Internal sources indicate that tens of thousands of AI prompts are now handled by these models weekly. While still a small fraction of total usage, this shift signals significant progress in Microsoft’s ability to build competitive, cost-effective AI infrastructure.
Sharma noted, "We are saving a substantial amount annually, with the goal of reducing—and eventually eliminating—our reliance on external providers."
This strategy is driven by clear economic logic. Microsoft consumes vast quantities of AI tokens through tools like Copilot, currently benefiting from a discounted long-term partnership with OpenAI. However, as these preferential terms diminish, Mustafa Sharma’s team is accelerating in-house development to avoid future high costs from leading AI labs.
During this year’s Build Developer Conference in June, Microsoft unveiled seven new AI models. One reportedly matches the encoding capabilities of Anthropic’s Opus 4.6 but at a lower cost. Sharma openly stated, "We’ve spent heavily on Anthropic, so our objective is to cut these costs and ultimately remove them entirely." The MAI model has already demonstrated its cost-efficiency in specific use cases, from Excel data processing to Outlook email assistance.
From Office to Teams, in-house models are now fully integrated
The adoption of MAI extends beyond the Office suite. Sharma announced that Microsoft’s self-developed speech recognition model will be integrated into Teams’ video conferencing and other products within the next few months. Additionally, the MAI model powers GitHub Copilot, supporting frequent office tasks such as code assistance and meeting note-taking.
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埃隆·马斯克、山姆·阿尔特曼和达里奥·阿莫迪,这三位科技领域的巨头,正推动其各自的企业迈向首次公开募股(IPO)。随着 SpaceX、OpenAI 和 Anthropic——这三家估值接近万亿美元的行业巨头——即将上市,2026 年被预测将成为美国历史上新股发行规模最大的一年。这一历史性的资本激增已引起全球金融界的关注,成为检验公共市场吸收如此大规模资金能力的关键压力测试。这些主要融资活动的同步启动预计将打破 2021 年创下的 1560 亿美元纪录。超级独角兽的资本博弈每家公司上市的路径
瑞典人工智能初创公司Lovable Eyes在完成主要融资轮后估值达132亿美元
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