US Agentic Commerce to Hit $1 Trillion by 2030: ICSC and McKinsey Redefine the Store

US Agentic Commerce to $1 Trillion by 2030: Where the Number Comes From

US agentic commerce revenue forecast to reach $1 trillion by 2030

But even as the technology grows in popularity, the physical shopping experience will remain important, per a new report.

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On May 5, 2026, Retail Dive reported that US agentic commerce could reach $1 trillion in revenue by 2030. The source is "Shopping in the Age of AI: Redefining Stores for a New Era," a joint report released on April 27, 2026 by ICSC, the trade body for commercial real estate, and McKinsey & Company.

This figure does not stand alone. McKinsey separately estimates that global agentic commerce will reach $3 trillion to $5 trillion by 2030, with the US B2C portion sitting at roughly $1 trillion. The forecast is built on a survey of 3,004 US consumers and interviews with retail and real estate leaders.

What deserves attention is that the $1 trillion figure does not refer only to transactions an AI agent completes end-to-end. It includes the broader space where AI shapes purchase decisions through comparison and recommendation. Both agent-driven transactions and human purchases guided by AI advice are inside this market.

The timing of the release matters too. Late April 2026 falls about six months after Stripe and OpenAI introduced the Agentic Commerce Protocol, and just after Visa's Intelligent Commerce and Mastercard's Agent Pay went into broader rollouts. With protocol plumbing largely settled, putting a "$1 trillion" tag on the market sends a clear investment signal to the industry.

Inside the $1 Trillion: Which Categories Lead?

The consumer profile in the report is already close to "AI-native." Sixty-eight percent of consumers used an AI tool while shopping in the past three months, and 62% used AI to compare brands, models, prices, or reviews. The consideration phase is quietly migrating from the search results page to the AI response screen.

Agentic commerce will scale first in routine, decision-heavy purchases. Household replenishment, easy-to-compare electronics, insurance, and travel bookings are obvious examples, where letting an AI agent handle the legwork meaningfully reduces friction. Apparel and luxury, which depend on emotion and feel, are not where agents will dominate.

A complementary picture comes from NIQ's "New Rules of Commerce" study released in early 2026: 17% of consumers used AI for product recommendations, 19% rely on subscribe-and-replenish features, and just 5% have placed orders through fully autonomous AI agents. For now, the $1 trillion market rests on two pillars — auto-replenishment and comparison support — with fully autonomous agents likely to move into volume only after 2028.

Toward a Polarized Commerce: Splitting Agent and Physical Roles

The report's other core argument is that the role of the store will not vanish — it will mutate.

McKinsey's Colleen Baum puts it bluntly: "AI isn't eliminating the store — it's raising the bar for what it needs to deliver." With the upper funnel absorbed by AI, stores need a clearly defined role. They must either deliver speed and certainty as a "convenience" format, or earn the trip as a "discovery and experience" format.

Among the 3,004 surveyed, 37% prioritize convenience-driven attributes such as speed, intuitive navigation, and in-stock reliability. Meanwhile, more than 40% of Gen Z and millennial respondents say experiential retail makes them more likely to shop with a retailer. For omnichannel operators, this means committing each store to a role rather than running hybrid formats with no center of gravity.

Tom McGee, ICSC President and CEO, says retail and CRE leaders need to make sure "every store in their portfolio is aligned to a clear strategic purpose." McKinsey adds that the top decile of operators will capture more than 85% of the sector's economic profit. The gap between winners and losers will widen sharply over the next five years.

Three Checks for E-commerce Operators

Translating the above into a practical checklist for operators yields three priorities.

First, agent-ready product data. When an AI agent compares products on behalf of a consumer, it parses structured catalog data. Without machine-readable product names, attributes, inventory, prices, reviews, and shipping conditions, an item simply will not surface in agent recommendations. Feed design on commerce platforms and schema markup on product pages now matter more than traditional SEO.

Second, repeat-SKU redesign. The 19% adoption of auto-replenishment in NIQ's data is an early sign that subscription markets are about to expand. Operators in consumables and household goods should go beyond simple subscription buttons to enable flexible delivery cadences, easy pause-and-resume, and stock signals that AI agents can actually read.

Third, the experience reinvestment call. In apparel and lifestyle goods, where imagery and try-on drive the decision, both stores and online surfaces must be elevated as discovery environments. Video-first product pages, store-as-event programming, and persistent brand communities all fall in this direction. Sharpening the contour of experiences that AI cannot replicate is what will separate winners in the polarized commerce era.

Concrete pilots are already emerging. The Vitamin Shoppe opened an "AI Innovation Store" in New York where its "Shoppe Advisor" assistant surfaces product details and inventory in real time. Boot brand Tecovas brought AI into store replenishment and allocation, reporting a 9.6% sales lift over human-managed operations. These are not "stores with AI bolted on" — they are stores redesigned around AI as the primary substrate, exactly the direction the report endorses.

Closing Thoughts

The $1 trillion number from ICSC and McKinsey signals that agentic commerce has moved out of the R&D conversation and into operating plans. The fact that two out of three US consumers already shop with AI assistance means Japan and other markets will follow on a delay.

The most important call for e-commerce operators is to decide early whether they will compete in the AI-optimized "upper funnel" or in the "lower funnel" of stores and experience. The biggest warning in this report is that operators who try to do both halfway will be the first to drop out.