AI Answer Summary
Amazon announced on 23 July 2026 that third-party sellers must label product images and A+ content featuring photorealistic AI-generated people with specific IPTC-compatible metadata before uploading. The requirement follows New York's synthetic performer disclosure law, which took effect on 9 June 2026 and carries civil penalties of $1,000 for a first violation and $5,000 for each subsequent one. Amazon will also add a shopper-facing indicator to qualifying listings. The compliance decision and the brand decision are now attached to the same asset.
What Amazon Actually Announced
On 23 July 2026, Amazon notified third-party sellers that any product images or videos featuring "photorealistic AI-generated people" must carry specific metadata keywords before being uploaded to listings or A+ content modules. The announcement, reviewed by CNBC, stated that "recent legislation requires disclosure when images or videos in advertisements contain photorealistic AI-generated people."
Two exclusions matter for creative teams. The requirement does not cover fictional characters from film, television, or video games. It also does not cover real people whose appearance has been altered using AI. A synthetic bystander in a lifestyle scene, however, falls inside the definition alongside a synthetic hero model.
Amazon also announced it will "add an indicator" to qualifying listings on its website, informing shoppers that images or other content feature AI-generated people. The criteria Amazon will apply when deciding when to display the label to shoppers have not been detailed publicly.
The Law Behind the Requirement
New York's synthetic performer disclosure law was signed by Governor Kathy Hochul in December 2025 and took effect on 9 June 2026. Hochul described it as a "first-in-the-nation" law. It amends General Business Law § 396-b and applies to advertisements in any medium.
The statute defines a synthetic performer as a digital asset created, reproduced, or modified by computer using generative AI or a software algorithm, intended to give the impression of a human performance by someone who is not recognisable as an identifiable person. Anyone who produces or creates a covered advertisement and knows it contains a synthetic performer must conspicuously disclose that fact.
The statute reaches distribution as well. A publisher or distributor put on notice of an undisclosed synthetic performer has five days to remove the ad or bring it into compliance. The penalties are $1,000 for a first violation and $5,000 for each subsequent one.
The definition also explains the shape of the carve-outs. Digital replicas of identifiable real people sit outside the synthetic performer definition, with separate right-of-publicity and digital replica laws governing that use. Advertisements for expressive works are excepted where the synthetic performer's role matches the underlying film, show, or game.
The Performance Case and the Label Sit on the Same Asset
Amazon markets generative AI creative tools to the same sellers now responsible for tagging. The company reports that Sponsored Brands campaigns using AI-generated images delivered 10.3% higher return on ad spend than campaigns without them, that brands using its AI creative tools advertised five times as many products, and that advertisers who adopted its Sponsored Brands image generator saw 10% more sales per advertiser per month after adoption. Those figures come from Amazon's own internal US measurements across 2024 and 2025.
Third-party sellers account for more than 60% of units sold on the Amazon marketplace, and AI lifestyle imagery has become routine among them because it costs a fraction of a photo shoot and turns around in hours rather than weeks. The disclosure requirement lands on exactly that inventory. For marketing leaders, the efficiency case and the disclosure decision now attach to the same asset, which makes this a creative budgeting question as much as a compliance one.
What AI Labels Do to Shoppers
The available evidence on labels points one direction, with caveats worth reading closely. In a 2×2 experiment published in Equilibrium in December 2025, Khalil Israfilzade of Vytautas Magnus University found that advertisements labelled as AI-generated drew lower consumer trust and purchase intent than those labelled human-made, with the gap widest for high-involvement products such as laptops.
Broader label research suggests the penalty may not track actual deception. In two preregistered experiments with 4,976 US and UK participants published in PNAS Nexus, Sacha Altay and Fabrizio Gilardi found that labelling headlines as AI-generated lowered perceived accuracy and willingness to share them regardless of whether the headline was true or human-written. The effect was roughly a third the size of labelling a headline false, and the authors traced it to an assumption of full automation with no human oversight. They also caution that the finding was tested on headlines and may not generalise to images or video.
The practical read for a CMO is that a shopper-facing indicator functions as a conversion variable, not only a compliance artefact, and that it likely behaves differently by category. A $14 phone case and a $1,400 mattress do not invite the same scrutiny.
The Workflow This Creates
The announcement creates five concrete steps for marketing and e-commerce teams.
Audit the catalogue. Identify which ASINs use synthetic human figures, starting with highest-traffic listings and main images, then A+ modules and brand store pages. The scope is broader than most teams initially estimate because background figures count under the New York statute.
Move tagging upstream. Metadata belongs in asset production, not a post-upload cleanup pass. Teams working with agencies or freelancers can make identification of synthetic elements a delivery requirement and allocate tagging responsibility and liability in the contract.
Keep creative records. Because the statute turns partly on intent and knowledge, briefs and prompts specifying a mannequin, cartoon, or abstract avatar document that an asset was never meant to read as a human performer.
