Core conclusion

On April 27, 2026, Microsoft and OpenAI announced the termination of their seven-year exclusive cooperation and revenue sharing agreement. This means that OpenAI’s API services will no longer be limited to Microsoft Azure cloud, but can be accessed by cloud vendors such as Amazon AWS and Google Cloud. **For AI monetization and automation practitioners, this change will bring lower API prices, more cloud platform choices, and more flexible deployment options. **

Key Points

• Time of incident: April 27, 2026 (April 28, Beijing time)
• Signatories: Microsoft (Satya Nadella) and OpenAI (Sam Altman)
• Core changes: Removed Azure’s exclusive cloud provider clause and restructured the $13 billion investment relationship between the two parties
• Additional bonus: Amazon CEO Andy Jassy immediately tweeted to welcome OpenAI to AWS
• Scope of influence: All AI applications, Agent workflows, and content automation pipelines using OpenAI API

Background and trigger events

In 2019, Microsoft invested US$1 billion in OpenAI, and subsequently increased it multiple times to a total of approximately US$13 billion, becoming the exclusive cloud provider of OpenAI. This exclusive clause has been regarded as Microsoft's core moat in the AI ​​competition in the past few years-Azure exclusively hosts all OpenAI products such as ChatGPT, GPT-4, DALL·E, etc.

However, as OpenAI has rapidly grown into an AI giant with a valuation of over US$300 billion, the relationship between the two parties has gradually become complicated. OpenAI's reliance on exclusive computing power suppliers has been controversial within OpenAI, and Microsoft has also created subtle competition with OpenAI's business due to its need to promote its Copilot product line at the same time.

On April 27, OpenAI released its official blog "Next Phase of Microsoft Partnership", officially announcing that this historic cooperation has entered a new stage. Amazon CEO Andy Jassy also issued a document on the X platform confirming that AWS will support OpenAI products.

Key Impact (by Dimension)

Adaptation suggestions

Impact on automated workflows

If you are a developer or operator using the OpenAI API to drive content automation or AI Agents, here are the actions you can take immediately:

1. Evaluate multi-platform access options - No longer limited to Azure, you can compare the pricing differences between AWS Bedrock, GCP Vertex AI and Azure to choose the lowest latency regional endpoint
2. API call technology adjustment — Add API endpoint switching logic to the existing n8n or Claude Code automated workflow to achieve failover
3. Cost Optimization — When multiple cloud platforms compete for OpenAI API services, inference prices are expected to drop within 3-6 months, and bulk purchase negotiations are recommended for high-frequency calling models (such as GPT-4o-mini)
4. Infrastructure Diversification — If you use Hermes Agent or OpenClaw to build an AI Agent pipeline, the OpenAI calls will be encapsulated into modules to facilitate switching of the underlying inference provider.

Task List

• Check current OpenAI API integration code to ensure multi-endpoint compatibility
• Compare the pricing of OpenAI services on AWS, GCP, and Azure platforms
• Add API availability monitoring and automatic switching to the automated pipeline
• Evaluate whether inference hardware costs can be reduced with Google TPU v8

Example: Multi-provider calling code snippet

Tools such as ```python import openai import random

providers = [ {"base_url": "https://api.openai.com/v1", "api_key": "sk-xxx"}, {"base_url": "https://aws-bedrock.example.com/v1", "api_key": "aws-xxx"}, {"base_url": "https://gcp-vertex.example.com/v1", "api_key": "gcp-xxx"}, ]

def chat_completion(messages, model="gpt-4o"):

provider = random.choice(providers)
client = openai.OpenAI(
    base_url=provider["base_url"],
    api_key=provider["api_key"]
)
return client.chat.completions.create(
    model=model,
    messages=messages
)

![multi_cloud_ai](https://images.unsplash.com/photo-1677442136019-21780ecad995?w=800&h=400&fit=crop)

##

HN ，774 + 672 AI 。

- **Google **OpenAI Google TPU， Google Gen 8 TPU
- ****AWS GCP AI ， Azure
- **** OpenAI API ， AI

##
- [OpenAI](https://openai.com/index/next-phase-of-microsoft-partnership/)
- [CEO Andy Jassy](https://x.com/ajassy/status/2048806022253609115)
- [Bloomberg](https://www.bloomberg.com/news/articles/2026-04-27/microsoft-and-openai-end-their-exclusive-and-revenue-sharing-deal)
- [HN (774 )](https://news.ycombinator.com/item?id=47921248)

##

 `OpenAI`、`ChatGPT`、`Azure`、`AWS` AI 。 AI ， `n8n`、`LangGraph`、`Claude Code`、`OpenClaw` `Hermes Agent` can all allow for more flexible configuration of multi-provider inference after the API is opened.

## Internal link guidance
- Interested in AI automation? Watch: [AI Agent Tools 2026 Complete Tutorial: 5 Tools to Build an Automated Pipeline in 30 Minutes](https://waytoclawearn.com/tutorials/ai-agent-tools-tutorial-20260418)
- Real case: [OpenClaw + Claude Automated Publishing: $1,500–$2,500/mo Case Study](https://waytoclawearn.com/cases/openclaw-content-empire-20260419)