Home Blog Retail Insights Rise of the Agentic Tenant: How AI-Run Stores Could Change Retail Real Estate
Rise of the Agentic Tenant: How AI-Run Stores Could Change Retail Real Estate

Rise of the Agentic Tenant: How AI-Run Stores Could Change Retail Real Estate

A retail store in San Francisco has a manager who chooses products, sets prices, hires staff—and isn’t human.
 
In April 2026, Andon Labs opened what it describes as the world’s first AI-run store. The
company signed a three-year lease and handed much of the operation to an AI named Luna. She selects merchandise, helps set prices and hours, created the store’s brand, posted job openings, interviewed candidates, and hired human employees to handle tasks she cannot perform herself, such as greeting customers and stocking shelves.
 
Andon Market offers an early look at what could become a new kind of retailer: the Agentic Tenant.
 
An agentic tenant is a retailer that gives artificial intelligence meaningful authority to make and carry out operating decisions. The AI is not literally the tenant. Andon Labs still signed the lease, employs the workers, and remains legally responsible to the landlord. But Luna influences how the business operates inside the space.
 
That distinction is where the real estate story begins.
 

From Experiment to Emerging Trend

AI run stores are still rare.

Another experiment, built by SmartNovo in Poland, offers a stand-alone store for selling merchandise.

It’s completely run by AI to perform several roles that would normally be handled by people, including inventory management, checkout, security, and marketing. When stock runs low, the system can place an order and dispatch a human assistant to restock.

Most companies are not operating at that level yet. In a 2024 Capgemini study of 1,100 business executives, 50% said their organizations planned to implement AI agents, and that figure was expected to reach 82% within three years. At the time, only about 2% had reached substantial adoption.
 
So the agentic tenant is not yet the norm. But the direction is clear: more operating decisions are being handed to software.
 
And when the way a store operates changes, the space it needs can change too.
 

AI Could Change What Retailers Need From a Space

Retail real estate has always reflected the tenant’s operating model.

Restaurants need kitchen infrastructure. Fitness users need open space and parking. Medical tenants may need specialized power, plumbing, and buildout features.

AI-enabled retailers may add a new set of priorities.

Reliable connectivity can become more important. So can electrical capacity, cameras, sensors, data systems, and space for fulfillment or automated equipment. A retailer that uses AI to monitor inventory or coordinate online orders may need a different balance between customer-facing space and back-of-house operations.

That means two retailers selling similar products could have very different real estate requirements.

One may operate like a conventional store. Another may rely heavily on technology, automated inventory tracking, and fulfillment systems. 

For tenants and tenant reps, that means site requirements may need to go beyond square footage, rent, visibility, and parking. Questions about power, connectivity, infrastructure, storage, and technology may need to come earlier in the site-selection process.

For landlords and listing reps, it may become just as important to understand how a retailer operates as what category of retailer it is.

Physical Stores Still Matter

The rise of AI might suggest that physical stores will become less important. Current retail trends point in the opposite direction.

According to a Spring 2026 Colliers report, about one in four online orders is now fulfilled through a physical store, and that share is expected to reach 35.4% by 2030. The report also found that 85.1% of U.S. retail sales still flow through physical locations, while 71% of retailers planned to expand their store footprints during the year.
 
The store is not disappearing. Its job is expanding.
 
A retail location can now serve as a place to sell products, fulfill online orders, store inventory, interact with customers, and support data-driven operations. AI could make those functions even more interconnected.
 
That may be the most important real estate implication of the agentic tenant: smarter retail does not eliminate the need for physical space. It may make the quality and configuration of that space more important.
 

The Lease May Look Familiar, Even if the Store Does Not

For the foreseeable future, an AI-run retailer will probably look fairly conventional on a lease.

A business entity will still sign it. The tenant will still owe rent. Landlords will still evaluate financial strength, use, and compatibility with the property. Brokers may still represent either side.

What changes is what happens behind the signature.

AI may increasingly influence how much space a retailer needs, how inventory moves through it, how many people work there, and which property features matter most.

Luna may be unusual today. But if AI becomes more deeply embedded in retail operations, landlords, tenants, and brokers may need to stop asking only:

“What kind of retailer is this?”

They may also need to ask:

“How does this retailer actually run its stores?”

That is where the rise of the agentic tenant could begin to change retail real estate.

 

Frequently Asked Questions

What is an agentic tenant?
An agentic tenant is a retailer that gives AI meaningful authority over operating decisions such as inventory, pricing, staffing, marketing, or store hours. The business entity—not the AI—remains the legal tenant.

The source material for this article does not support AI itself becoming the legal tenant. At Andon Market, Andon Labs signed the lease and remains responsible to the landlord.

AI-enabled retailers may place greater importance on power, connectivity, cameras, sensors, fulfillment areas, storage, and space for technology or automated equipment.

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