Consumers are becoming more familiar with AI-generated advertising but remain skeptical about whether the products shown in those ads accurately represent what they will receive, according to a global study commissioned by Auros and conducted by Talker Research. The findings highlight a growing challenge for advertisers and retailers: using generative AI to scale creative production without undermining consumer confidence in product authenticity.
The study surveyed 4,000 adults across the United States, United Kingdom and Australia. Nearly half of respondents in each market said they had previously felt misled by products advertised using AI. The proportion was 47% in the U.K., 43% in the U.S. and 42% in Australia.
Doubts extended to product descriptions. A majority of respondents in all three countries said they did not trust AI-advertised products to be described accurately, including 58% in the U.K., 53% in the U.S. and 59% in Australia.
The findings suggest that the advertising industry’s growing use of generative AI introduces a challenge beyond production efficiency: consumers must be able to distinguish creative enhancement from a misleading representation of the product being sold.
AI Creative Raises Questions About Authenticity
The survey found that 50% of U.K. respondents, 47% of Australians and 44% of Americans regularly encounter products advertised using AI. Respondents also reported questioning whether online advertisements feature real or AI-generated products several times a week.
Perceptions of quality were another concern. Some 42% of respondents in both the U.K. and Australia, and 36% in the U.S., associated AI use in marketing with lower product quality. Meanwhile, 48% of British respondents, 45% of Australians and 44% of Americans said they deliberately sought out brands that do not use AI in advertising.
The research also points to a consumer identification problem. Although many respondents said they felt confident distinguishing real product images from AI-generated ones, they frequently misidentified images during the study. Only 18% of British respondents, 20% of Americans and 20% of Australians correctly identified real products that had been heavily enhanced using AI.
For advertisers, this distinction matters. Generative tools can alter backgrounds, lighting, styling and other visual elements, while fully synthetic imagery can depict products that do not exist in the form presented. The survey does not establish that AI-generated creative is inherently misleading, but it illustrates the potential gap between consumer expectations and visual presentation.
Consumers Welcome AI When It Helps Them Shop
The results show a different attitude toward AI used as a shopping assistant. More than half of respondents in the U.K. (56%) and U.S. (53%) said AI had helped them while shopping, compared with 48% in Australia.
Reported benefits included finding lower prices, locating product reviews and identifying alternative products. For example, 24% of American and British respondents said AI had helped them find the most affordable price, while 22% of respondents across all three markets said it had helped them discover alternatives.
Interest is also extending to holiday shopping. A majority of respondents in the U.K. (55%) and U.S. (54%), alongside 48% in Australia, planned to use AI for some part of their holiday shopping. Common intended uses included price comparisons, review research, gift discovery and deal finding.
Auros Vice President of Marketing Bobby Meixner described the results as a divide between AI used to persuade consumers and AI used to help them make decisions.
Market Landscape
For the advertising ecosystem, the findings raise questions about how brands should govern AI-assisted creative across campaigns, retailers and digital channels. Programmatic platforms can distribute creative at scale, but distribution and optimization do not independently verify whether product imagery or claims accurately reflect what is being advertised.
Advertisers and agencies may need clearer review processes for synthetic imagery, product descriptions and creative variations. Retailers also have a commercial interest in ensuring that advertising aligns with product pages, inventory and customer expectations. These are strategic implications of the findings, not outcomes directly measured by the survey.
The study was commissioned by Auros, a company focused on human input for AI, and the supplied announcement does not establish whether its findings represent all consumers or advertising categories. Its results should therefore be treated as directional evidence of attitudes in the three surveyed markets rather than a universal measure of AI advertising trust.
Strategic Outlook
The research suggests that consumer acceptance of AI in commerce may depend partly on its role in the shopping journey. AI-powered discovery and comparison tools can help people navigate choices, while AI-generated advertising faces greater scrutiny when shoppers question whether a product is authentic or accurately depicted.
For brands, the practical priority is not necessarily to avoid AI-generated creative, but to maintain product accuracy, apply human review where appropriate and avoid imagery that creates expectations the real product cannot meet. As AI-assisted advertising expands, trust and transparency could become important differentiators alongside creative speed and campaign efficiency.
Top Insights
- At least 42% of respondents in each surveyed market said they had felt misled by products advertised using AI.
- More than half in the U.S., U.K. and Australia expressed doubts about the accuracy of AI-advertised product descriptions.
- Real products enhanced with AI imagery were difficult for many participants to identify correctly.
- Consumers reported practical benefits from using AI to compare prices, reviews and alternatives.
- The survey points to a distinction between AI as an advertising tool and AI as a consumer shopping assistant.
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