Insight · AI Operations
AI Is Changing What Stores Are For. Those Who Win Will Redefine the Future of Retail
McKinsey and ICSC surveyed more than 3,000 US shoppers. The lesson for anyone who runs a physical footprint is operational, not technological: decide what each location is for before you touch the technology.
Store mission A store mission is the single primary job a location is designed to do, most often convenience or discovery. Once the mission is set, everything else, layout, assortment, staffing, technology, and the metrics the location is measured by, gets aligned behind that one job instead of trying to serve every purpose at once.
In a 2026 study where McKinsey and ICSC surveyed more than 3,000 US shoppers, the finding that matters for anyone who runs a physical footprint is not that AI is coming for retail, it is that AI is changing what a store is for. As shoppers hand more of their research, comparison, and routine reordering to AI, store visits become less frequent and more deliberate, and McKinsey projects that the portfolio decisions made over the next three to five years will decide which locations earn their place. The response that works is operational, not technological.
Why AI is changing what physical stores are for
Three forces are narrowing the reasons a person walks into a store. AI in purchase decisions, with agentic tools starting to handle basket-building, replenishment, and comparison. Rising expectations for transparency and convenience. And the spending power of younger shoppers who move fluidly between online and in store. When an agent does the research and places the reorder, the reasons a person still walks into a store narrow to a few: immediate access, product validation, fulfillment, or an experience worth the trip. The store does not disappear, but its job gets more specific.
Convenience or discovery: the new shopping calculus
Most store trips now serve one of two purposes, and shoppers weigh the effort of a trip against what they expect to get from it. Convenience trips reward speed and certainty. In the survey, 37% of shoppers ranked in-stock reliability among their top three reasons for choosing a retailer. Discovery trips reward time well spent: edited assortments, rotating collections, a reason to linger. A store managed for every mission does not perform as well as one that zeroes in on a single job.
Define the mission before you deploy the technology
This is where the piece stops being about retail and starts being about operations. The instinct, when AI shows up, is to buy the AI: self-checkout, clienteling tablets, demand forecasting. McKinsey's sequence is the reverse. Assign each location a primary mission first. Decide what the store will not do as deliberately as what it will. Then let the technology reinforce that mission. Friction-removing tools in a convenience store, real-time inventory and clienteling in a discovery store. The same tablet that helps one clutters the other. The tool is only as good as the mission it serves.
Define the mission first, and the technology decisions get easier. Skip that step, and no amount of tooling fixes a location that was never told what it is for.
Why this is an operations problem, not a technology purchase
McKinsey has found that only about one in five companies redesign their workflows before adding AI. The firms that capture value are the ones that redesign how work moves, then layer the technology on top. The ones that treat AI as a purchase, a tool added to an operation nobody redrew, end up with a more expensive version of what they already had. It is the same pattern behind the pilot-to-production gap: the technology rarely fails on its own, the operation around it was never built to use it. Stores managed uniformly, McKinsey notes, are partially optimized for every mission and fully optimized for none. Defining the mission is the redesign. The hardware is just the part you can see.
What this means for anyone who runs a physical footprint
Business owners, developers, and retail designers all face the same question as AI moves the customer journey upstream: what is each space actually for, and is everything behind it aligned to that answer? McKinsey's advice to landlords is to stop acting like leasing agents and start acting like curators, building third places that combine retail, dining, and experience, with Rockefeller Center and The Battery Atlanta as the examples. The throughline is the one we start every operations audit with, and you can see how that works on the FAQ: define the role with precision, then build the system that delivers it.
If AI is changing what your locations or systems are for, the first move is not a tool. It is deciding what each one is supposed to do, then aligning the operation behind it. A two-week operations audit maps where that alignment is missing and where the leverage actually is.
Related questions
How is AI changing physical retail?
AI is moving research, comparison, and routine buying upstream, so customers arrive at a store already decided or not at all. McKinsey and ICSC expect fewer but more deliberate visits over the next three to five years, which forces each location to do a clearer, more specific job.
What is a store mission, and why does it matter?
A store mission is the one primary job a location is built to do, usually convenience or discovery. It matters because once the mission is set, layout, staffing, technology, and metrics can all line up behind it. Without a mission, a store tries to serve everyone and serves no one well.
Should a retailer just add AI tools to its existing stores?
Not first. Adding tools to a location managed for no particular mission produces a more expensive version of the same store. McKinsey's sequence is mission first, then technology that reinforces it. The tool is only as useful as the job it is pointed at.
What should real estate developers do as AI reshapes shopping?
Act as curators, not leasing agents. McKinsey advises building mixed-use third places that combine retail, dining, and experience, using shopper data to decide which tenants belong together. The goal is a destination people choose to spend time in, not just a row of leases.
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