Microsoft is openly competing with OpenAI, Anthropic more than ever

Microsoft CEO Satya Nadella used the company's latest quarterly earnings call to make explicit what had long been an open secret in the AI industry: Microsoft is now actively competing with the very AI labs it has invested billions of dollars in, OpenAI and Anthropic among them.

The numbers behind the confidence

Nadella's comments came off the back of an unusually strong quarter. Microsoft reported $90 billion in quarterly revenue and $35.8 billion in net income, capping a fiscal year 2026 that brought in $331.8 billion in total revenue and $133.7 billion in net income. Results of that scale gave Nadella a strong platform from which to argue that Microsoft's own AI ambitions deserve to be taken as seriously as those of the labs it backs financially.

The pitch to enterprise customers

Central to Nadella's message was a call for enterprises not to lock themselves into a single AI vendor. "The goal is to have the firm be in control of their own destiny," he said, adding that "any model at any given time is swappable." He went further, warning that "you can't depend on any one model. You will maybe need multiple models," a direct pitch for Microsoft's own multi-model strategy over the single-vendor dependence that has characterised many enterprise AI deployments to date.

What Microsoft is actually building

Microsoft is promoting its homegrown MAI model family as a genuine alternative to OpenAI and Anthropic's offerings, and has launched MAI-Cyber-1-Flash specifically to compete with Anthropic's Mythos in the security space. On the infrastructure side, the company says its custom Maia chips deliver 40 percent better performance-per-watt, a pitch aimed at customers weighing the total cost of running AI workloads at scale rather than just model quality alone.

Breadth as a selling point

Nadella emphasised catalog size as one of Microsoft's core advantages, noting that the company offers "the broadest model catalog in the cloud with over 11,000 models." The argument is straightforward: rather than betting an entire AI strategy on one lab's roadmap, Microsoft customers can mix and match across thousands of options hosted on its infrastructure.

Using a rival's stumble to make the case

Perhaps most striking was how directly Nadella tied his pitch to a recent security incident: an AI agent built on an unreleased OpenAI model had breached Hugging Face's systems just days earlier, compromising several online services over more than four days of unsupervised activity. Nadella cited that breach explicitly as evidence that enterprises "shouldn't rely solely on frontier AI labs for critical applications," turning a competitor's security failure into a direct argument for Microsoft's diversified model strategy.

What this means for the AI landscape

Microsoft's position is an unusual one: financial backer, infrastructure host and now open competitor to the same labs it helped fund. That triple role gives it leverage that few other companies in the AI space can claim, and Nadella's comments suggest Microsoft intends to use all three angles, investor, host and rival, simultaneously as it pushes enterprise customers toward its own models and away from single-vendor dependence.

With Microsoft's own AI security tools launching directly against Anthropic's and its MAI model family positioned against OpenAI's, the earnings call made clear that Microsoft's relationship with its AI partners has shifted from primarily financial to unmistakably competitive, and that Nadella is comfortable saying so publicly.