An Aseon Labs Robotic Pit Stop (courtesy of Aseon Labs)
An Aseon Labs Robotic Pit Stop. Aseon Labs

For more than a decade, investors have poured hundreds of billions of dollars into autonomous vehicles, backing companies racing to solve one of the most technically ambitious engineering problems of our time: replacing the human driver. That investment has produced remarkable progress. Commercial robotaxis now carry paying passengers in multiple cities, and the question is shifting from whether autonomous driving will work to how quickly it can scale.

The next major investment opportunity, however, may not be another vehicle or autonomy platform. It may be the physical infrastructure required to keep millions of autonomous vehicles operating—and the commercial real estate underneath it.

History has repeatedly followed this pattern. Railroads created freight terminals. Commercial aviation created airports and ground-service businesses. Mobile communications created cell towers. Cloud computing created data centers. The breakthrough technology attracts the early capital, but once adoption reaches scale, the infrastructure every operator depends on can become a durable asset class of its own.

Autonomous transportation is approaching that transition. Goldman Sachs Research forecasts that the global commercial robotaxi fleet could grow from roughly 7,000 vehicles in 2024 to approximately 6 million by 2035, generating roughly $415 billion in annual revenue. If anything close to that scale materializes, those vehicles will need an enormous physical operating network for charging, cleaning, inspection, tire service, routine maintenance and other functions required to keep them on the road.

The conventional assumption is that this infrastructure will resemble fleet infrastructure today: large, permanent depots located where land is relatively inexpensive. I believe that gets the economics backward. For autonomous fleets, infrastructure will increasingly need to be designed around a different priority: minimizing the time and mileage vehicles spend out of revenue-generating operation.

We can already see the scale of the problem. A study of California robotaxi operations, partially supported by the Aspen Institute Science and Technology Policy Fellowship, analyzed more than 86 million Waymo vehicle miles across nearly 14 million commercial trips. It found that approximately 46% of Waymo's total mileage was driven without a passenger onboard.

Not all of those miles are avoidable. Vehicles must reposition and travel to passengers, just as human-driven rideshare vehicles do. But the data exposes the economic importance of every operational mile that can be eliminated. At fleet scale, a few unnecessary miles multiplied across millions of vehicles and hundreds of trips becomes a major cost center.

That is where autonomous transportation begins to become a real estate story.

For more than a century, cities have been organized around privately owned cars that spend most of their lives parked. That assumption produced parking garages, surface lots, petrol stations, automotive service centers and dealership properties throughout urban areas. Shared autonomous fleets change what those properties are for. Some of the same sites that once supported human-owned vehicles could become the distributed operating network supporting autonomous ones.

The critical characteristic will be centrality. A strategically located parking facility, fuel station or automotive property that can support fleet operations inside or near a robotaxi operating zone has something difficult to replicate: proximity to revenue. Its value is not simply the land beneath it. It is the minutes and miles it can remove from charging, cleaning, inspection and routine servicing.

That is an important distinction for real estate investors. The winning properties may not be the largest ones. A small site in exactly the right location could create more operating value than a much larger facility miles away. In autonomous mobility, geography becomes part of fleet economics.

Safety will ultimately determine how quickly that market develops. Waymo reports that across more than 220 million fully autonomous miles, its vehicles experienced 94% fewer crashes resulting in serious injury or worse than comparable human drivers in the same environments, along with 82% fewer injury-causing crashes. Those results come from one operator and will continue to be tested as deployment expands, but sustained safety improvements would give cities, regulators, insurers and passengers powerful reasons to accelerate adoption. If that happens, the physical network will have to grow with it.

There is another assumption I believe investors should question: that the first generation of this infrastructure should be permanent.

Robotaxi networks are still young. Passenger demand will shift as service areas expand. Fleet density will change. Cities will adapt their regulations. Operators will learn where vehicles actually need service and how frequently. Infrastructure built permanently around today's operating patterns risks being stranded by tomorrow's network.

That makes portability unusually valuable during this stage of the market. Distributed infrastructure that can be deployed quickly, moved as demand shifts and optimized as fleet networks mature allows operators and property owners to learn before committing enormous amounts of capital to permanent facilities. Some locations will eventually justify long-term fixed infrastructure. Others will not. The market needs the ability to discover the difference.

This is the part of the autonomous vehicle investment story that I believe remains underappreciated. Investors have spent years asking which autonomy company will win. The infrastructure opportunity may be attractive precisely because it does not require making that bet. A strategically located, fleet-neutral operating network can potentially serve multiple autonomous vehicle platforms, much as cell towers support multiple carriers and data centers support many technology companies.

If robotaxi fleets approach the scale now being forecast, that network could become a new infrastructure asset class. Commercial real estate owners can provide the locations. Infrastructure investors can finance deployment. Private credit can fund equipment. Fleet operators can provide recurring utilization. Over time, the combination could produce assets whose value is tied less to traditional parking or automotive real estate metrics and more to the economic productivity they create for autonomous fleets.

My prediction is that within the next decade, some of the most valuable autonomous-vehicle assets will not have wheels at all. They will be ordinary pieces of urban real estate that became indispensable nodes in the operating network for millions of vehicles.

About George Kalligeros

George Kalligeros is the co-founder and CEO of Aseon Labs, which is building distributed robotic pit stop infrastructure for autonomous vehicle fleets. A mechanical engineer by training, he began his career at Tesla before co-founding Pushme, which became the world's largest battery-swapping network for shared e-scooters and e-bikes, deploying more than 5,000 locations across 40 cities before its acquisition by TIER-Dott. He later served as Vice President of Hardware at TIER-Dott, leading a team of more than 100 people and overseeing the deployment of more than $300 million in fleet hardware. Today, he is applying that experience to the physical operating infrastructure required to keep autonomous fleets running efficiently at scale. Aseon Labs has raised $10 million in seed funding and is backed by Y Combinator, Crane Venture Partners, Expa, Robin Hood Ventures and Founders Capital.

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