The AI Shopping Trap: New Report Reveals a Major Trust Gap in Commerce

SAN FRANCISCO, CA – May 28, 2026 – A structural imbalance is quietly forming at the heart of the next e-commerce revolution. As consumers begin to delegate their shopping to autonomous AI agents, a new report reveals a startling readiness gap: the vast majority of online merchants are unprepared for this new era, creating a fertile ground for risk, unreliability, and a potential crisis of trust.

The findings come from Ballerine, a merchant risk and compliance platform, which today unveiled Agenticom.org, an industry hub aimed at confronting this challenge. Based on dozens of interviews with payment providers, merchants, and AI platforms, their research indicates that 73% of online sellers are not “agent-ready,” leading to a situation where AI agents are already recommending unreliable merchants to users.

An Exploding Market on Shaky Ground

Agentic commerce, where AI agents act independently to research, negotiate, and purchase goods on a user’s behalf, is no longer a futuristic concept. It's an exploding market poised to fundamentally reshape how trillions of dollars are spent. Projections from firms like Bain & Company suggest agentic commerce could capture up to 25% of the U.S. online retail market, representing as much as $500 billion in spending by 2030. Globally, some analysts see a potential $5 trillion market within the same timeframe.

This explosive growth is fueled by consumer demand for hyper-personalized, effortless experiences. Adobe data shows that over half of Millennial and Gen Z shoppers are already using or plan to use AI for shopping. These agents promise to sift through millions of products, compare complex specifications, and execute transactions with an efficiency no human could match. Yet, this entire paradigm rests on a critical assumption: that the AI can trust the information it receives from merchants.

Ballerine's research suggests this assumption is deeply flawed. The demand for agentic commerce is reportedly growing an order of magnitude faster than the supply side's ability to support it safely. This mismatch is where risk accumulates, threatening to undermine the very trust this new form of commerce needs to thrive.

The Merchant Readiness Gap

According to Ballerine's findings, the problem lies in the digital infrastructure of most online businesses. For an AI agent to function effectively, it needs more than just a human-readable website. It requires structured, machine-readable product data, clear verification signals, transparent operational policies, and a robust trust framework. The report finds that nearly three-quarters of merchants lack these essential components.

Without this structured information, AI agents are effectively flying blind. They may struggle to accurately compare products, verify a merchant's legitimacy, or confirm inventory and shipping details. The consequence is that agents, in their quest to fulfill a user's request, may default to recommending or purchasing from merchants who are unreliable, non-compliant, or even fraudulent.

“Agentic commerce will not scale on buyer intelligence alone,” said Noam Izhaki, Co-founder and CEO of Ballerine, in the announcement. “Our research highlights a clear readiness gap across the ecosystem. As agents begin to participate more directly in transactions, they need to account for more than just product discovery. Merchant readiness, compliance, and operational risk all become part of the decisioning layer.”

Izhaki stressed that the responsibility extends to how agents represent products. “Equally important, agents need to represent products in a way that aligns expectations between users and merchants. Agenticom.org was created to make these gaps visible and give the ecosystem a shared reference point for what needs to be built next.”

Building the Rails for a New Economy

In response to this growing challenge, Ballerine has launched Agenticom.org as an open, collaborative resource. The initiative aims to be a central hub for research, expert analysis, and ecosystem mapping, providing tools for founders, payment providers, and risk leaders to navigate this new terrain. A key feature is 'The Agentic Commerce Stack,' an industry map designed to track the companies and technologies building the infrastructure for autonomous commerce, from checkout protocols to seller-side trust providers.

The initiative joins a broader industry movement to build the foundational “rails” for AI-driven commerce. Tech giants are also recognizing the need for standardization. OpenAI and Stripe have collaborated on an Agentic Commerce Protocol (ACP), which powers ChatGPT's Instant Checkout, while Google is developing its own Universal Commerce Protocol (UCP). These protocols aim to create a common language for how AI agents and merchants communicate and transact securely.

Agenticom.org seeks to address the trust layer on top of this technical infrastructure. The site will feature industry news, trend spotlights on liability gaps and technical standards, and interviews with the leaders building the future of AI-mediated commerce. By mapping the problem and fostering collaboration, the initiative hopes to help the industry build a more resilient and trustworthy ecosystem before the readiness gap becomes an unmanageable chasm.

As AI agents become more integrated into daily life, the question of who to trust online becomes more complex. The responsibility for a bad purchase could soon be spread between the user, the agent's developer, and the merchant. Addressing the underlying data and verification issues is a critical first step, but it also opens a broader conversation about regulation, liability, and the ethical guardrails needed to protect consumers in an automated world.