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High impactArs Technica / Bloomberg

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.

WayToClawEarn EditorialPublished Apr 28, 2026Updated Aug 8, 2026

Editorial review of public sources · AI-assisted drafting. How we work · Original source

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)

DimensionsChangeWhat it means to usRecommended actions
AvailabilityLog in to Amazon Bedrock for OpenAI modelsUsers can directly call GPT-4o, o3, Deep Research and other models on AWSInvestigate the pricing of OpenAI models on Bedrock and compare with the Azure version
Pricing competitionMulti-cloud supply → Accelerating price warAPI call costs are expected to further decreaseCompare OpenAI inference prices of mainstream clouds and adjust cost budgets
Automation ecologyAgent workflow is no longer tied to AzureTools such as n8n / LangGraph can freely choose cloud backendsAdd multi-cloud switching capabilities to the automation pipeline to reduce the risk of vendor lock-in
GitHub CopilotCopilot has also begun to shift to usage-based billingThe pricing model of AI coding tools has evolved from fixed packages to pay-as-you-goEvaluate the team's Copilot usage and switch to the most suitable billing plan
AGI termsCanceled, revenue sharing costs are decoupled from AGI progressOpenAI’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

python

# 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}")

AI

()

AI , OpenAIClaudeChatGPTAmazon BedrockAzureGeminin8nLangGraph etc. If your automation processes already use these tools, now is the perfect time to evaluate your multi-cloud strategy.

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