You are not permitted to take the outputs you receive from Amazon Bedrock and use them to build or train an AI model that would compete with Bedrock or other AWS services.
This analysis describes what AWS Bedrock's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision directly restricts how enterprise AI teams can use inference outputs in their internal model development and fine-tuning workflows, which may affect standard MLOps practices that aggregate model responses into training datasets.
Interpretive note: The scope of what constitutes a service that competes with Amazon Bedrock or AWS is not exhaustively defined in the document, creating interpretive uncertainty about edge cases.
The updated terms now explicitly state that AWS IoT SiteWise Scenario Discovery is not designed for real-time vehicle control and cannot be used as the sole basis for determining vehicle safety or regulatory compliance. Organizations deploying this service must implement independent human monitoring and safety validation before using its outputs to support vehicle system decisions. The terms make clear that AWS assumes no responsibility for uses that violate these constraints.
View change record →The updated terms establish new restrictions on how AWS Capacity Reservations may be used. Specifically, customers purchasing On-Demand Capacity Reservations can no longer resell them to other parties, and AWS reserves the right to cancel the purchase or terminate running instances if the company suspects resale activity. For Capacity Blocks for ML, the grace period before instance termination increased from 30 minutes to 60 minutes for UltraServer instance types, allowing slightly more time to complete workloads. The Amazon Sidewalk qualification program was renamed and simplified, but the underlying security and operational requirements remain in effect.
View change record →The updated terms establish a formal framework for AWS Bedrock's free exploration services, clarifying the operational boundaries and responsibilities. AWS reserves the right to discontinue these services at any time without prior notice, meaning customers cannot rely on their continuation for production planning. Customers are solely responsible for testing, deploying, and maintaining any code, documents, or AI solutions AWS provides, including determining whether those solutions comply with applicable law. AWS retains the right to develop competing products based on content it creates during these engagements, though this does not override existing non-disclosure agreements. Customers are prohibited from requiring AWS personnel to sign additional terms as a condition of receiving free services, and any such documentation signed by AWS personnel is void.
View change record →Removal of this competitive restriction may allow customers greater freedom to develop competing AI models using Bedrock outputs, potentially indicating AWS's shift away from restrictive licensing.
View full change record →Severity downgraded from high to medium, and scope narrowed from 'Amazon's other AI/ML services' to 'any other AWS Service' with removal of explicit mention of 'content, models, or model outputs.'
View full change record →The terms prohibit using Bedrock model outputs in pipelines that train or develop competing AI foundation models; organizations must audit whether their internal AI development workflows that incorporate Bedrock outputs are compliant with this restriction.
How other platforms handle this
Microsoft reserves the right to restrict the export of data that may compromise the security of the services or Microsoft's intellectual property.
Datadog reserves the right, but does not assume the obligation, to investigate any violation of these Terms or misuse of the Site.
Pharmaceutical products
"You may not use the Services to develop foundation models or other large scale models that compete with Amazon Bedrock or any other AWS Service.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: This restriction is primarily a contractual obligation rather than one directly mandated by regulation.
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This provision directly restricts how enterprise AI teams can use inference outputs in their internal model development and fine-tuning workflows, which may affect standard MLOps practices that aggregate model responses into training datasets.
The terms prohibit using Bedrock model outputs in pipelines that train or develop competing AI foundation models; organizations must audit whether their internal AI development workflows that incorporate Bedrock outputs are compliant with this restriction.
ConductAtlas has identified this type of provision across 262 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.