Microsoft and OpenAI end exclusive cooperation agreement: huge changes in the AI ​​cloud landscape

Core conclusion

On April 27, 2026, Microsoft and OpenAI jointly announced the end of their several-year exclusive partnership and the cancellation of the original revenue sharing agreement. This change means:

• OpenAI is no longer bound to Microsoft Azure as its exclusive cloud platform, and can freely choose computing power including Google Cloud and AWS
• Microsoft no longer enjoys first dibs on OpenAI revenue
• AWS CEO Andy Jassy immediately confirmed that the OpenAI model will be launched on the Bedrock platform
• For AI entrepreneurs and developers: tool selection will become more flexible and competition among cloud service providers will intensify

Key Points

• Occurrence: April 27, 2026 -Affected objects: AI developers, content creators, automated pipeline users
• Core changes: AI computing power and model ecology shift from "exclusive binding" to "open competition"

Background and trigger events

Since 2019, Microsoft has invested more than US$13 billion in OpenAI and has obtained the exclusive cloud provider status of Azure and the right to share revenue from OpenAI. This arrangement was once considered a landmark collaboration in the AI ​​industry. However, as competition in the AI ​​market intensifies, the interests of both parties gradually diverge.

OpenAI needs a more diverse computing power supply chain to support its next-generation model training. Microsoft hopes to embed AI capabilities into its product matrix more flexibly. Coupled with Google's recent release of Gen 8 TPU and AWS's active deployment of AI infrastructure, the exclusive model is no longer in the interest of any party.

According to Bloomberg, the two sides began negotiating this change several months ago. The official OpenAI blog called this "a natural evolution of the partnership" in the announcement.

Key Impact

Adaptation suggestions

The following actions can be taken to help you cope with this change in the AI industry:

• If you are using the Azure OpenAI service: It is not affected for the time being, but you can consider evaluating OpenAI access methods on other platforms
• If your workflow relies on the AI capabilities of a single cloud provider: gradually abstract model calls into interface layers to improve the flexibility of changing cloud providers.
• Watch for announcements about the availability of OpenAI models on AWS Bedrock, which is important for deployment location choices for automation tools like n8n and AI Agent workflows
• Reserve multi-model switching capabilities for the content production pipeline - the cost and capability gap between models may further widen within half a year

Task List

• Check the depth of dependence of existing content production pipeline on OpenAI
• Encapsulate API calls into switchable providers
• Evaluate deploying OpenAI models on AWS Bedrock as an alternative

Example: Checking multi-platform API availability with curl

# Azure OpenAI
curl -sS -X POST "https://YOUR_RESOURCE.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT/chat/completions?api-version=2026-01-01"   -H "api-key: $AZURE_KEY"   -H "Content-Type: application/json"   -d '{"model":"gpt-4o","messages":[{"role":"user","content":"test"}]}'

# API
curl -sS -X POST "https://api.openai.com/v1/chat/completions"   -H "Authorization: Bearer $OPENAI_KEY"   -H "Content-Type: application/json"   -d '{"model":"gpt-4o","messages":[{"role":"user","content":"test"}]}'

• Bloomberg Gift Article
• OpenAI
• Andy Jassy X OpenAI Bedrock

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