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 establish new data-sharing mechanisms for users of Anthropic models on Amazon Bedrock. Specifically, AWS now explicitly authorizes notification to Anthropic of metadata present in requests sent to certain Anthropic products (e.g., Claude Code, computer use features), enabling Anthropic to conduct product-level usage attribution. Additionally, the terms introduce AWS WAF AI traffic monetization, which permits AWS to facilitate payment transactions between content publishers and buyers by sharing pricing, payment, and configuration information with payment providers and facilitators; the updated terms clarify that AWS does not provide regulated financial services and is not a party to fund flows, and that users' interactions with payment providers are governed by separate terms between the user and those parties. Users employing these features should review what metadata may be embedded in their requests and understand their own obligations to payment providers.
View change record →The updated terms establish that customers operating Amazon RDS databases on end-of-life software versions are now required to upgrade to supported versions. The agreement authorizes AWS to scan extension code used with Trusted Language Extensions for security and performance purposes, and establishes that extension code constitutes customer content. AWS disclaims responsibility for service failures caused by extensions or end-of-life database software. If a customer does not upgrade before an engine reaches end of life, AWS may snapshot the customer's data and delete the instance or cluster running the unsupported software, after providing prior notice of the engine end-of-life date.
View change record →The updated terms establish new operational requirements for any organization using Amazon Connect Talent to make or inform employment decisions. Customers must now obtain legally adequate privacy notices and consents from job applicants before their data is processed by the service. The terms require customers to review all AI output before making hiring decisions, implement processes for applicants to request information about the AI's role in decisions, and ensure their use of the tool complies with applicable labor, anti-discrimination, disability, data privacy, AI, wiretap, recordkeeping, and biometrics laws. Customers can configure an AI services opt-out policy through AWS Organizations to prevent their data from being used to train or improve AWS AI technologies.
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
Customer will not (and will not permit its Users or anyone else to) do any of the following: ... (g) use the Services or Output, directly or indirectly, to create, test, train, or otherwise develop any artificial intelligence or machine learning models, systems, architecture, weights, or related tec...
After registration, you may create, upload or transmit files, documents, videos, images, data or information as part of your use of the Service (collectively, "User Content"). This includes any inputs you provide to our AI-powered support tools and outputs generated in response to your inputs. User ...
engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
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"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. copyright, trade secret law), and potentially FTC Act Section 5 if enforcement is applied in a manner that constitutes an unfair method of competition. It also intersects with EU competition law (TFEU Art. 101-102) if interpreted as an anti-competitive restriction on downstream innovation. The primary enforcement authority is AWS contractually, with potential FTC or DOJ Antitrust Division involvement if the restriction is found to foreclose competition.
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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.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.