Microsoft joins AI cost-cutting trend by relying more on its own models

Microsoft has begun using its own in-house MAI models to respond to user prompts in Excel and Word, reducing reliance on OpenAI and Anthropic software as part of a broader industry trend to cut AI costs. The move follows the launch of seven new MAI models at Microsoft's Build conference and mirrors similar cost-saving efforts by Amazon, Uber, Meta, and Accenture.

As AI costs continue to rise https://www.barrons.com/articles/ai-spending-alphabet-amazon-meta-b22f1044 , companies are looking for ways to cut back. The most recent example is Microsoft, which has reportedly begun to deploy a cost-savings strategy by relying less on software from OpenAI and Anthropic and instead deploying its own in-house models. Indeed, when it comes to two of its most widely used programs — Excel and Word — Microsoft has begun to use its homemade MAI models https://github.blog/changelog/2026-06-26-mai-code-1-flash-for-copilot-business-and-copilot-enterprise/ to respond to a certain percentage of user prompts, Bloomberg reported https://www.bloomberg.com/news/articles/2026-07-07/microsoft-replaces-openai-anthropic-with-own-ai-in-some-apps Tuesday. In the past, the company had advertised the fact that large parts of Office 365 are powered by models from both OpenAI and Anthropic https://www.microsoft.com/en-us/microsoft-365/blog/2025/09/29/vibe-working-introducing-agent-mode-and-office-agent-in-microsoft-365-copilot/ . While Microsoft still relies on those third-party models, it has also increasingly sought to stand up its own AI agents. Last month, at its annual Build conference, the company announced the launch of seven new MAI models https://microsoft.ai/news/building-a-hillclimbing-machine-launching-seven-new-mai-models/ , including an agentic coder and a text-to-image generator. When reached for comment by TechCrunch, Microsoft said that it had nothing further to share. Microsoft’s apparent cutbacks are part of a broader trend. After a brief blitz of “tokenmaxxing” earlier this year, the last few months have seen a news cycle awash in stories about tech companies acting significantly more thrifty. Other large companies — like Amazon https://www.nytimes.com/2026/06/18/technology/ai-token-minimizing.html , Uber https://techcrunch.com/?p=3128791&preview=true& thumbnail id=3100056 , Meta https://www.theinformation.com/articles/tokenminimizing-meta-moves-curb-employee-ai-usage-ai-costs-reach-billions , and Accenture https://techcrunch.com/2026/06/24/companies-are-scrambling-to-stop-employees-from-maxing-out-ai-budgets-with-small-tasks/ — have also reportedly made moves to curb spending. The immense cost of providing and buying AI services has become a controversial part of the industry. The sticker shock has gotten so bad in some parts of Silicon Valley that some companies are reportedly https://www.theatlantic.com/technology/2026/07/glm-5-2-china-cheap-ai-agents/687828/ looking to Chinese models for more affordable agentic solutions — despite some concerns over potential security issues https://www.washingtonpost.com/national-security/2026/07/06/why-anthropic-alleges-chinese-firms-are-distilling-knowledge-claude/ .