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Databricks Partners with OpenAI to Deliver Enterprise AI Models

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Databricks announced on Thursday a partnership with OpenAI to bring the ChatGPT maker’s artificial intelligence models directly into its platforms for enterprise clients.

Under the deal, OpenAI’s models will be integrated into Databricks’ cloud-based analytics platform as well as its flagship Agent Bricks product, which helps businesses design, test, and scale custom AI applications and agents. The agreement is expected to generate $100 million in revenue, according to Databricks.

The move marks another step in OpenAI’s expansion beyond its long-time cloud partner Microsoft Azure, as it seeks to accelerate adoption of its tools among corporate users. For Databricks, the deal strengthens its hand against rival Snowflake, which is still in early development of its AI services.

“We’re seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs,” said Databricks CEO Ali Ghodsi.

OpenAI’s GPT-5 will serve as a flagship model for more than 20,000 Databricks enterprise customers, the company said.

The agreement builds on an existing partnership: OpenAI already uses Databricks to process AI data, which supports improvements in ChatGPT. Databricks was also among the first to host gpt-oss, OpenAI’s open-weight models that specialize in advanced reasoning.

The announcement comes shortly after Databricks closed a $1 billion funding round, pushing its valuation to $100 billion and securing its place among the world’s most valuable private tech firms.

Microsoft Adds Anthropic AI Models to 365 Copilot, Expanding Beyond OpenAI

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Microsoft announced on Wednesday that it is integrating Anthropic’s AI models into its Copilot assistant, marking a strategic move to diversify beyond its close partnership with OpenAI, the maker of ChatGPT.

While OpenAI’s models will continue to power Copilot by default, users will now be able to choose Anthropic’s Claude Sonnet 4 and Claude Opus 4.1 for tasks within Copilot’s “Researcher” tool and when building custom agents in Microsoft Copilot Studio.

Starting this week, users who opt in to test Claude will be able to switch seamlessly between OpenAI and Anthropic models in Researcher, said Charles Lamanna, president of Microsoft’s business and industry Copilot division.

The shift underscores Microsoft’s effort to broaden the foundation of its AI services. Until now, Copilot’s advanced features across apps such as Word and Outlook have relied primarily on OpenAI.

Although Microsoft is OpenAI’s largest investor, the company has also been developing its own models and integrating those from other AI firms. Earlier this year, it announced plans to offer models from Elon Musk’s xAI and Meta Platforms, all hosted within its data centers. Models from China’s DeepSeek have also been added to Microsoft’s Azure cloud platform.

Anthropic’s Claude models, however, are primarily hosted on Amazon Web Services (AWS), a direct competitor to Microsoft Azure, highlighting a rare cross-cloud collaboration.

Oracle Seeks to Raise $18 Billion in Debt to Fund AI Cloud Push

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Oracle is planning to raise $18 billion in debt, according to a regulatory filing on Wednesday, as it accelerates investment in cloud infrastructure to meet soaring demand from artificial intelligence clients.

The enterprise software and cloud services giant has been expanding its capital spending to deliver on major contracts, including agreements with OpenAI, which are expected to drive significant growth in its cloud business.

According to a pricing term sheet filed with the U.S. Securities and Exchange Commission, Oracle will sell the debt in six tranches.

In a separate filing, the company said proceeds could be used for general corporate purposes, including stock buybacks, debt repayment, or acquisitions, in addition to infrastructure investment.

The debt sale highlights how rising AI adoption is reshaping the priorities of major tech firms, with Oracle joining a growing list of companies tapping capital markets to finance the costly buildout of hyperscale data centers.