Wednesday, July 8, 2026
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Microsoft reportedly shifting to in-house AI models to cut costs

2 min read Editorial

Microsoft is reportedly changing how it handles artificial intelligence internally, moving away from relying on external partners like OpenAI and Anthropic. According to reports from Thurrott, the tech giant is transitioning these specific workloads to its own in-house AI models.

The push for cost efficiency

The primary driver behind this shift appears to be financial. Running large-scale AI operations through third-party providers can become expensive quickly, especially as usage scales across a global enterprise. By bringing these processes in-house, Microsoft aims to reduce the overhead associated with licensing or API calls to external services.

Close-up of a server rack with blinking LED lights in a modern data center. Cool blue tones emphasize technology and inf
Internal infrastructure changes aim to optimize costs while maintaining the performance of AI-driven features for Windows users.

This move does not necessarily mean an end to partnerships. Microsoft remains deeply invested in OpenAI, having made significant financial commitments to the company. However, for internal tools and specific backend tasks, utilizing proprietary models offers greater control over budgeting and resource allocation.

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What this means for you

For everyday Windows users, this change is likely to happen behind the scenes. You may not notice an immediate difference in features like Copilot or other AI-integrated tools available on Windows 11. The core functionality will remain largely the same, as Microsoft can swap underlying models without altering the user interface.

If anything, this shift could lead to more optimized performance for internal Microsoft services. By reducing dependency on external APIs for routine tasks, the company might streamline how AI features are delivered across its ecosystem, potentially improving response times or stability in the long run.

This strategy aligns with a broader trend among major tech companies seeking to balance innovation with profitability. While external collaborations drive rapid advancement, maintaining proprietary infrastructure ensures long-term sustainability. As AI becomes more integrated into operating systems and productivity suites, managing these costs effectively will be crucial for Microsoft’s future roadmap.

Source: Thurrott

Over to you: Do you think Microsoft should prioritize cost savings over external partnerships for its AI tools?

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Windows & Microsoft news editor at 9to5Windows. Covering everything from Windows 11 builds to enterprise updates.

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