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Microsoft is making a major change in its artificial intelligence strategy as it looks to control the growing expenses associated with running AI-powered services. The company has started reducing its dependence on external AI models from providers like OpenAI and Anthropic by introducing its own AI systems in some workplace applications.

According to reports, Microsoft has begun using its in-house MAI models to handle thousands of AI prompts every week in applications such as Excel and Outlook. Earlier, many advanced AI features in these apps relied heavily on models developed by OpenAI and Anthropic.

While this shift is still limited compared to Microsoft's overall AI operations, it signals a broader strategy: developing more internal AI capabilities to reduce costs and increase control over its AI ecosystem.

Why Is Microsoft Building Its Own AI Models?

Running AI services at a global scale requires massive computing power, which can become extremely expensive. Companies often pay based on the number of AI tokens processed—units that measure the amount of work performed by AI models.

For a company like Microsoft, which operates AI features across millions of users through products like Copilot, these costs can quickly become significant.

By using its own AI models, Microsoft aims to:

• Reduce dependence on external AI providers

• Lower long-term AI operating expenses

• Improve control over AI performance and development

• Build a stronger independent AI ecosystem

Microsoft Wants Cost-Effective AI Without Losing Quality

Microsoft continues to maintain a strong relationship with OpenAI, but the company is preparing for a future where relying entirely on third-party AI models could become expensive.

The goal is not only to reduce costs but also to ensure that AI features in products like Office applications remain efficient and scalable.

Anthropic AI Costs Become a Concern

Microsoft AI chief Mustafa Suleyman has highlighted the company's focus on reducing AI expenses.

He said that Microsoft currently spends significant amounts on Anthropic's AI services and that the long-term goal is to reduce and eventually eliminate such costs.

He also pointed out that internal usage of AI across the company has grown rapidly, with employees and teams consuming millions of AI tokens, reflecting how expensive large-scale AI adoption can become.

What Does This Mean for OpenAI?

Microsoft has been one of OpenAI's biggest supporters and partners, but this move shows that the company is also working toward greater independence.

As competition in the AI industry increases, major technology companies are investing heavily in developing their own models rather than relying solely on external providers.

The Bottom Line

Microsoft's decision to expand the use of its own AI models marks a significant shift in the AI race. The company is not abandoning external partnerships but is building more control over its AI infrastructure to manage costs, improve efficiency, and prepare for the future of workplace AI.