Exploring the Trust Gap in AI-Driven Shopping Transactions: Key Insights

In a rapidly evolving retail landscape, a recent report by Wildfire Systems has shed light on a crucial issue that could influence the future of shopping: the trust gap in AI-assisted transactions. This survey highlights the increasing adoption of AI tools among consumers, yet it simultaneously uncovers a striking reluctance to allow AI to manage financial transactions. This complex relationship between consumers and technology demands a closer examination.

Key Findings from the 2026 Consumer Rewards & Behavioral Shopping Trends Report

According to the survey conducted with 1,007 U.S. consumers, there's a noticeable divide between the enthusiasm for using AI to discover products and the trepidation about allowing AI to execute those purchases. The report titled "Agentic Commerce's Wallet Problem" captures the essence of this trust issue. The data shows that while a significant 71% of U.S. consumers are using AI chatbots—up from just 22% two years ago—an alarming 95% express a lack of confidence in letting AI handle the payment processing should they choose to integrate it into their shopping workflows.

Comparing AI Utilization and Payment Trust

Digging deeper into the numbers reveals that consumers exhibit comfort primarily in using AI for product comparison (56%) and deal hunting (44%). However, the act of allowing AI to complete a purchase raises red flags, with only 10% of respondents granting an AI agent full autonomy to finalize a transaction. This hesitation reflects a broader trend where convenience must be balanced against security and trust. As Mastercard's recent study points out, trust in AI tools remains significantly low when it comes to handling sensitive financial information.

Gradual Adoption of AI in Purchases

Interestingly, the survey also registered an appetite for AI-driven transactions as shown by the demographics willing to delegate their shopping. Approximately 29% of consumers are