Quick Facts
- Amazon requires third-party sellers to tag photorealistic AI-generated people in listing images under New York’s synthetic performer disclosure law.
- 74% of consumers say retailers should disclose AI-generated content, but only 26% of brands currently do so.
- Disclosed AI ads produced a 47% lift in ad appeal, a 73% lift in ad trustworthiness, and a 96% lift in overall company trust, according to new research.
Amazon is forcing the issue on AI imagery disclosure. The company now requires third-party sellers to embed the keyword contains-synthetic-performer in the XMP metadata of any listing image or A+ content featuring photorealistic AI-generated people. Amazon will then surface a shopper-facing indicator on those listings.
The mandate follows New York’s synthetic performer disclosure law. Third-party sellers account for more than 60% of units sold on Amazon’s platform, and a growing number use AI tools, including Amazon’s own, to produce listing images and copy.
The timing matters. Consumer attitudes toward AI imagery are shifting, but trust remains fragile and conditional.
Research cited by Retail Brew shows 60% of shoppers responded neutrally or positively to AI-generated product images, while 31% expressed skepticism. A separate finding showed 71% of consumers said AI and real product images looked the same or had only minor differences.
The sticking point is not quality. It is honesty.
Nearly 90% of consumers globally say they want to know when an image was created using AI. Among U.S. shoppers, 59% want clear labeling on each AI image or an easy-to-find disclaimer. Yet only 26% of brands currently meet that standard, despite 74% of consumers calling disclosure important.
The business case for transparency is quantifiable. Studies show that when consumers notice AI disclosure labels, brands see a 47% lift in ad appeal, a 73% lift in ad trustworthiness, and a 96% lift in overall trust. A 2026 Edelman Trust Barometer report found 68% of online shoppers trust brands more when AI product photos carry disclosure labels.
Barney Stacher, CEO of Stacher and Stacher consultancy, framed the stakes plainly. “Retailers have always adopted new tools when they can reduce costs, increase speed or improve flexibility. AI-generated models offer all three,” he said. “The debate is not really about technology. It is about trust.”
H&M moved early on this front. In June 2025, the retailer debuted photorealistic AI digital twins built from scans of 30 real models. Those models retain ownership of their digital likenesses and can license them to H&M or competing brands. H&M Chief Creative Officer Jorgen Andersson called the program a way to “explore how to showcase our fashion in new creative ways.”
Model Vanessa Moody, one of the participants, described the arrangement as “professional, collaborative and transparent” and said it sets “a precedent for the future of AI.”
Cost economics are accelerating adoption across the industry. Traditional product photography runs $85 to $250 per SKU. AI-generated alternatives cost a fraction of that, making the technology attractive to sellers managing large catalogs.
Generational attitudes complicate the picture for brands running AI-heavy advertising. Klaviyo’s 2025 AI Shopping Index found 40% of consumers say AI assistants improve brand trust. That figure climbs to 55% among millennials and 56% among Gen Z. But the same generation is skeptical of AI in ads: 39% of Gen Z consumers react negatively to AI-generated advertising, compared to 20% of millennials. Most of that Gen Z cohort describes AI-using brands as inauthentic or unethical.
Advertisers, by contrast, associate AI use with innovation and uniqueness. That perception gap between brands and their youngest customers is a risk operators should not ignore.
Overall consumer trust in AI across retail remains split. YouGov research shows 26% of Americans trust AI in retail settings, while 32% do not. Trust is higher for low-stakes tasks like price comparison, where 65% of shoppers are comfortable, but drops to 14% for tasks like placing orders on a shopper’s behalf.
Amazon’s disclosure mandate sets a new floor for the industry. Brands that get ahead of the requirement, rather than waiting to be forced, stand to capture the trust premium the data shows is available.
Read more: Consumers are warming up to AI imagery

