When AI agents start shopping for us, who actually wins — shoppers, or the stores they buy from?
What consumer and merchant benefits does agentic commerce create?
This explores who actually gains when AI agents shop and buy for people: what consumers get out of it, what merchants get out of it, and whether those gains are split evenly.
This explores who actually gains when AI agents shop and buy for people, and whether consumers and merchants share those gains equally. The short answer from the corpus is that they don't. The consumer side is well documented. The merchant side is thin and mostly made up of new costs, so the more interesting story is why the benefits flow the way they do.
For consumers, the clearest benefit is that agents beat inertia. Many industries quietly profit from shoppers who don't bother to compare. Banks are a good example: they pay low rates on savings and offer weak card rewards because most people never switch. McKinsey estimates that if even 10 to 20 percent of consumers let agents move their cash automatically, deposit margins could shrink by 30 to 50 basis points Will AI agents break the deposit and credit card inertia?. The same logic applies to retail. BCG's survey of 2,500 US shoppers expects $1.3 trillion of e-commerce spending to move to agent-assisted or fully autonomous buying, with consumers and platform networks capturing most of the value Who wins and loses as AI agents reshape shopping?. In practice, the money merchants used to earn from shoppers' lack of attention ends up with the shopper.
Those consumer gains depend on conditions that aren't guaranteed. An agent can only shop around if it can carry your history and preferences from one service to the next. The UK's competition regulator argues that data portability is basic market infrastructure, not a convenience feature, because without it agents get locked into incumbent ecosystems Should data portability be infrastructure for agent-driven markets?. Loyalty is the other condition. An agent funded by merchant referral fees can't serve the buyer and the seller fairly at the same time Can an AI agent serve both merchant and user interests fairly?. There's also a less obvious effect: agents that complete purchases don't just carry out your preferences. They help form them through repeated back-and-forth, so the shopper is no longer the only one deciding what they want Do AI shopping agents reshape what consumers actually want?. Even the timing works against consumers. A formal model shows that platforms gain from agentic search before it actually pays off for shoppers, because platforms count conversions while consumers also pay search costs Why do consumers delay adopting agentic search?.
For merchants, this corpus doesn't document many direct benefits, and it's better to say that plainly than to invent them. What it does document is the bill. When an agent completes the checkout, the signals fraud systems rely on, like typing rhythm and mouse movement, disappear. Yet under every proposed protocol the merchant still carries the liability Does agentic commerce shift fraud liability onto merchants?. McKinsey makes a similar point: payment and fraud systems were built around a human visibly intending to buy, and they come under strain when agents act on their own Does agent-initiated commerce break existing payment infrastructure?. The closest thing to a merchant upside is that the competing protocols are complementary layers. Each covers a different level of fraud risk, so merchants can stack them as needed instead of betting on one winner Do agentic commerce protocols compete or complement each other?.
What decides the final split is market structure more than the technology. Waller expects agentic commerce to divide into open and closed systems, as payment networks did, and that choice will determine how concentrated the market becomes Will agentic commerce platforms adopt open or closed models?. Andrew Chen argues that agents lack the network effects that made messaging platforms dominant, because agents can talk to each other through standard interfaces Do AI agents actually benefit from network effects?. If he's right, it's harder for any single agent platform to lock in consumers, which helps protect the consumer gains. One more cost to note: when transactions happen agent-to-agent through APIs, the on-screen consumer protections like mandatory buttons and disclosures stop applying. Some of the benefit may need new rules built into the protocols themselves, such as a withdrawal API Can EU consumer law rules survive agent-to-agent API transactions?.
Sources 12 notes
McKinsey argues that AI agents optimizing deposits and rewards will collapse the rate and reward gaps banks exploit through consumer passivity, potentially tightening deposit margins by 30 to 50 basis points if 10 to 20 percent of consumers adopt agent-driven cash sweeps.
BCG's survey of 2,500 US consumers found that $1.3 trillion of e-commerce spend will shift to agent-assisted or autonomous shopping, with consumers and platform networks capturing most gains while merchants face structural disadvantage.
The CMA frames data portability as a precondition for competitive agentic markets, warning that without it, agents cannot act effectively on consumer behalf and switching becomes blocked by lock-in to incumbent ecosystems.
Azhar argues that agents like Meta's Muse, which earn referral fees from merchants like Expedia, face structural conflicts that prevent unbiased recommendations. The incentive to collect fees, not technology, determines which platforms build or block such agents.
Bilgihan and colleagues argue that transactional AI agents—which execute purchases rather than just recommend—end the consumer's sole cognitive role in preference formation. Preferences emerge through bidirectional feedback loops between agent learning and consumer trust, not independently beforehand.
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A formal model shows platforms rank agentic search by conversion revenue alone, while consumers also bear search costs. This divergence creates rational adoption lags where consumers keep manual search even after it would boost platform revenue.
Boboev argues that AI agents executing transactions remove behavioral fraud signals like typing cadence and mouse movement, leaving merchants holding liability as Merchant of Record across all proposed protocols. Merchants absorb autonomous-execution risk without access to the fraud-detection tools they historically used.
McKinsey argues that payment gateways and fraud engines built around explicit human identity and intent face significant strain when autonomous agents initiate transactions. The firm proposes cryptographically signed mandates as a replacement for human-observable signals fraud systems traditionally relied upon.
Boboev argues ACP, AP2, UCP, TAP, and Web Bot Auth each solve different layers—application, governance, discovery, and identity—creating a capability ladder merchants stack rather than choose between, with each layer absorbing different levels of fraud risk.
Waller argues agentic commerce platforms will divide between open systems allowing multiple agents and closed systems requiring proprietary ones, mirroring payment network structure. This choice will shape market concentration, vertical integration, and standards adoption.
Chen argues that because agents can communicate via standard APIs and swap underlying LLMs without losing continuity, they function as tools rather than networks. Unlike messaging platforms, agents face no pressure to converge on a single system.
Busch argues that agent-to-agent API transactions bypass design-based consumer protections like mandatory buttons and disclosure rules. He proposes parallel protocol-layer obligations, such as withdrawal APIs, to preserve substantive rights in a post-GUI transaction environment.
Papers this line draws on 8
The research behind the notes this line reads — ranked by how closely each paper relates.
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- How Agentic AI Will Reshape Payments
- Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
- The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants
- Payments in the Age of AI Agents
- Agentic AI in Retail: How Autonomous Shopping Is Redefining the Customer Journey
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
- Infrastructure for AI Agents