AWS Bedrock · AWS Service Terms · View original document ↗

Prohibition on Training Competing Models with Bedrock Outputs

Medium severity Medium confidence Explicitdocumentlanguage Unique · 0 of 343 platforms
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Recent governance activity AWS Bedrock recorded 8 documented changes in the last 30 days.
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Document Record

What it is

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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

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.

Recent Activity

This document changed recently

Medium Jun 16, 2026

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.

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Medium May 30, 2026

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.

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Medium May 29, 2026

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.

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Clause Stability Mostly Stable

1
Change
1
Month Monitored
May 12, 2026
First Seen
May 20, 2026
Last Seen
This clause type exists across 646 other provisions on other platforms.
This clause has changed once in 1 month of monitoring.

Change history

removed May 23, 2026

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 →

Consumer impact (what this means for users)

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

DoorDash Medium

(g) You will not use or attempt to use the Services or content accessible through the Services without DoorDash's prior written consent in connection with the development of any software program, including, but not limited to, training a machine learning or artificial intelligence (AI) system or pro...

Shopify Medium

You may not use the Shopify Services to offer, sell, or facilitate the sale of: Counterfeit goods: Sale of counterfeit goods or use of another's intellectual property without authorization or in a manner that otherwise infringes on another's intellectual property rights.

Instacart Medium

By submitting content to the Services, you grant Instacart a non-exclusive, worldwide, royalty-free, sublicensable, and transferable license to use, reproduce, modify, adapt, publish, translate, create derivative works from, distribute, and display such content in connection with operating and impro...

See all platforms with this clause type →

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▸ View Original Clause Language DOCUMENT RECORD
"
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

ConductAtlas Analysis

Institutional analysis (Compliance & governance intelligence)

(1) REGULATORY LANDSCAPE: This restriction is primarily a contractual obligation rather than one directly mandated by regulation. It may interact with competition law frameworks in the EU and UK where exclusive licensing or output restriction terms in AI infrastructure markets are under increasing scrutiny by the European Commission and the UK Competition and Markets Authority, though whether this specific clause would attract regulatory challenge is uncertain and jurisdiction-dependent. (2) GOVERNANCE EXPOSURE: Medium. The clause creates operational exposure for organizations with internal AI research and development teams that use Bedrock outputs in any model training or evaluation pipeline. The scope of what constitutes a competing service is not exhaustively defined in the document, creating interpretive uncertainty about whether internal-use-only models trained on Bedrock outputs fall within the restriction. (3) JURISDICTION FLAGS: EU and UK competition law jurisdictions create heightened scrutiny of output restriction clauses in platform service agreements. The clause applies globally to all Bedrock customers regardless of geography. (4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams acquiring Bedrock for AI development organizations should flag this clause for legal review before executing the agreement, particularly if the organization has existing or planned foundation model development programs. The restriction may represent a standard commercial term but its practical scope requires case-by-case assessment against specific MLOps architectures. (5) COMPLIANCE CONSIDERATIONS: Legal teams should map existing model development pipelines to identify any workflows that receive Bedrock inference outputs and subsequently use them in training data preparation; where such workflows exist, legal guidance on whether they constitute development of a competing service under the clause definition should be obtained prior to continued operation.

Full compliance analysis

Regulatory citations, enforcement risk, and due diligence action items.

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Applicable agencies

  • FTC
    The FTC has jurisdiction over unfair or deceptive trade practices in AI services and may evaluate restrictions on competitive use of AI outputs under its consumer protection and competition mandates.
    File a complaint →

Provision details

Document information
Document
AWS Service Terms
Entity
AWS Bedrock
Document last updated
May 5, 2026
Tracking information
First tracked
May 12, 2026
Last verified
May 12, 2026
Record ID
CA-P-011410
Document ID
CA-D-00648
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
880a4da359a0dff037c3d51956decd29ac6fa13b72df323303ce916dc8798c62
Analysis generated
May 12, 2026 09:51 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: AWS Bedrock
Document: AWS Service Terms
Record ID: CA-P-011410
Captured: 2026-05-12 09:51:22 UTC
SHA-256: 880a4da359a0dff0…
URL: https://conductatlas.com/platform/aws-bedrock/aws-service-terms/prohibition-on-training-competing-models-with-bedrock-outputs/
Accessed: June 27, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does AWS Bedrock's Prohibition on Training Competing Models with Bedrock Outputs clause do?

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.

How does this clause affect you?

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.

Is ConductAtlas affiliated with AWS Bedrock?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.