Microsoft and OpenAI end exclusive cooperation: the end of an era and the new landscape of the AI industry
Microsoft and OpenAI announced the end of their exclusive partnership on April 27, 2026, and OpenAI models will be available on multi-cloud platforms such as Amazon Bedrock. Microsoft still holds the IP license until 2032, but the exclusive license becomes non-exclusive, the revenue share is capped and the AGI clause is removed. This change will profoundly affect AI cloud service pricing, automation tool selection, and developer ecology.
Core conclusion
On April 27, 2026, Microsoft and OpenAI jointly announced the modification of the cooperation agreement, ending the exclusive cooperation relationship between the two parties for 7 years. From now on, OpenAI can provide its models on any cloud platform such as Amazon Bedrock. Microsoft's exclusive license is converted to non-exclusive, but it still holds the OpenAI IP license until 2032, and Azure will retain the status of "Major Cloud Partner". This change occurred in the context of Amazon’s recent investment of US$50 billion in OpenAI, which directly impacted the competitive landscape of the AI cloud service market.
Key Points
- Time of incident: 2026-04-27 -Affected objects: AI development teams, cloud platform users, content automation practitioners
- Core change: OpenAI models can be obtained through Amazon Bedrock, Google Cloud and other clouds, and are no longer forced to lock Azure
- Revenue sharing: continue to maintain 20%, but set a total cap, and "do not rely on AI technology progress" (the famous AGI clause has been cancelled)
Background and trigger events
In 2019, Microsoft invested US$1 billion in OpenAI, establishing one of the strongest and most important exclusive partnerships in the technology industry. Microsoft Azure has become the exclusive cloud provider of the OpenAI model, and both parties share revenue and are closely bound. However, this arrangement began to loosen in early 2026.
In February this year, Amazon signed a $50 billion agreement with OpenAI, and some OpenAI models will run on AWS. According to the Financial Times, Microsoft has threatened legal action as a result. And just last week, Google announced an investment of US$10-40 billion in Anthropic, further proving that the trend of "loose coupling" of AI models and cloud platforms is accelerating.
Finally, OpenAI and Microsoft formally revised their agreement this week, ending their exclusive partnership.
Key Impact (by Dimension)
| Dimensions | Change | What it means to us | Recommended actions |
|---|---|---|---|
| Availability | Log in to Amazon Bedrock for OpenAI models | Users can directly call GPT-4o, o3, Deep Research and other models on AWS | Investigate the pricing of OpenAI models on Bedrock and compare with the Azure version |
| Pricing competition | Multi-cloud supply → Accelerating price war | API call costs are expected to further decrease | Compare OpenAI inference prices of mainstream clouds and adjust cost budgets |
| Automation ecology | Agent workflow is no longer tied to Azure | Tools such as n8n / LangGraph can freely choose cloud backends | Add multi-cloud switching capabilities to the automation pipeline to reduce the risk of vendor lock-in |
| GitHub Copilot | Copilot has also begun to shift to usage-based billing | The pricing model of AI coding tools has evolved from fixed packages to pay-as-you-go | Evaluate the team's Copilot usage and switch to the most suitable billing plan |
| AGI terms | Canceled, revenue sharing costs are decoupled from AGI progress | OpenAI’s commercialization path is clearer, no need to "wait for technological breakthroughs" | Feel free to make product planning based on existing model capabilities |
Adaptation suggestions
In response to this major industry change, content production and automation teams can take immediate action:
- Update AI Agent Workflow: If the current pipeline is running on Azure, investigate the compatibility and cost of deploying the OpenAI model on AWS Bedrock
- Multi-cloud strategy first: Use the multi-provider support of n8n or LangGraph to write a cloud switching script to achieve "one-click backend change"
- Re-evaluate tool selection: After OpenAI no longer has the exclusive right to speak, Anthropic Claude, Google Gemini, and open source models will have greater opportunities
Task List (Example)
- Add AWS Bedrock OpenAI node to n8n workflow (if supported by official SDK)
- Sort out the current automation tasks that rely on Azure OpenAI and make a "multi-cloud compatibility list"
- Compare OpenAI inference prices with other cloud platforms (AWS/GCP)
- Pay attention to the specific effective date of GitHub Copilot's billing based on usage, and adjust the team subscription plan
Example: Query OpenAI model pricing on different clouds
# OpenAI
clouds = {
"Azure OpenAI": {"GPT-4o": "$2.50/1M input", "o3": "$10.00/1M input"},
"AWS Bedrock ()": {"GPT-4o": "TBD — Azure "},
"OpenAI Direct": {"GPT-4o": "$2.50/1M input", "o3": "$10.00/1M input"}
}
print(" OpenAI ")
for cloud, models in clouds.items():
print(f"\n{cloud}:")
for model, price in models.items():
print(f" {model}: {price}")- Ars Technica : OpenAI ends its exclusive partnership with Microsoft
- Bloomberg: Microsoft and OpenAI End Their Exclusive and Revenue-Sharing Deal
()
AI , OpenAI、Claude、ChatGPT、Amazon Bedrock、Azure、Gemini、n8n、LangGraph etc. If your automation processes already use these tools, now is the perfect time to evaluate your multi-cloud strategy.
Internal link guidance
- Want to learn how? Watch: How to use n8n + OpenAI to build an automated content collection and publishing workflow: from zero to one in 30 minutes
- Real case: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo
- AI Agent tool practice: AI Agent Tools 2026 Complete Tutorial: 5 Tools to Build an Automated Pipeline in 30 Minutes
Monetization angle
How can you make money from this trend?
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n8n + OpenAI affiliate site
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Claude + n8n automation agency
Charge monthly for agent workflow builds