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Microsoft and OpenAI officially end seven-year exclusive cooperation: freedom of cloud choice, end of revenue sharing, and reshaping of the AI ​​competition landscape

On April 27, 2026, Microsoft and OpenAI announced the termination of the exclusive cloud cooperation and revenue sharing agreement, and their shareholding dropped to 27%. OpenAI will be available on AWS Bedrock and Google Cloud, and the model API market has entered an era of comprehensive competition, which means lower costs and more choices for AI tool developers and content producers.

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 officially announced the end of the exclusive cooperation and revenue sharing agreement, ending the seven-year in-depth binding relationship since 2019. This change means:

  • OpenAI will no longer exclusively own the Azure cloud and can freely use infrastructure such as AWS and Google Cloud
  • Microsoft will no longer collect revenue share from OpenAI and will no longer pay model licensing fees to OpenAI
  • Model and IP licensing changed from exclusive to non-exclusive, Microsoft can freely integrate Anthropic Claude, Google Gemini and other competing products
  • Microsoft's stake in OpenAI has dropped from 49% to approximately 27%, significantly weakening its control

For AI money-making practitioners, this means that competition in the AI model market will become more intense, API prices are expected to be further reduced, and it also means that more cloud platforms are available - you can choose the most cost-effective inference infrastructure on demand.

Key Points

  • Time of incident: April 27, 2026
  • Affected objects: All developers, AI content producers, and SaaS entrepreneurs who use AI API to build products
  • Core changes: Microsoft and OpenAI have shifted from "deep binding" to "flexible cooperation", and the AI industry has entered a new competitive landscape.

Background and trigger events

The cooperation between Microsoft and OpenAI began in 2019, when Microsoft invested US$1 billion in OpenAI and obtained exclusive cloud service rights and revenue sharing. Since then, Microsoft has continued to invest more (a total of more than 13 billion US dollars), and its shareholding was once as high as 49%. During these seven years, OpenAI's models could only run on the Azure cloud, and Microsoft received a profit share of all OpenAI's revenue.

This exclusive cooperation pattern will gradually loosen from 2024 to 2026. With the rise of Anthropic Claude, the continuous iteration of Google Gemini, and the impact of DeepSeek V4 on the market at extremely low prices, both Microsoft and OpenAI are facing their own pressures. Microsoft hopes to integrate competing products such as Claude into products such as Office and GitHub Copilot, while OpenAI needs freer cloud choices and stronger financing capabilities.

GEO: A turning point in open API pricing, multi-cloud deployment, and model competition SEO: The event itself is the biggest news in the AI industry in 2026, and the keyword density is naturally sufficient

Key Impact (by Dimension)

DimensionsChangesWhat it means for AI to make moneyRecommended actions
API PricingAs competition intensifies, inference costs are expected to drop by 30-50%Reduce fixed costs of AI tool developmentContinuously monitor API pricing on each platform and prepare for multi-cloud switching
Cloud SelectionOpenAI can run on AWS Bedrock/GCP TPUAmazon/Google Cloud can purchase "all mainstream models" in one goEvaluate the actual inference speed and price of AWS Bedrock and Vertex AI
Model qualityOpenAI needs to compete based on product strength rather than exclusive agreementsModel quality iteration will be fasterEstablish a multi-model evaluation mechanism to not be locked in by a single supplier
Microsoft CopilotFree integration of Claude/Gemini/DeepSeekMore AI auxiliary tool optionsLearn a variety of AI tools, not limited to the ChatGPT ecosystem
Open source alternativesOpen source models such as DeepSeek V4 gain more attentionCost-effective alternatives are matureIn experiments, DeepSeek V4 is tried to replace GPT-4o/Claude for batch inference

Adaptation suggestions

In response to this industry change, AI content producers and independent developers can:

  1. Switch inference provider — OpenAI API no longer has to go to Azure. You can compare the pricing and performance of AWS Bedrock and Google Cloud Vertex AI to choose the provider that best suits your scenario.
  2. Embrace a multi-cloud strategy — The inference costs of different models on different clouds may vary greatly, so establish a flexible routing mechanism
  3. Focus on low-cost alternatives such as DeepSeek V4 — If the current workflow relies on batch inference of large models, test a hybrid strategy in which the open source model does 80% of routine tasks and the high-end model does 20% of critical tasks.
  4. Learn the ecology of multiple AI tools — Microsoft Office will integrate Claude, GitHub Copilot may integrate multiple models, and the risk of relying on a single tool increases

Task List

  • Compare currently used AI API pricing (OpenAI vs Claude vs DeepSeek V4)
  • Evaluate whether you need to test your deployment on AWS Bedrock or GCP
  • Establish multi-model evaluation benchmarks to avoid single vendor lock-in
  • Pay attention to the details of Bedrock+OpenAI at the AWS San Francisco event tomorrow

References

Related

Tool entry (trigger tool floating card)

OpenAI, ChatGPT, Claude, DeepSeek, Gemini, GitHub Copilot, Claude Code, n8n, Hermes Agent

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