Tesla Full Self-Driving hits Level 4? One analyst says yes. - June 10, 2026 Why it matters. If Tesla's FSD truly reaches Level 4, it could accelerate the commercial rollout of driverless ride-sharing, reshape regulatory standards, and pressure competitors to fast-track their own autonomous programs. Key takeaways. * - Piper Sandler analyst claims Tesla's FSD now functions at Level 4. * - Texas recognized Tesla's robotaxi program as Level 4 ride-sharing. * - Cybercab production at Giga Texas signals move toward driverless fleets. * - Tesla allocated up to $1 billion, underscoring confidence in autonomous rollout. Pulse analysis. Tesla's Full Self-Driving suite has long been marketed as a Level 2 driver-assist feature, but the conversation is shifting as analysts argue the technology now behaves like Level 4 autonomy in many scenarios. Alex Potter of Piper Sandler points to the company's own safety reports - showing over 5.5 million miles between accidents - and the recent self-certification of its robotaxi service in Texas as evidence that the system can operate without constant human oversight. By leveraging real-world performance data and personal test drives, Potter suggests the puzzle of reliable self-driving has been largely solved. The regulatory angle adds weight to the claim. Texas, a state known for a pragmatic approach to autonomous vehicles, has officially classified Tesla's robotaxi program as a Level 4 ride-sharing service. This designation not only legitimizes the technology but also creates a template for other jurisdictions. Simultaneously, Tesla's rollout of the Cybercab at Giga Texas - a purpose-built, steering-wheel-less vehicle - signals a concrete step toward fully driverless fleets. The company's allocation of up to $1 billion toward autonomous development underscores internal confidence and provides the capital needed to scale hardware, software, and insurance frameworks. Despite the optimism, challenges remain. Critics note that Tesla's FSD still requires driver attention in complex environments, and regulatory bodies worldwide have yet to adopt a unified definition of Level 4 autonomy. Competitors such as Waymo, Cruise, and Baidu are also racing to commercialize driverless services, each with differing safety metrics and city-level permits. Nonetheless, Tesla's extensive data pool, aggressive investment, and growing public perception of safety give it a strategic advantage. If the Level 4 claim holds up under broader scrutiny, the company could reshape the autonomous-vehicle market, prompting faster adoption across ride-hailing platforms and potentially redefining urban mobility. Joey Klender Tesla Full Self-Driving (Supervised) is currently listed as a Level 2 suite in terms of its passenger cars. As its Robotaxi platform continues to move quickly, it has been recognized as a Level 4 ride-sharing program by the State of Texas, as Tesla recently self-certified itself. However, a Wall Street analyst is arguing that Tesla (NASDAQ: TSLA) has effectively achieved Level 4 autonomy in most conditions in all of its vehicles, drawing on personal experience and data released by the company. Alex Potter of Piper Sandler said in a note to investors on Wednesday that "Tesla has solved the self-driving puzzle," pointing to decisions to offer insurance discounts for FSD-enabled policies as a signal of confidence, which is backed up by stellar safety records compared to human driving. Investing.com initially reported on Potter's new note. Additionally, Potter looks at the recent start of Cybercab production at Giga Texas as a potential indication that Tesla is ready to offer some level of unsupervised driving at least in the near future. The Cybercab has no steering wheel or pedals, completely eliminating the ability for human input. He also sees Tesla's allocation of "several hundred million USD (if not $1B+)" as confidence internally, seeing as it would be tough to set aside that amount of capital toward a project that the company does not see as relatively near-term. Forward thinking, especially as Cybercab has no human controls, it would make sense that Tesla is at least close to self-driving. How close is another question. Tesla has routinely teased that unsupervised FSD is close, but there are still a lot of things it feels as if the company has to roll out some more capability, including unsupervised parking features, known as "Banish," better operation with regional self-driving performance, and other improvements. That is not to say that Tesla FSD is super impressive already. It has already completed coast-to-coast drives across the United States and Canada, it routinely takes the stress out of driving for most people, and it has proven through Tesla Safety Reports that it is safer and involved in accidents less frequently than humans. These are the first-ever FSD safety statistics out of the Netherlands, showing it was over 3.5x safer than human driving on Dutch roads. The most recent numbers out of Tesla for North America show: -Over 5.5 million miles between accidents for Teslas using FSD Even Potter believes it is capable, as he used it to go from Missoula, Montana, to Minneapolis, Minnesota, back in April. "There's no substitute for personal experience," he wrote. Want to join the conversation?

General Motors has rehired more than 100 former Cruise employees from companies including Nvidia, Uber and Zoox as it develops fully autonomous vehicles for personal consumer use, The Information reported. GM shares climbed 2% following the news. The rehiring comes 18 months after GM shut down Cruise in December 2024, ending funding for its robotaxi operations. The company is now focusing on developing "eyes-off" self-driving technology for personally owned vehicles rather than ride-hailing services, according to GM's vice president of autonomous vehicles, Rashed Haq. Cruise was a major robotaxi competitor to Waymo until an October 2023 accident in San Francisco triggered regulatory scrutiny and service suspension. GM subsequently abandoned the robotaxi business, citing the time, resources and competition required to scale.

Meta is reportedly forming a new team that will be devoted to developing artificial intelligence-powered humanoid robots.The team will be within the company’s Reality Labs hardware division, Bloomberg reported Friday (Feb. 14), citing unnamed sources. It will be led by Marc Whitten, the former CEO of General Motors’ Cruise self-driving division, and will add about 100 engineers this year.Meta did not immediately reply to PYMNTS’ request for comment.The company plans to work on its own humanoid robot hardware, with a focus on robots that can perform household chores, as well as AI, sensors, and software that could be used by a variety of companies manufacturing and selling robots, according to the report.Meta Chief Technology Officer Andrew Bosworth wrote in an internal memo, per the report: “The core technologies we’ve already invested in and built across Reality Labs and AI are complementary to developing the advancements needed for robotics.”The company is betting that humanoid robots will not be widely available for a couple of years but that they will be a major focus for Meta and the entire tech industry, according to the report.The report came shortly after news of other companies’ efforts in projects involving robots.It was reported Wednesday (Feb. 12) that Apple is exploring humanoid and non-humanoid robots for smart home applications. The products are in the early proof-of-concept stage at Apple and mass production of any potential Apple robots would likely not start any time before 2028.On Feb. 3, it was reported that robots were among several product lines included in a trademark application filed by OpenAI