M C K I N S EY Q UA RT E R LY 136 F OR MANY SHOPPERS, THIS past holiday season may have felt different. Perhaps an AI assistant suggested gifts your relatives might actually like while filtering for items that could arrive before the holidays. Maybe it helped you nav igate the specs of three different noise-canceling headphones or scanned five retailers for a specific holiday outfit, assembled a ready-to-buy basket, and politely asked, “Should I go ahead?” - This is the year AI agents stopped being an experiment and became part of how people shop, not in headline-grabbing ways but in everyday moments—helping shoppers make sense of choices, assemble baskets, resolve trade-offs, and move toward action. Yet what looks like small convenience today is an early signal of a much larger shift in the way we shop. According to our research, even under moderate scenar ios, AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030. Because agents navigate the same internet as humans—visiting websites, engaging with APIs, and interacting with loyalty programs—they can scale quickly. And as they do, they are reshaping how intent forms, how products are discovered, and where value pools can be found. - We introduced many of these themes in our report The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants last fall. This article builds on that foun dation. Here, we explore what we call the “agentic commerce automation curve,” which illustrates how the shopper experience shifts at different levels of delegation, and outline how retailers can prepare for a world in which the customer is still human but AI agents increasingly mediate key decisions. - THE SIX-LEVEL AGENTIC COMMERCE AUTOMATION CURVE The rise of agentic commerce reflects the colli sion of three forces. First, AI agents have reached decision-grade usefulness, allowing consum ers to delegate not only inspiration but also - - shortlisting, assembly, and even execution. Sec ond, the ecosystem now has rails for real autonomy. Open-source protocols—such as MCP, A2A, AP2, ACP, and UCP—enable agents to read data, nego tiate with other agents, and transact safely. The Linux Foundation recently established the Agentic AI Foundation—a partner-backed effort including Anthropic, Block, Google, Microsoft, OpenAI, and others—focused on the interoperability, identity, and payments building blocks needed to make autonomous commerce viable at scale. Third, intent is shifting upstream. Agents increasingly act when consumer goals surface—such as a conversation about an upcoming birthday party, a calendar reminder for a trip, or a low-supplies signal from a device. For retailers, the implications are stark: If your catalog, policies, and value prop osition are not machine-readable, agents—and by extension, shoppers—simply will not find you, no matter how beloved your brand is. - - - That said, the rise of AI agents does not rep resent a single leap from human-driven shopping to full autonomy. Instead, agentic commerce is unfolding along a curve—one defined by how much of the commerce journey consumers are willing to delegate to machines. This automation curve is composed of six distinct levels of auto mation, each representing a different mode of delegation—from basic rules-based convenience to fully autonomous multiagent coordination. Importantly, these levels describe what agents are technically capable of doing, not what consumers will always choose to allow. - - Further, adoption will not necessarily move uniformly “up” the curve. While agentic capabili ties continue to advance, two forces are shaping consumer delegation. The first is time and trust: As consumers gain familiarity with agents and see them perform reliably, they become comfortable delegating larger portions of the journey. The sec ond is category dynamics. Willingness to delegate varies sharply by ticket size, emotional salience, identity signaling, and regret risk. - - Together, these forces determine a ceiling of delegation, in which autonomy naturally plateaus for a given category or moment. In some contexts, consumers may be comfortable delegating end- to-end execution. In others, they will deliberately stop short, retaining control not because agents are incapable but because human involvement is intrinsic to the value of the experience. Automation Curve P R E V I O U S S P R E A D : G E T T Y I M A G E S ( 2 )