AUSTIN, Texas — Tesla has kicked off production of its long-awaited Cybercab, the company's vision for a fully autonomous robotaxi, but CEO Elon Musk cautioned that the rollout will begin at a snail's pace. In a post on his social media platform X on Thursday, Tesla announced that the Cybercab is now in production at Giga Texas, the electric vehicle maker's sprawling factory near Austin. The announcement included a video of a shiny Cybercab emerging from the assembly line and hitting the road, followed by another clip from the Tesla Robotaxi account showing a line of the vehicles merging onto a highway.
The move marks a significant step for Tesla, which unveiled its first autonomous Robotaxi vehicle more than a year and a half ago in October 2024. At that time, Musk set ambitious targets, aiming to produce 2 million Cybercabs annually, or roughly 38,000 per week. However, during Tesla's first-quarter earnings call this week, the billionaire entrepreneur dialed back those expectations considerably. He described the initial phases of production as "very slow," citing the challenges of establishing a reliable supply chain and ensuring rigorous safety validations.
"Production will continue ramping up and eventually (go) exponential, to the best of our ability," Musk said on the call. He emphasized safety as the paramount concern, adding, "The limiting factor for expansion is really rigorous validation, making sure things are completely safe. We don't want to have a single accidental injury with the expansion of Robotaxi." A representative for Tesla did not immediately respond to requests for further comment on the production timeline or specific output numbers.
It's been just two months since the very first Cybercab rolled off the line at Giga Texas, according to the company's social media updates. The Cybercab represents Tesla's push into a steering-wheel-free future for ride-hailing, designed specifically for unsupervised autonomous operation. Unlike current models, these vehicles reportedly lack traditional controls like pedals or a steering wheel, aiming to streamline the robotaxi experience.
For now, Tesla's robotaxi operations remain limited and rely on existing vehicles. The company currently runs a pilot service in three Texas cities—Dallas, Houston, and Austin—using modified Model Y SUVs equipped with its Full Self-Driving (FSD) software. These vehicles can steer, brake, and accelerate on their own, but a human driver must remain attentive and ready to intervene. Tesla envisions expanding this fleet nationwide with Cybercabs, potentially transforming urban transportation in major U.S. markets.
Yet, the path forward is fraught with regulatory and technical hurdles. The National Highway Traffic Safety Administration (NHTSA) is actively investigating 3.2 million Tesla vehicles equipped with FSD, focusing on incidents where the camera-based system allegedly failed to detect common road hazards, contributing to crashes. Tesla maintains that FSD is a driver-assistance feature requiring constant supervision, not a fully autonomous solution. The probe underscores broader concerns about the reliability of Tesla's vision-only approach, which depends solely on cameras rather than incorporating lidar or radar technologies used by rivals.
In the competitive landscape of autonomous ride-hailing, Tesla is playing catch-up. Alphabet's Waymo leads the pack, offering services in 10 major U.S. cities, including Los Angeles, San Francisco, and Phoenix. Amazon-backed Zoox operates in Las Vegas and San Francisco, with plans to expand to Austin and Miami in the coming months. These companies employ a multi-sensor strategy—combining cameras, lidar for 3D mapping, and radar for object detection—to navigate complex environments.
CNET senior writer Abrar Al-Heeti, who has experienced a self-driving Tesla ride in Las Vegas, highlighted the steep challenges ahead for Tesla. "It's a highly competitive market that moves fast," she said. Al-Heeti expressed skepticism about Musk's camera-centric strategy, noting, "There's still a lot of uncertainty and trepidation around Elon Musk's approach to having the Cybercab rely solely on cameras for navigation, rather than a combination of cameras, lidar and radar like Tesla's competitors."
The global driverless taxi market is poised for explosive growth, projected to expand at an annual rate of 99 percent and reach $147 billion by 2033, according to Grand View Research. In the U.S., adoption has been gradual, with services still serving a niche audience amid public wariness. Al-Heeti pointed out that while autonomous vehicles could one day dominate the taxi industry, significant obstacles remain. "There are still many hurdles from a logistical, technical and regulatory standpoint," she said. "Not to mention the wariness of many riders and drivers who aren't yet convinced autonomous rides are the safest or most practical option."
Tesla's entry into this space comes at a pivotal moment for the company, which has faced scrutiny over its autonomous driving claims. Musk has long touted FSD as a revolutionary technology, but real-world incidents have tempered enthusiasm. The NHTSA investigation, for instance, stems from reports of FSD struggling with reduced visibility or unexpected obstacles, raising questions about scalability.
Despite the slow start, Musk's vision for the Cybercab extends beyond Texas. The company aims to deploy these vehicles across the U.S., potentially disrupting traditional ride-hailing giants like Uber and Lyft. Tesla's integrated ecosystem—combining vehicle production, software development, and a vast charging network—could give it an edge in the long term, even if competitors like Waymo have a head start in operational experience.
Industry observers note that the technology underpinning autonomous vehicles has evolved rapidly. Lidar, which uses laser pulses to create detailed environmental maps, and radar, a staple since World War II for detecting objects via radio waves, provide redundancies that Tesla's camera system lacks. Proponents of Tesla's approach argue that advanced AI and neural networks can achieve similar results more cost-effectively, but skeptics, including some regulators, remain unconvinced without empirical proof at scale.
As production ramps up at Giga Texas, all eyes will be on Tesla's ability to meet safety benchmarks. Musk's insistence on zero tolerance for accidents reflects the high stakes: a single high-profile incident could derail public trust and invite stricter oversight. The NHTSA's ongoing probe into FSD could influence approvals for unsupervised Cybercab operations, potentially delaying nationwide rollout.
Looking ahead, the Cybercab's success could reshape urban mobility. In cities like Austin, where Tesla's headquarters is based, early adopters may soon hail rides without a human driver. But broader implications extend to job markets, with autonomous fleets threatening to displace traditional taxi and rideshare drivers. Economists predict that while the technology promises efficiency and reduced emissions, equitable access and infrastructure upgrades will be essential for widespread benefits.
For now, Tesla's measured approach signals a shift from Musk's typically bold timelines. As the company navigates supply chain kinks and validation processes, the Cybercab remains a symbol of ambition in an industry racing toward autonomy. Whether it catches up to frontrunners like Waymo or charts its own path will depend on execution in the months ahead.