AI Drives Retail Discovery and Spending, but Trust Gap Stalls Autonomous Payments

Artificial intelligence is fundamentally altering how Americans discover products and select retailers, though a significant trust gap persists regarding the final transaction. While AI agents successfully guide consumers toward new brands, the majority of shoppers still insist on controlling the final payment authorization.

According to a report from PYMNTS Intelligence, 49.6 million U.S. adults now begin their retail product research using AI. This shift is disrupting traditional search channels, with 39 million of those users moving away from legacy search methods. The impact on brand loyalty is concrete: AI recommendations have introduced 10.8 million consumers to entirely new retailers and pushed 15.9 million toward different brands.

This shift in discovery is translating into higher ticket sizes. Consumers who used AI to discover and try a new retailer spent an average of $1,430 on AI-assisted purchases over a three-month period. This significantly outperforms general AI retail researchers, who averaged $931 in spending over the same timeframe.

The Autonomous Payment Bottleneck

Despite the efficiency of AI in the discovery phase, the transition from "assistive AI" to "agentic AI"—where the software performs the actual task of buying—is hitting a wall. Data shows that while 56% of shoppers are comfortable allowing AI to search for and compare products, only 37% would trust an AI agent to authorize payments on their behalf.

Visa CEO Ryan McInerney attributed this friction to a single factor. "We are seeing adoption for shopping, but not yet for autonomous payments," McInerney stated. "The barrier to that, if I had to describe it in one word, would be trust."

Implications for the Retail Funnel

For merchants, AI has evolved into a critical customer acquisition channel that can bypass traditional SEO and established brand loyalty. However, because the "last mile" of the conversion funnel remains a human-controlled bottleneck, the checkout experience remains the most fragile part of the journey.

Retailers must recognize that while AI can bring a high-spending customer to the door, a seamless, human-facing checkout is still required to close the sale. The ability to bridge this trust gap represents a massive financial opportunity; as evidenced by the spending habits of AI-acquired customers, those who trust the AI-driven journey tend to spend more.

The Path to Agentic Commerce

To resolve this impasse, payment networks are beginning to build the necessary security infrastructure. Mastercard, for example, is developing Agent Connect to provide a trusted layer for authorized autonomous transactions, aiming to give consumers the security they need to relinquish the "buy" button.

Industry observers will be watching whether these infrastructure plays can move the needle on the 37% authorization rate. Until a trusted standard for autonomous payments is established, AI will remain a powerful tool for discovery and research, while the final click remains firmly in human hands.