OpenAI is planning on being a healthcare industry AI player with the launch of OpenAI for Healthcare, a HIPAA-compliant version of ChatGPT for clinicians, just days after debuting ChatGPT Health for consumers.
Accenture and Anthropic launched a partnership that revolves around driving Claude deployments in the enterprise. The news lands a few days after Accenture announced a similar partnership with OpenAI.
Intuit and OpenAI announced a multi-year $100 million contract that will integrate ChatGPT with Intuit TurboTax, Credit Karma, QuickBooks and Mailchimp. Intuit will also expand its use of OpenAI models and potentially exposes its platform to a large ChatGPT customer base.
OpenAI isn't about to cede all the enterprise fun to Anthropic, which is viewed as the LLM for business play.
OpenAI said it has signed a $38 billion agreement to use AWS and its Amazon EC2 UltraServers immediately. Under the deal, OpenAI will access hundreds of thousands of NVIDIA GPUs and likely CPUs for AI agents.
Microsoft's stake in OpenAI has a number: $135 billion, or roughly 27% of the AI company.
OpenAI will design its own AI accelerators and chips in deal with Broadcom that will start in the second half of 2026 and run through 2029.
OpenAI launched App SDK, which connects applications directly to ChatGPT, AgentKit to speed up AI agent development, ChatKit to bring OpenAI to apps and websites, the general availability of Codex, and said ChatGPT-5 Pro and a smaller voice model is available in the API.
Databricks said OpenAI's foundational models will be available in the Databricks Data Intelligence Platform and Agent Bricks natively in a partnership worth $100 million.
Nvidia and OpenAI said they have struck a partnership where OpenAI will deploy at least 10 gigawatts of AI datacenters built on Nvidia's Vera Rubin GPUs. Nvidia will invest up to $100 billion in OpenAI as each gigawatt is deployed.
OpenAI, a master of projections for a perfect world, has an understanding that'll it'll reach an understanding with Microsoft. What could go wrong?
The race is on to put enterprise applications around large language models (LLMs) and the stakes couldn't be higher for the likes of OpenAI and Anthropic as well as other foundation model players.
