You are not allowed to take anything produced by Amazon Bedrock — including AI-generated text, images, or other outputs — and use it to build a competing AI service or foundation model.
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 clause establishes a non-compete restriction on the outputs and intellectual property generated through the service. It operationally constrains downstream model development activities that would create competitive alternatives to Amazon's AI offerings.
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 →Businesses using Bedrock cannot feed its outputs into training pipelines for competing AI models, which constrains AI product development strategies and may require costly technical controls to ensure pipeline segregation.
How other platforms handle this
We do not train any models on User Content.
the Company reserves the right, but not the obligation, to review or monitor Inputs and Outputs using automated and manual tools.
How Adobe analyzes your content using techniques such as machine learning in order to improve our Services and Software, and how to opt out of this.
"You may not use Amazon Bedrock, including any content, models, or model outputs, to develop foundation models or other large scale models that compete with Amazon Bedrock or Amazon's other AI/ML services.Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY FRAMEWORK: This provision engages intellectual property law (17 U.S.C.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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This clause establishes a non-compete restriction on the outputs and intellectual property generated through the service. It operationally constrains downstream model development activities that would create competitive alternatives to Amazon's AI offerings.
Businesses using Bedrock cannot feed its outputs into training pipelines for competing AI models, which constrains AI product development strategies and may require costly technical controls to ensure pipeline segregation.
ConductAtlas has identified this type of provision across 216 platforms. See the full comparison.
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