Tesla plans to begin selling its driverless Cybercab vehicles to the public by the end of 2026, setting a new milestone for Chief Executive Elon Musk’s ambition to transform the electric-vehicle maker into an artificial intelligence and robotics company.
The timeline, however, faces uncertainty as US regulators examine whether the vehicles comply with federal safety requirements designed for cars operated by human drivers.
Lars Moravy, Tesla’s vice president of vehicle engineering, disclosed the target on Wednesday during a call with analysts following the company’s third-quarter results. The company intends to introduce the vehicles gradually, using initial customer deployments to learn how autonomous cars should be delivered, owned, and managed before expanding production and use.
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“As Tesla grows, we’ll mainly deliver fully designed autonomous vehicles to our customers and Cybercabs will be the first,” Moravy said.
“We’re trying to get Cybercabs to customers by the end of this year, 2026,” he added. “As we start small this year, and we learn … about delivery and ownership and fleet management of autonomous vehicles in customer hands, we’ll continue to scale that.”
The Cybercab is key to Tesla’s strategy of moving beyond conventional electric vehicles towards autonomous transportation services. The gold-colored, two-seat vehicle features butterfly doors and is designed to operate without a steering wheel, pedals, or mirrors, relying entirely on its autonomous driving system.
That design also puts the vehicle at the center of a regulatory question that could determine how quickly Tesla expands its robotaxi ambitions: can a car built without conventional manual controls satisfy safety standards established decades before driverless vehicles became commercially viable?
The National Highway Traffic Safety Administration (NHTSA) opened an investigation into the Cybercab shortly after Tesla began offering paid rides using a small fleet in Austin, Texas, early last month.
The investigation is examining how Tesla determined that the vehicle complies with federal motor vehicle safety regulations, including whether certain standards apply to a car without conventional driver controls.
Under the US regulatory system, automakers generally certify for themselves that new vehicles meet applicable federal safety standards before deploying them on public roads. This differs from systems in many other countries, where new vehicle models and technologies typically require regulatory approval before launch.
However, self-certification does not exempt manufacturers from compliance with existing requirements. Federal rules governing vehicle safety were largely written around human-operated cars and include provisions requiring manual controls, creating potential complications for vehicles designed to operate entirely autonomously.
NHTSA said last month that it was examining the basis of Tesla’s certification and the extent to which the company had determined that particular safety standards were not applicable to the Cybercab. Tesla has until October 30 to respond to the agency.
The regulator has proposed changes to federal safety standards to accommodate autonomous vehicles designed without human controls. Until those changes are completed, however, existing requirements remain in force.
The timing creates uncertainty around Tesla’s year-end sales target. Even if the company can manufacture the Cybercab at scale, its commercial rollout depends on resolving the regulatory questions surrounding a vehicle that removes the conventional controls used by drivers to intervene in an emergency.
Currently, Tesla’s issue is not simply whether its autonomous technology works, but whether the vehicle’s design and certification can satisfy the regulatory framework governing public-road use.
Ashok Elluswamy, Tesla’s head of AI, said the company was focused on securing the necessary regulatory approvals so it could deploy Cybercabs as quickly as production allows.
“I think the key thing which we are trying to make sure is that we have all the regulatory approvals where we can start deploying the Cybercabs as fast as we can produce them,” Elluswamy said.
He suggested manufacturing would not be the main obstacle, describing the Cybercab as “one of the easiest products” to scale.
That assessment points to Tesla’s confidence in the vehicle’s production requirements, but manufacturing simplicity alone will not determine the pace of deployment. Regulatory compliance, autonomous driving performance and the operational demands of managing driverless vehicles will also shape the rollout.
The company is taking a phased approach, with initial deployments intended to provide experience in customer ownership, vehicle delivery and fleet management. Those lessons could prove important if Tesla eventually moves from operating a limited robotaxi fleet to selling autonomous vehicles directly to consumers.
The strategy also raises questions about how ownership will work when a vehicle is designed without manual controls. Conventional cars allow owners to drive themselves whenever they choose, whereas the Cybercab depends on its autonomous system to perform the driving task. Its practical value therefore lies in the reliability and availability of that system, as well as the regulatory conditions under which it can operate.
Tesla has already begun testing the commercial proposition through paid robotaxi rides in Austin, where the initial service attracted attention from fans and social media influencers. The company plans to expand the Cybercab service to Dallas next month, Elluswamy said.
The broader robotaxi network also includes autonomous Model Y vehicles, some of which operate with human safety monitors. Tesla intends for the Cybercab eventually to become the principal driverless vehicle in a larger network.
The Cybercab marks a significant shift in Tesla’s business proposition. Rather than selling only vehicles that customers operate themselves, the company wants to build a transportation network in which autonomous cars can provide rides with limited or no human intervention.
Such a model could create revenue from both vehicle sales and ride-hailing operations. But it could also change how Tesla uses its manufacturing capacity, with vehicles produced specifically for fleet services rather than individual owners.
However, Musk has indicated that the Cybercab will mainly remain Tesla-owned and be used for its ride-hailing service. That suggests the company’s initial commercial strategy may rely more heavily on operating a fleet than on selling large numbers of the vehicles directly to consumers.
The two approaches carry different economic and operational requirements. Selling vehicles transfers ownership and many operating responsibilities to customers, while a company-owned fleet requires Tesla to manage utilization, maintenance, charging, cleaning, and service availability.
Fleet ownership could give Tesla greater control over vehicle deployment and the customer experience, but it would also require capital to acquire vehicles and sustain operations. The financial case is therefore tied to how frequently the vehicles are used, the costs of maintaining them and the revenue generated from each ride.
This backdrop pushes Tesla’s ambition to scale the Cybercab beyond manufacturing an autonomous vehicle. The company must demonstrate that its technology can operate reliably, that its business model can support the cost of deployment and that regulators will permit the vehicles to operate under the proposed conditions.
The year-end target marks an important step in that effort, but the investigation indicates that there is still a huge gap between Tesla’s commercial timetable and the requirements of public-road deployment.