According to Sawyer Merritt on Twitter, a Tesla Model 3 running FSD V14 completed 2,013 miles in full self-driving mode without a single manual intervention, with 15% city and 85% highway driving (Source: Sawyer Merritt, Twitter). This milestone highlights significant advances in Tesla's autonomous driving capabilities and suggests robust reliability for long-distance highway applications. For AI industry stakeholders, such verified performance data strengthens business cases for deploying AI-driven mobility solutions in real-world scenarios and may accelerate regulatory approvals and commercial partnerships for autonomous vehicle technology.

According to @SawyerMerritt’s review of Tesla FSD (Supervised) in the Wall Street Journal, the transition from manual driving to AI-powered autonomy in the Model Y resulted in a notable reduction of driving stress and enhanced user satisfaction. The article highlights how Tesla's Full Self-Driving system, backed by advanced AI algorithms and real-time sensor data, provides a smoother, more consistent driving experience that outperforms human drivers in routine traffic scenarios. This user feedback underscores the immediate market potential for AI-driven autonomous vehicles, especially in urban environments where traffic congestion is a major pain point. The review also points to a growing consumer trust in AI-based driving solutions, which could accelerate adoption and present new business opportunities for automakers, software providers, and service platforms focused on AI mobility solutions (Source: @SawyerMerritt via WSJ).

According to Sawyer Merritt (@SawyerMerritt), French media tested Tesla's Full Self-Driving (FSD) V14 in France and reported that the AI system delivered impressive results, particularly in safety and human-like decision-making. The media highlighted Tesla FSD V14's advanced AI algorithms that enable safer autonomous driving and more intuitive responses to real-world traffic scenarios. The hands-on review, which included unrestricted filming, demonstrates the potential for AI-powered autonomous vehicles to increase road safety and improve user experience. This development signals significant business opportunities for AI integration in automotive markets and regulatory discussions in Europe, as referenced by the French media’s direct experience (source: x.com/juliencdt/status/1995532975593619666).

According to Sawyer Merritt on Twitter, Tesla has introduced a significant update to its autonomous driving system, leveraging advanced AI models to enhance vehicle perception and decision-making (source: x.com/SawyerMerritt/status/1994865176869572680). This update integrates real-time machine learning algorithms that improve navigation accuracy, obstacle detection, and adaptive driving behavior, setting a new benchmark in the autonomous vehicle industry. For businesses, this demonstrates Tesla's ongoing commitment to AI-powered automotive innovation and opens opportunities for AI suppliers and mobility solution providers to collaborate on next-generation smart transportation systems.

According to Sawyer Merritt, Tesla’s Full Self-Driving (FSD) program, which leverages advanced AI and supervised autonomy, is rapidly gaining traction across Europe, with Spain standing out as a major testing center thanks to the country's new ES-AV framework program (source: teslarati.com). The ES-AV initiative enables regulatory support for autonomous vehicle technologies, allowing Tesla to conduct live FSD trials. This development highlights critical business opportunities for AI-driven mobility solutions, as European markets increasingly open to advanced driver-assistance systems. The expansion of FSD testing in Spain positions Tesla—and AI-powered automotive technologies more broadly—as central players in the future of smart transportation across the region.

According to Sawyer Merritt (@SawyerMerritt), some Tesla owners in North America equipped with Hardware 4 (HW4) who have not purchased Full Self-Driving (FSD) are now receiving mobile notifications via the Tesla app, granting them a free FSD (Supervised) trial and immediate access to FSD V14.2.1 (source: x.com/BabyTesla3/status/1994274708213137440). This move demonstrates Tesla’s push to increase adoption of its AI-powered autonomous driving software by allowing more users to experience advanced driver-assistance features firsthand. For the AI industry, this strategy highlights the growing importance of trial-based customer acquisition models and the practical deployment of real-world AI systems in automotive contexts. The immediate availability of FSD V14.2.1 to non-paying users presents new data collection opportunities and could accelerate both product improvement and market penetration for AI-driven mobility solutions (source: Sawyer Merritt, Nov 28, 2025).

