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This article outlines the core details and practical guidance for Amazon’s new mandatory labeling rule for AI-generated content, which will take effect globally in July 2026:

1. Core requirements: Any image or video containing AI-generated photorealistic humans, even partial body parts, must be tagged with specified metadata. Four exemptions are clearly defined: AI-retouched photos of real people, film/game characters, content featuring no humans, and non-photorealistic human depictions.

2. Practical implementation and pitfalls: Windows users can add the required keywords directly in the file properties tag field; for bulk processing, Photoshop or ExifTool can be used to improve efficiency. Two common pitfalls to note: edited AI-generated images still require labeling, and tags will not be recognized by Amazon’s system if placed incorrectly.

3. Guidance for existing content: Amazon has not yet issued clear requirements for retroactive labeling of existing content. Most customer service responses indicate that old images do not need modification for now, so sellers do not need to rush large-scale overhauls and should just monitor future official updates.

This new Amazon rule has a significant impact on the marketing operations of cross-border brands. Below is a summary tailored to brand-focused compliance and trend considerations:

1. Background and trend: The new rule is Amazon’s response to New York State’s Synthetic Content Disclosure Act. Currently, all major global platforms including Meta, TikTok and YouTube have introduced similar AI content labeling requirements. AI content compliance has become a global trend, and brands must adapt to new regulatory requirements in advance.

2. Scope of impact: Brands in apparel, jewelry, beauty, home goods and other categories that heavily use AI-generated models for product content will be most directly affected. Violators face maximum fines of $5,000 per violation, so compliance costs cannot be overlooked.

3. Recommendations for brands: Brands should update internal content creation and review protocols promptly, implement labeling requirements at the image production stage, and maintain an asset log to track the attributes of each creative asset to avoid violations and adapt to the new regulatory environment proactively.

Below is a breakdown of the new rule, including policy interpretation, risk warnings and coping strategies tailored for sellers:

1. Core policy interpretation: For all sellers across all global Amazon marketplaces, any image or video uploaded after July 23, 2026 that contains AI-generated photorealistic humans must include the specified metadata tag, and Amazon will automatically display the label to buyers. Amazon has not clarified whether existing content requires retroactive labeling: most customer service representatives state that old content does not need modification for now, while a small number require updates for all existing content.

2. Risk warnings: There are two common violation pitfalls: first, edited AI-generated images still require labeling; second, incorrectly placed tags will not be recognized by the system, which counts as unlabeled content. Violators face maximum fines of $5,000 per violation.

3. Recommendations for sellers: Do not rush large-scale overhauls of existing content, and simply monitor official updates. Implement labeling requirements for all new content during the production process, use professional tools for bulk processing to improve efficiency, and establish a standardized spreadsheet to manage creative assets.

Below are the key takeaways and opportunities brought by this new rule for cross-border manufacturing factories:

1. Impact and demand: Many factories with their own direct-to-consumer cross-border channels use AI-generated models and scene images to cut marketing costs. This new rule only requires labeling, not a ban on AI-generated content, so it will not disrupt factories’ cost-reduction strategies. Compliance only requires correct implementation of labeling requirements.

2. Insights for digital transformation: AI content compliance is an established global trend. As factories digitize their e-commerce operations and adopt AI tools to cut operational costs, they must also build a compliant creative asset management system in parallel to avoid compliance issues that disrupt store operations and lead to net losses.

3. New business opportunities: The new rule raises the bar for content compliance, raising the compliance cost for small and medium-sized sellers that handle this work independently. Factories capable of building a standardized compliant content system will gain a greater competitive advantage both when supplying third-party sellers and operating their own brand, and can also expand into new business lines offering compliant content services.

Below is a summary of industry trends and business opportunities for cross-border e-commerce service providers:

1. Industry trend: AI-generated content has already achieved mass adoption in cross-border e-commerce marketing. This has been followed by a global wave of AI content regulation; in addition to Amazon, all major overseas platforms have introduced AI content labeling requirements. AI content compliance will become a long-term, rigid demand across the cross-border e-commerce industry.

2. Core customer pain points: Most small and medium-sized sellers are unfamiliar with labeling rules, lack efficient tools for bulk labeling of AI assets, and face confusion over how to handle existing content. Their compliance needs are currently unmet.

3. New business directions: Service providers can develop targeted products including bulk AI asset labeling tools and compliant content management systems, as well as offer services such as rule consultation and existing content auditing for sellers. This is a new growth opportunity driven by regulation that meets sellers’ unaddressed compliance demand.

Below is key reference information from Amazon’s new rule for other e-commerce platforms:

1. Background and implementation logic: Amazon’s new rule is a proactive response to local regulatory requirements. It adopts a model where sellers add metadata and the platform uniformly displays labels to consumers, which meets regulatory requirements for AI content disclosure without placing excessive burden on sellers, balancing compliance and user experience — an approach worth reference for other platforms.

2. Risk mitigation: Multiple countries and regions around the world are advancing AI content regulation legislation. Platforms that fail to update their rules in a timely manner face local compliance risks and even regulatory penalties. Platforms need to proactively track regulatory developments around the world and adjust platform rules in advance.

3. Operational insights: In the initial rollout phase of new rules, sellers are prone to misunderstanding requirements. Platforms need to clarify rule details, especially requirements for existing content, and provide clear, actionable step-by-step guidance to lower sellers’ compliance costs, reduce seller confusion, and enable smooth rollout of the new rule.

Below is a summary of key new industry and policy trends for industry and policy researchers:

1. Industry developments: AI-generated content has already penetrated deeply into cross-border e-commerce marketing, with multiple categories including apparel and beauty adopting AI models at scale to cut marketing costs. Regulation has followed the mass adoption of AI, and compliance is an inevitable development direction for AI applications in e-commerce that will not reverse the broader trend of AI replacing traditional photoshoots.

2. Policy and regulatory developments: The U.S. now has the first state-level legislation mandating disclosure of AI-generated synthetic people, forming a regulatory transmission path of local legislation followed by platform rule implementation. Amazon’s proactive adoption of the rule provides a typical case study for researching the implementation of global AI content regulation, and offers a reference for future regulation in other countries.

3. Impact on business models: This regulation only requires disclosure of AI-generated content, not a ban on AI use, indicating that regulators recognize the commercial value of AI and only seek to standardize its development. This will push the AI+e-commerce business model toward mature, compliant operations, which benefits long-term healthy development of the industry.