Microsoft Declares AI Independence: Phasing Out OpenAI and Anthropic Models to Curb Costs

Tech giant Microsoft (MSFT), which has pioneered billions of dollars in infrastructure investments in the AI race, has made a strategic pivot to reduce external dependencies and protect its operational margins. The company is focusing on in-house solutions to alleviate the heavy cost burden associated with third-party AI models.

The Cost Fracture in OpenAI and Anthropic Partnerships

According to reports by Bloomberg, Microsoft has begun gradually replacing OpenAI and Anthropic models in its flagship software products, including Outlook and Excel. Behind this radical move lies the unsustainable cost burden of running external AI operations. Microsoft's AI Chief, Mustafa Suleyman, previously emphasized that alternatives became inevitable as Anthropic models in particular turned extremely expensive.

In-House Solution: The MAI Model Takes Center Stage

Seeking to eliminate high licensing and processing fees paid to third-party startups, the software giant is deploying its own proprietary AI model, MAI. The maturation of Microsoft's internal models allows the company to slash reliance on outside providers while boosting operational efficiency.

■Microsoft will continue to provide global AI infrastructure and computing power through its Azure AI cloud platform.

■Wall Street analysts predict that transitioning to the in-house MAI model will significantly bolster operational margins in the medium term.

■Maintaining a strong stance in equity markets, the company remains a favorite of institutional investors, backed by 282 hedge funds.

■Analysts project an upside potential of over 47% for Microsoft (MSFT) stock from its current trading levels.

From the perspective of global tech supply chains and high-tech air freight logistics, Microsoft's pivot is not merely a software optimization; it is a logistical realignment that will directly impact hardware and silicon cargo flows to data centers. Transitioning to the in-house MAI model will trigger a new wave of consolidation in the global distribution routes of custom ASICs and Nvidia GPUs across Azure data centers. This margin-saving strategy translates into a more localized and optimized flow in high-value air cargo logistics.