Microsoft takes its OpenAI partnership to a new level

Microsoft announced a new phase of its partnership with OpenAI on Monday, the company behind ChatGPT and DALL-E. Microsoft has not disclosed the exact amount, but several US outlets put it at around $10 billion.

The deal makes Microsoft OpenAI’s key technology and financial partner at a decisive moment: ChatGPT has brought generative language models to the general public and accelerated competition among the major technology platforms. The partnership covers both the infrastructure used to train these systems and their integration into enterprise and consumer products.

Azure will underpin OpenAI’s models

Microsoft and OpenAI have worked together since 2019, when the Redmond-based tech company invested $1 billion in the organization. The two sides expanded the relationship in 2021 with a new investment, though they did not disclose the amount.

The development announced today marks the so-called third phase of that collaboration. Microsoft will continue developing specialized supercomputers for OpenAI within Azure, its cloud computing platform. Training models such as GPT-3 requires processing huge amounts of text and adjusting billions of parameters—the internal values the model modifies to learn patterns—a task that only a handful of companies can afford because of its power and infrastructure costs.

OpenAI will use Azure as its exclusive cloud provider. In return, Microsoft will be able to integrate the company’s models into its own services and sell them to businesses through Azure OpenAI Service.

The service, which became generally available last week, lets companies access models such as GPT-3.5, Codex and DALL-E 2 through Azure. The key difference is that a company does not have to build a language model from scratch: it can use OpenAI’s models within Microsoft’s infrastructure, security controls and enterprise contracts.

From GitHub Copilot to broader integration

The partnership had already produced concrete products. GitHub Copilot, the assistant that suggests code to programmers, is based on models developed by OpenAI. Microsoft has also brought these capabilities to Power Platform tools and Azure services aimed at developers.

The announcement opens the door to broader integration across Microsoft products, although the company has not detailed which applications will receive the models first or when. The ambition is clear: to make generative AI a common layer across its portfolio, from office software to application development tools.

For OpenAI, the deal provides more than capital. The organization needs extraordinary computing capacity to train and run its models at scale. ChatGPT, launched in late November, has shown how quickly public interest can drive demand for these services. Keeping them available to millions of people requires servers, specialized chips and sustained investment.

A move to control AI infrastructure

The deal also strengthens Microsoft’s position against Google, Amazon and Meta. Competition is no longer just about releasing a powerful model: it also matters who has the data centers, chips and commercial network needed to deliver it to businesses.

Microsoft gains privileged access to one of the technologies that has attracted the most attention since late 2022. OpenAI, for its part, gets a way to turn its research advances into enterprise products without having to build a global cloud infrastructure on its own.

A significant question remains for customers and regulators: to what extent will this partnership concentrate access to the most advanced models among a handful of platforms? Azure OpenAI Service makes it easier for a midsize company to test these tools, but it also places a growing part of the technology chain—model, computing and distribution—under the same group of partners.

The coming months will show whether Microsoft turns this investment into visible features for its users or whether the initial priority remains developers and major Azure customers. What has already changed is the scale: OpenAI is no longer just a highly influential research lab, but a central part of Microsoft’s cloud and software strategy.