I. Introduction: The line between great ambition and dangerous misrepresentation

tesla has an ambitious vision of becoming more than just an electric car manufacturer, but an artificial intelligence (AI)-powered robotaxi and mobility platform company. The key to this future growth engine is its "Full Self-Driving" (FSD) software and the robotaxi service that will be built on top of it. for years, CEO Elon Musk has repeatedly promised the completion of FSD and the commercialization of robotaxis, keeping market expectations high.

however, Tesla's FSD technology is currently facing a triple whammy of technical challenges, regulatory pressure, and potentially devastating legal action. In particular, the company is embroiled in a California Department of Motor Vehicles (DMV) and consumer class action lawsuit alleging that its "fully autonomous" label deceived consumers by exaggerating the true capabilities of the technology, and regulators in France and elsewhere have ordered the company to cease and desist from overstating its claims. with Tesla's self-driving technology in court, it's time for an in-depth diagnosis of whether it can lead the way to revolutionize humanity's future mobility or remain a dangerous ambition of Elon Musk.

II. Technical Diagnosis: Fundamental Limitations and Safety Issues of the 'Vision Only' Strategy

1. limitations of Level 2 technology and the marketing gap

the FSD capabilities that Tesla currently offers to consumers are clearly at the Level 2 (L2), or "partial automation" stage by the standards of the National Highway Traffic Safety Administration (NHTSA) and the Society of Automotive Engineers (SAE). L2 systems assist with steering, acceleration, braking, and other functions under certain conditions, but the driver is still obligated to supervise the vehicle at all times and intervene immediately in an emergency. Level 5 (L5), defined as true full autonomy, requires no driver intervention at all under all conditions, and doesn't even require a steering wheel or driver's seat.

while Elon Musk was confident that L5 autonomy could be achieved with a software update, the reality is that we still don't fully meet even the safety standards of L2. Labeling and advertising FSD as "fully autonomous" has created a huge gap between technical limitations and marketing hype, which is a systemic risk that will inevitably lead to customer deception lawsuits and product liability controversies.

2. vulnerabilities of camera-based systems (Vision-Only)

tesla eschews expensive LiDAR sensors in favor of a "vision-only" strategy based on eight cameras and radar. this approach has the advantage of significantly reducing hardware costs per vehicle and enabling rapid software scaling, but it also exposes a critical weakness in terms of technical safety.

because camera-based systems capture three-dimensional spatial information in two-dimensional images, they are complex to recover, and they are highly vulnerable to adverse weather and unfavorable visibility conditions, such as backlighting, sunlight reflection, and fog. past investigations of fatal accidents involving Autopilot have also pointed to structural flaws in the technology itself that prevent it from detecting stationary vehicles. tesla's strategic choice to reject lidar for cost efficiency is analyzed as the root cause of the current safety controversy and legal risk.

III. Legal Liability Battleground: Discussing Product Liability in the Driverless Age

1. the significant precedent set by the Autopilot accident verdict

the most serious of the legal battles surrounding Tesla's self-driving technology is the verdict in a product liability lawsuit over a fatal accident that occurred while Autopilot was operating. while the court found that the driver's apparent inattention contributed to the accident, it also found some (33%) technical liability on the part of the manufacturer, Tesla, by recognizing the imperfections and lack of warnings in the Autopilot system itself.

this jury verdict sets an important precedent that lowers the threshold for product liability in disputes involving self-driving technology. it means that the core problem with the FSD is not just a software update, but a structural defect in the "article of manufacture" itself that is supposed to ensure safety. tesla is vigorously appealing the ruling, as this precedent will have a significant impact on the amount of compensation that can be awarded for accidents that may occur during the operation of robotaxis in the future.

2. legal liability shifts as robotaxis are commercialized

when the level of autonomy goes beyond L3 (conditional automation) and enters L4 (highly automated) or L5, legal liability in the event of an accident completely shifts from the driver to the manufacturer or system operator. if Tesla were to launch a robotaxi business in earnest, it would incur huge liability costs and insurance premiums for every technical error and resulting accident.

tesla, which is already facing legal pressure for misrepresentation and product liability for its current L2 system, will have to meet even more stringent safety and legal insurance standards to introduce a fully driverless L4 system, suggesting that Tesla will need to make significant additional safety investments to realize the explosive profitability of robotaxis that it expects in its investment forecast.

