OpenAI models coming to Amazon Bedrock: Interview with OpenAI and AWS CEOs

stratechery.com
April 28, 2026
48 min read
63/100
Summary
OpenAI CEO Sam Altman and AWS CEO Matt Garman discussed Bedrock Managed Agents in a recent interview. Bedrock Managed Agents leverage OpenAI technology to enhance cloud-based AI services.
Key Takeaways
- OpenAI and Microsoft amended their agreement, allowing OpenAI to serve its products on other cloud providers, including AWS.
- Microsoft remains OpenAI's primary cloud partner, with products shipping first on Azure unless Azure cannot support necessary capabilities.
- OpenAI is focusing on AWS for its Bedrock Managed Agents offering, which aims to simplify AI workflows for organizations with data in AWS.
- Microsoft will no longer pay a revenue share to OpenAI, while revenue share payments from OpenAI to Microsoft will continue through 2030 at a capped percentage.
Coverage & discussions
Hacker News Β· stratechery.com
Community discussions
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Analysis ready
Community Sentiment
Positives
- The integration of OpenAI models into Amazon Bedrock could enhance accessibility for enterprise users who prioritize data privacy and trust, potentially expanding the market reach of OpenAI.
- Anthropic's focus on building a robust LLM alongside other AI capabilities like video and image generation positions them favorably in the competitive landscape, as evidenced by their strong performance in benchmarks.
- The partnership with AWS has significantly driven the adoption of Anthropic's models in organizations, indicating that infrastructure support can be a game-changer for AI deployment.
Concerns
- OpenAI appears to be lagging behind competitors like Anthropic in enterprise adoption, raising concerns about their ability to remain relevant in a rapidly evolving AI landscape.
- There are doubts about the performance consistency of models when hosted on different platforms, which could complicate development and deployment for organizations relying on these AI tools.
- The perception that OpenAI's offerings on Azure are inadequate for serious enterprise deployments suggests a significant hurdle for their market competitiveness.
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