亚马逊发布商品展示新规：AI生成的人像内容必须添加指定元数据

This article centers on Amazon's updated product display policy across its global marketplaces, which introduces new labeling requirements for AI-generated human imagery. Key takeaways are as follows:

1. The update was introduced in response to newly enacted advertising regulations that require disclosure of photorealistic AI-generated human imagery to consumers, prompting Amazon to align its platform-wide rules with the new legislation.

2. The scope of the rule is clearly defined: labeling is only required for product images, videos, A+ Content and other product-facing assets that contain photorealistic AI-generated human figures. No labeling is needed for photos of real people (even when edited with AI), content without human figures, non-photorealistic human imagery, or depictions of film and game characters.

3. The labeling method is specified: sellers must add designated keywords to a specified field using an IPTC-compatible metadata editor. After labeling is completed, Amazon will display a uniform disclosure notice to consumers.

Amazon's new rule has significant implications for brands operating on its global marketplaces, requiring brands to adjust their content marketing compliance processes. Key takeaways are as follows:

1. Core compliance requirements are clear: brands using photorealistic AI-generated human imagery in product displays must complete required labeling. Non-compliant content will not be approved for publication, which will hurt product traffic and conversion, and even damage brand reputation.

2. Clear scope reduces compliance costs: brands do not need to label all AI-edited content. Only purely AI-generated photorealistic human imagery requires labeling, so the rule will not add unnecessary burden to content production.

3. The new rule reflects shifting consumer and regulatory trends in global advertising: requirements for AI-generated content transparency are rising across markets. Brands should proactively establish AI content compliance review mechanisms to adapt to tightening regulation and mitigate compliance risk.

This new rule applies to all of Amazon's global marketplaces. Sellers need to understand the requirements promptly to avoid operational risks. Key takeaways are as follows:

1. Core policy interpretation: the rule only regulates product display content containing photorealistic AI-generated human imagery, and does not over-restrict sellers' normal use of AI tools. Most content requires no additional action.

2. Operational requirements are straightforward: sellers only need to add the designated keywords to the specified field via the required type of editor before uploading the relevant content. The process has a low barrier to entry.

3. Risk and opportunity notes: unlabeled content will not be displayed normally, which directly hurts product exposure. Sellers should audit their pending and live content as soon as possible and complete required compliance updates. The rule also signals the platform is tightening AI content regulation, and more related rules may follow. Sellers should monitor official updates closely and adjust operational strategies proactively.

This new rule offers key insights for factories that supply Amazon sellers and operate their own direct-to-consumer e-commerce channels. Key takeaways are as follows:

1. New business opportunities: for factories that offer end-to-end supply services including product display content to brands, mastering the new compliance requirements allows them to offer compliant content services to brand clients, boost competitive advantage, and win more合作订单.

2. Guidance for digital transformation: when factories pursue e-commerce and digital transformation by launching their own direct-to-consumer brands, they often use AI to generate marketing content to cut costs and improve efficiency. They should proactively adapt to platform compliance requirements and establish compliance review processes to avoid disruptions to store operations from violations.

3. Clear rule scope means no over-adjustment of production and content strategies is needed: the rule only targets photorealistic AI-generated human imagery, and will not affect normal product production and design, nor change requirements for most content production. Factories only need to make targeted adjustments to their AI content production workflows.

Amazon's new rule brings new business opportunities and requirements for service providers that serve Amazon merchants. Key takeaways are as follows:

1. Industry trend perspective: global regulation of AI-generated content has moved from legislation to platform implementation, and more platforms are expected to introduce similar rules. Service providers should track regulatory trends closely and adjust their service offerings to match market demand.

2. Clear client pain points: many small and medium-sized sellers do not know how to complete required metadata labeling, add keywords to the specified field, or lack the necessary tools and technical capabilities, creating clear demand for compliance services.

3. Service providers can develop targeted solutions: on one hand, they can help merchants sort out compliance requirements to distinguish between content that needs labeling and content that does not. On the other hand, they can launch standardized AI content labeling services to help merchants complete compliance procedures, address client pain points, and expand their business scope.

Amazon's new AI content rule offers a valuable reference for rulemaking and operations management for global e-commerce platforms. Key takeaways are as follows:

1. AI-generated content is now a standard tool for merchants creating marketing materials, so platforms must align with national legislative requirements and introduce appropriate compliance rules in a timely manner to meet regulatory requirements and mitigate the platform's own compliance risk.

2. Amazon's rule design is worth referencing: it does not ban merchants from using AI content outright, and clearly defines the scope of regulation by only requiring disclosure for photorealistic AI-generated content that mandates disclosure. This balances regulatory requirements with merchants' need to use AI for efficiency gains, and does not excessively increase merchants' compliance costs.

3. When rolling out new rules, platforms should provide clear operational guidance for merchants, clarify labeling methods and requirements, and lower the barrier to compliance. At the same time, AI content disclosure boosts consumer trust in platform content, attracting more compliant merchants to onboard and achieves a win-win outcome for platforms, merchants and consumers.

Amazon's new rule reflects new trends in e-commerce and regulation in the AI era, and carries high research value. Key takeaways are as follows:

1. New industrial trends: global AI governance has moved from the legislative stage to commercial implementation. As core carriers of advertising and product content, e-commerce platforms have begun to enforce disclosure requirements for AI-generated content, making AI content compliance a key new direction for digital economy development.

2. The new rule provides a high-quality research sample: it clearly divides the boundary between content that requires regulation and content that does not, and tests a workable framework for AI content disclosure, offering a real-world business case for research on the appropriate scope of AI governance.

3. The new rule also raises many new research questions: for example, the definition of platform responsibility in AI content governance, consumer acceptance of AI content disclosure, and differentiated regulatory requirements for AI content across different use cases. It also provides a new research object for studying how business models adapt to regulatory requirements in the digital economy.