IV. The race to make robotaxis a reality: weimo's 'safe monopoly' and Tesla's 'cost advantage'

1. weimo's dominant market position

while Tesla is mired in legal controversy and technological hype, Google's self-driving subsidiary Waymo has established a virtual monopoly in the U.S. robotaxi market based on its L4 technology, which integrates lidar and high-definition maps (HD Maps). waymo offers driverless, driverless for-hire services in major cities such as San Francisco, Phoenix, and Los Angeles, and has proven its operational performance, with weekly paid rides exceeding 100,000 and recently surging to more than 250,000.

industry estimates suggest that Waymo is already generating hundreds of millions of dollars in annual revenue, with key markets like San Francisco on the verge of breaking even. weimo's "slow and safe" approach has won the trust of regulators, captured the market, and set a realistic baseline for robotaxi commercialization.

2. tesla's robotaxi trials are a civilian affair

tesla has also launched limited trials to launch its robotaxi service, with trials for influencers and limited customers in Austin, Texas, and Phoenix, Arizona, but these were more of a demonstration of L2-based FSD technology than L4 driverless operations.

in fact, early test footage from Austin showed technical errors, with robotaxi vehicles struggling to make left turns at intersections, speeding over the speed limit, and unstable stops requiring intervention by remote-controlled staff. the Arizona Department of Transportation also granted Tesla a test drive with the condition that a "safety officer be present," a move that reflects regulators' low confidence in Tesla's technology.

tesla and Weimo's robotaxi strategies contrast starkly. while Weimo has prioritized safety and reliability to capture the L4 market, Tesla is attempting to push the limits of L2 technology with software improvements, eschewing lidar for cost-effectiveness and scalability.

comparing Tesla and Waymo's robotaxi strategies

category tesla (FSD + robotaxis) waymo primary Sensor Strategy camera-based (Vision-Only) integrated Lidar, Radar, High Definition Maps (HD Map) current Technology Level (Assessment) level 2 (Supervision Required) level 4 (Driverless in certain areas) commercialization Status limited piloting phase (safety personnel required) paid driverless services in operation in several cities key strengths overwhelmingly cost competitive, based on rapid software updates high safety, regulatory trust, and first-mover advantage key risks legal questions about technology safety and reliability, marketing hype controversy large upfront investment, time to profitability

if Tesla is unable to close the technical safety gap, it will not be able to enter the L4 driverless service market, even with its overwhelming cost-effectiveness, making it difficult to compete with Weimo.

V. Elon Musk's Risk Premium and Investment Outlook

tesla's stock valuation is based on more than just the number of vehicles it sells, but on future speculation that its FSD technology will be perfected and turned into a robotaxi AI platform. global investment bank Morgan Stanley has even put forward a bullish scenario in which Tesla's stock price could more than double from where it is today if the company establishes itself as a leader in robotics and autonomous driving and generates recurring subscription revenue (SaaS) from its AI-powered robotaxi service. dominating the robotaxi market, which is forecast to be worth $275.1 billion in 2032, is central to Tesla's enterprise value.

but Elon Musk's repeated delays in delivering on his promise to commercialize robotaxis are undermining long-term investor confidence. even worse is the escalating legal battle. expanding legal liability and regulatory pressure threaten the core premise of the FSD subscription model: "L4/L5 level of maturity. if Tesla is unable to resolve the technical and legal issues and its robotaxi vision becomes unrealizable in the long term, the expectations for this AI platform could be invalidated, leading to significant downward pressure on the stock price.

VI. Conclusion: A Realistic Roadmap for an Achievable Future

tesla's fully autonomous technology ultimately appears to be an achievable future, but the legal and technical dilemmas the company is currently facing continue to delay the commercialization of its robotaxis and give competitor Waymo the opportunity to gain first-mover advantage.

in the courtroom, Tesla FSD must address two key challenges to regain market trust and successfully launch its robotaxi business: first, managing regulatory risk- modifying the term "fully autonomous" to align with realistic L2 technology levels and minimizing the risk of legal action for over-hyping. Second, building technology trust. tesla needs to overcome the limitations of its vision system and obtain flawless driving data that meets Weimo's safety standards for L4 driverless driving.

unless Tesla can regain regulatory and public trust in safety beyond mere cost-effectiveness, the robotaxi market will be dominated by Weimo, the "safest driver". tesla's future depends on a realistic roadmap that acknowledges technological realities and prioritizes safety, not aggressive visioning.