Choose the creative lane per category. Product-only imagery, real models with proper releases, and synthetic models carry different costs and different disclosure outcomes. AI-generated backgrounds behind a real model sit outside the synthetic performer trigger, which makes hybrid production a strategy rather than a compromise. New York's Fashion Workers Act separately requires written consent before creating or using an AI digital replica of a model.
Test the route, not the label. Brand Registry sellers can compare product-only, human-model, and synthetic-model creative through Amazon's experiment tooling. The indicator itself is not a variable a seller controls.
Where the Patchwork Goes Next
New York is first rather than last. TikTok's Shop guidance directs sellers to label content fully or substantially created or altered by AI. YouTube began automatically applying AI labels in May 2026 when its systems detect significant photorealistic AI use. California's AI Transparency Act, as amended by AB 853, becomes operative on 2 August 2026, with large online platform duties beginning 1 January 2027 that include a prohibition on knowingly stripping compliant provenance data from uploaded content.
Federal direction remains unsettled. Tech Policy Press counts 109 state AI laws enacted through 1 July 2026, while the December 2025 executive order on a national AI framework created a Justice Department litigation task force to challenge state AI rules and directed Commerce to review them. No federal statute currently preempts state disclosure requirements, and firms advising advertisers have generally recommended continued compliance with state law while the question is litigated.
The European Union's AI Act Article 50 compliance is scheduled for August 2026, requiring AI-generated content and deepfakes to carry clear, machine-readable labels. Provenance metadata is built to travel with the file, so an untagged asset can still carry a signal downstream.
The B2B Implication
For B2B brands that sell through Amazon or run advertising on platforms subject to synthetic performer disclosure rules, the immediate action is a catalogue audit. The broader implication is that AI content governance is moving from a voluntary best practice to a legal requirement, and the compliance infrastructure — metadata tagging, creative records, contract clauses — needs to be built into production workflows rather than retrofitted after the fact.
The question has shifted from whether AI imagery is cheaper to which images can afford a label. That is a brand decision, and it is a better one to make before shoppers see the indicator than after.
Frequently Asked Questions
What is Amazon's new AI-generated people disclosure requirement? Amazon announced on 23 July 2026 that third-party sellers must label any product images or videos featuring photorealistic AI-generated people with specific IPTC-compatible metadata keywords before uploading to listings or A+ content. Amazon will also add a shopper-facing indicator to qualifying listings. The requirement does not apply to fictional characters from film, TV, or video games, or to real people whose appearance has been altered by AI.
What is New York's synthetic performer disclosure law? New York's synthetic performer disclosure law took effect on 9 June 2026. It amends General Business Law § 396-b and requires conspicuous disclosure when advertisements in any medium feature a synthetic performer — defined as a digital asset created by generative AI or algorithm intended to give the impression of a human performance by someone not recognisable as an identifiable person. Civil penalties are $1,000 for a first violation and $5,000 for each subsequent one. Background figures in lifestyle scenes are covered.
Does the Amazon requirement apply to AI-altered images of real people? No. The requirement applies to photorealistic AI-generated people who are not recognisable as identifiable real individuals. Real people whose appearance has been altered using AI sit outside the synthetic performer definition under the New York statute. Separate right-of-publicity and digital replica laws govern the use of AI-altered images of identifiable real people.
What does the research say about AI labels and consumer trust? A December 2025 study published in Equilibrium found that AI-labelled advertisements drew lower consumer trust and purchase intent than human-made labels, with the gap widest for high-involvement products. A separate PNAS Nexus study with 4,976 participants found that AI labelling lowered perceived accuracy regardless of whether content was true or human-written, tracing the effect to an assumption of full automation with no human oversight. The practical implication is that the shopper-facing indicator functions as a conversion variable, not only a compliance artefact, and its effect likely varies by product category.
Which other platforms require AI content labelling? TikTok Shop requires labelling of content fully or substantially created or altered by AI. YouTube began automatically applying AI labels in May 2026 when its systems detect significant photorealistic AI use. California's AI Transparency Act becomes operative on 2 August 2026. The EU AI Act Article 50 compliance is scheduled for August 2026, requiring machine-readable labels on AI-generated content. No US federal statute currently preempts state disclosure requirements.
What should marketing teams do now to comply with Amazon's requirement? Audit the catalogue to identify ASINs using synthetic human figures, starting with highest-traffic listings. Move metadata tagging upstream into asset production rather than post-upload cleanup. Keep creative records — briefs and prompts — documenting that assets were not intended to read as human performers. Choose the creative lane per category: product-only imagery, real models, and synthetic models carry different disclosure outcomes. Use Amazon's Brand Registry experiment tooling to test creative approaches, noting that the shopper-facing indicator is not a variable sellers control.
Modi Elnadi is the founder of Integrated.Social, a London-based AI growth marketing agency specialising in Answer Engine Optimisation, Agentic AI, and AI-native B2B demand generation.
