What's Happening?
New research conducted by YouGov on behalf of ACI Worldwide reveals that only 7% of fashion and sportswear consumers in the United States and United Kingdom currently trust artificial intelligence (AI) to make purchasing decisions for them without approval.
While consumers are increasingly open to AI tools that help them find better value, such as price drop alerts and cross-retailer price comparisons (each favored by 35% of respondents), they prefer to maintain control over final buying choices. The survey, which included over 3,300 consumers, indicates a clear distinction in consumer perception: AI is valued for informing purchases but not for executing them independently. Marie Driscoll, president of the Retail Marketing Society, noted that price tools succeed because they offer insight without removing control, whereas handing over a fashion purchase decision to an AI agent represents a much larger leap of faith for consumers.
Why It's Important?
This research highlights a critical challenge and opportunity for the U.S. retail and technology sectors as 'agentic commerce'—where AI agents make autonomous purchasing decisions—begins to emerge. The low trust in AI for direct purchasing, despite high interest in AI for value-finding, indicates that merchants must prioritize building confidence through transparency, control, and robust security measures. For businesses investing in AI-driven retail solutions, this means focusing on tools that empower consumers rather than fully automating their choices. The findings suggest that the widespread adoption of agentic commerce will depend heavily on the development of secure, intelligent payment infrastructures that can manage risk and ensure reliable transactions, as emphasized by Adriana Iordan, global head of merchant product management and payment intelligence at ACI Worldwide. Failure to address these trust and control issues could hinder the growth of AI-powered purchasing systems in the fashion industry and beyond, impacting investment in retail technology and consumer adoption rates.
What's Next?
To bridge the trust gap, merchants and payment providers will need to focus on developing AI solutions that offer greater transparency, control, and security to consumers. This will likely involve implementing advanced authentication, authorization, and fraud control mechanisms to ensure that AI-driven transactions are perceived as secure and reliable. The immediate future will likely see continued growth in AI tools that assist consumers in finding better deals and personalized recommendations, but with the final purchase decision remaining with the human shopper. As agentic commerce evolves, the industry will need to invest in technologies that provide real-time risk management and payments intelligence to support these new purchasing models. Retailers may also explore hybrid AI models that allow consumers to set clear parameters and approvals for AI-driven purchases, gradually building confidence over time. The success of AI in fashion commerce will depend on its ability to enhance the shopping experience without eroding consumer autonomy.
Beyond the Headlines
The findings from this research delve into the psychological and ethical dimensions of consumer trust in artificial intelligence, particularly concerning financial autonomy. The reluctance of consumers to cede purchasing decisions to AI, even while embracing AI for information gathering, underscores a fundamental human desire for control over personal finances and consumption choices. This dynamic raises questions about the future of consumer agency in an increasingly automated world. From an ethical standpoint, the development of agentic commerce must consider how to design AI systems that are not only efficient but also transparent and accountable, ensuring that consumers understand how decisions are made and retain the ability to intervene. The challenge for the tech and retail industries is to move beyond mere convenience and build AI that fosters genuine trust, potentially leading to new regulatory frameworks or industry standards for AI-driven purchasing. This shift could also influence how personal data is collected and utilized, as consumers demand greater assurances about the security and privacy of their financial information when interacting with AI.
