Source: Microsoft has completed training a family of models, codenamed MAI, and is experimenting with swapping out OpenAI's models in Copilot for the MAI models
Mustafa Suleyman wasn't getting the answers he wanted. — Last fall, during a video call with senior leaders at OpenAI and Microsoft …
Context & Ripple Effects
Microsoft had already begun building MAI-1 as an in-house model effort and later explored adding third-party models to 365 Copilot amid cost and speed concerns. The reported completion of MAI turns that earlier in-house model program into a potential deployment option.
The move also fits Microsoft’s broader testing of alternatives from other labs for Copilot. Rather than treating a single supplier as the default, Microsoft is assembling leverage across internal and external model sources.
First-order effects
- Microsoft gains a trained MAI family to evaluate directly against OpenAI models in Copilot, creating a credible internal fallback rather than relying solely on external options.
- OpenAI faces a potential reduction in its role inside Copilot if Microsoft’s experiments translate into production use; the report does not establish that a replacement has occurred.
Second-order effects
- Microsoft can use MAI results alongside its testing of models from other AI labs to compare capability, cost, and speed across suppliers, strengthening its negotiating position.
- Other model providers have a clearer incentive to make their systems easier for large software platforms to evaluate and integrate, as Copilot becomes a contested distribution channel.
Third-order effects
- If large application platforms routinely combine proprietary and outside models, frontier-model providers may increasingly compete for placement feature by feature rather than win exclusive platform-wide roles.
- The pattern points toward AI procurement becoming a core product capability: buyers with distribution, compute, and model teams can exert more control over which models reach end users.
The trend: Major AI product platforms are shifting from dependence on one model partner toward multi-model portfolios designed to improve performance, economics, and bargaining power.