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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

Aaron Holmes / The Information :

The Information Aaron Holmes

Context & Ripple Effects

Microsoft’s reported MAI work extends its earlier training of a large in-house MAI-1 model from a research effort into a potential product dependency decision. It also follows reporting that the company was pursuing a broader mix of first- and third-party models for 365 Copilot amid cost and speed concerns.

The significance is less that Microsoft has another model than that Copilot—one of its most visible AI distribution channels—could become a multi-model service rather than a primarily OpenAI-backed one.

First-order effects

  • Microsoft gains an internally trained option to test against OpenAI models in Copilot, giving its product teams more control over model selection.
  • OpenAI faces the prospect that a major distribution partner could reduce its role in Copilot if MAI proves suitable for particular workloads.

Second-order effects

  • The testing strengthens Microsoft’s negotiating position on model cost, performance, and availability, while making a mixed-model architecture more practical across its AI products.
  • Other model providers may have a clearer route into Microsoft’s stack: separate reporting says Microsoft is testing alternatives from xAI, Meta, and DeepSeek for Copilot.

Third-order effects

  • If these experiments translate into deployment, enterprise AI platforms may increasingly treat frontier models as interchangeable suppliers selected by task, cost, and latency rather than as a single strategic dependency.
  • That would shift durable leverage toward platforms that own customer distribution, evaluation systems, and compute, while model makers compete more directly for placement.

The trend: This is one data point in the shift from exclusive model partnerships toward disciplined, multi-supplier AI model procurement by major platforms.

Discussion

  • @glinden Greg Linden on bluesky
    Yes, if open source or homegrown LLM models are almost as good and much cheaper to deploy, everyone is going to use the cheap models instead.  This is a big problem for OpenAI and other startups trying to charge a premium for models that aren't clearly better when actually used i…
  • @ns123abc Nik on x
    🚨🚨🚨BREAKING: Microsoft has begun cutting ties with OpenAI and is now testing models from xAI, Meta and DeepSeek for replacements in Co-pilot it's so fucking over [image]
  • @zephyr_z9 @zephyr_z9 on x
    >after OpenAI refused to share technical details about how o1 works Now we know why Microsoft isn't participating in Stargate
  • @amir Amir Efrati on x
    New: Microsoft has access to OpenAI's IP. That doesn't mean it's simple for Microsoft to recreate OpenAI's innovations. [image]
  • @aaronpholmes Aaron Holmes on x
    News: MSFT staff under Mustafa Suleyman have trained a new family of models, dubbed MAI, that they think stack up with top models from OpenAI, Anthropic, etc. Suleyman's unit is also developing reasoning models: that could compete with o1/o3: https://www.theinformation.com/ ...
  • @danielnewmanuv Daniel Newman on x
    Unless you've been living under a rock for the last six months, the beginning of the end of the Microsoft open AI happy partnership has been evident.  Either way Microsoft had to move towards building its own models, expanding to use more open source models and hedging its long-t…
  • @ecommerceshares @ecommerceshares on x
    Looks like $MSFT is abandoning the OpenAI ship.... Masayoshi Son top-ticked AGAIN. When will the Saudis say “This is enough! Stop fucking around, we want our cash back!”
  • r/OpenAI r on reddit
    Microsoft reportedly ramps up AI efforts to compete with OpenAI