Stock Markets July 7, 2026 12:26 PM

Microsoft Shares Tick Up as Company Moves AI Workloads Onto Internal Models

New MAI models now operating inside Excel and Outlook as firm seeks to reduce AI infrastructure costs

By Marcus Reed
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Microsoft shares rose 1.75% on Tuesday, outpacing a weak Nasdaq after reports that the company has begun replacing third-party AI models with its own MAI technology inside core Office apps. The internal models are reported to be processing tens of thousands of prompts weekly across Excel and Outlook, a shift the company hopes will cut steep AI infrastructure expenses while maintaining its productivity suite.

Microsoft Shares Tick Up as Company Moves AI Workloads Onto Internal Models
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Key Points

  • Microsoft shares rose 1.75% on Tuesday, outperforming a weak Nasdaq after reports of an internal AI transition.
  • The company has reportedly embedded its MAI models into Excel and Outlook, handling tens of thousands of prompts per week across those apps.
  • The move is being positioned as a way to sharply reduce the high infrastructure costs tied to providing large-scale AI services while maintaining its core productivity suite.

Microsoft shares climbed 1.75% on Tuesday, marking an outperformance versus a broadly sluggish Nasdaq, after reports emerged that the company is shifting away from expensive third-party AI models in favor of internally developed systems.

Those reports indicate Microsoft has quietly introduced its MAI models into key Office applications, placing them inside Excel and Outlook to handle AI-driven tasks. An anonymous source familiar with the matter told reporters the behind-the-scenes change is already managing tens of thousands of AI prompts each week across the spreadsheet and email environments.

Until this deployment, Microsoft’s flagship productivity tools largely relied on external AI providers such as OpenAI and Anthropic. The recent internal rollout is notable because it is the first time the scale of Microsoft’s proprietary MAI integration into its workplace apps has been described publicly.

The tactical move reflects an emphasis on lowering the substantial infrastructure costs associated with operating artificial intelligence, while seeking to keep the company’s core software suite operating at full capacity. The company’s aim, as described in the reports, is to aggressively reduce the cost burden of AI infrastructure without degrading the functionality of its productivity applications.

Details in the reporting are limited to the scope described above: the presence of MAI models inside Excel and Outlook, the current volume of prompts being handled measured in the tens of thousands per week, and the broader strategic goal of cutting infrastructure expenses. The accounts do not provide additional figures on cost savings, timelines for wider rollout, or how existing arrangements with external providers will be adjusted.


Context and implications

The reported change documents a material operational adjustment in how Microsoft runs AI features within its core productivity apps. By routing a substantial number of prompts to in-house models, the company appears to be prioritizing control over key AI workloads and attempting to reduce the heavy infrastructure spending that accompanies large-scale AI services.

While the immediate market reaction was positive for Microsoft’s stock, the reporting stops short of detailing the full breadth of the transition or any contractual or technical ramifications with prior third-party suppliers.

Risks

  • The reports do not disclose the extent to which Microsoft’s in-house MAI rollout will fully replace third-party models, leaving uncertainty about the transition’s ultimate scope - this affects enterprise software and cloud services.
  • No concrete figures on cost savings or timelines were provided, so the expected reduction in AI infrastructure expenses remains unquantified and uncertain - this impacts cloud infrastructure and data-center economics.
  • Details on how existing relationships with outside AI providers will change were not provided, creating uncertainty for partners and suppliers in the AI services ecosystem - this concerns the broader technology vendor and services sectors.

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