According to Sawyer Merritt on Twitter, Tesla is actively encouraging its European owners to contact the Dutch regulators (RDW) to support the approval of Full Self-Driving (FSD) technology. Tesla has released detailed safety evidence in its latest Safety Report to address regulatory concerns and demonstrate the robustness of its AI-driven autonomous driving system. This move highlights Tesla’s strategic efforts to accelerate FSD adoption in the European market by leveraging user advocacy and transparent AI safety data. For AI industry stakeholders, this development signals growing opportunities for regulatory collaboration and expansion of autonomous vehicle AI applications across Europe (Source: Sawyer Merritt, Twitter).

According to Sawyer Merritt, Tesla's FSD V14.2 introduces a Self-Driving stats section that displays exact accumulated autonomous miles for Model Y users (source: Sawyer Merritt on Twitter). This new feature provides drivers with transparent data on Full Self-Driving (FSD) usage, which can enhance user trust and support future insurance products based on actual self-driving mileage. The update demonstrates Tesla's focus on leveraging AI-powered metrics for real-world autonomous vehicle performance, creating new business opportunities in data-driven automotive services and AI-based fleet management.

According to Sawyer Merritt, Tesla has officially received approval from the Arizona Department of Transportation to launch its Robotaxi service on public roads across the state. Tesla applied for a Transportation Network Company (TNC) permit on November 13th, 2025, and was granted permission to operate autonomously as of November 17th, 2025 (source: Sawyer Merritt, Twitter). This approval enables Tesla to run a paid, fully autonomous ride-hailing service statewide, not limited to any specific city. The decision marks a major milestone for commercial AI-powered transportation, opening up significant business opportunities for autonomous vehicle deployment, fleet management, and AI-driven mobility services in Arizona. The move is expected to accelerate adoption of self-driving technology and may influence regulatory trends and market competition in the autonomous mobility sector.

According to Sawyer Merritt, Stifel TSLA analyst Stephen Gengaro highlights that increased exposure to Tesla's Full Self-Driving (FSD) AI system is driving higher adoption rates. Gengaro notes that after experiencing multiple FSD iterations firsthand, the technology has shown significant improvements. He emphasizes that as potential customers experience FSD directly, their comfort and willingness to pay for the advanced AI-powered system increases, suggesting practical business opportunities for Tesla as AI-driven autonomous driving becomes more mainstream (source: Sawyer Merritt on Twitter).

According to Sawyer Merritt, The Boring Company has released a new video demonstrating Tesla's Full Self-Driving (FSD) Supervised AI operating within the Las Vegas tunnel system. This footage highlights the practical application of advanced autonomous vehicle technology in a controlled underground environment, showcasing AI-driven navigation and real-time decision-making. The demonstration illustrates significant progress toward integrating AI-powered transportation in public infrastructure, offering opportunities for businesses to deploy autonomous vehicle fleets in specialized transit scenarios (Source: Sawyer Merritt on Twitter).

According to Sawyer Merritt, Tesla's FSD (Supervised) was recently showcased in multiple real-world driving situations, demonstrating significant advancements in AI-powered autonomous vehicle technology (Source: Sawyer Merritt, Twitter, Nov 14, 2025). The videos highlighted how the supervised Full Self-Driving system navigates complex urban environments, handles unprotected turns, and responds to unpredictable road conditions with improved safety and reliability. The practical applications of Tesla's AI-driven FSD system indicate substantial business opportunities for autonomous vehicle deployment, fleet management, and smart city integration. This development underscores Tesla’s ongoing leadership in AI-based transportation solutions and points to an accelerating trend toward fully autonomous mobility platforms.

According to Sawyer Merritt, the Tesla Cybertruck demonstrated advanced AI-powered autopilot capabilities during a real-world test at Stratford Hall, navigating dirt roads and grassy fields with autonomous precision (source: Sawyer Merritt on Twitter, Oct 27, 2025). The review emphasizes the practical applications of Tesla's AI systems, noting that the truck successfully self-drove back to the main house, identified fence openings, and operated reliably in varied terrain. These capabilities underline significant business opportunities for AI-driven autonomous vehicles in logistics, agriculture, and event management, as robust navigation and automation reduce operational costs and increase efficiency. The Cybertruck's AI-enabled features, such as automatic tonneau cover controls and accurate range estimation, further illustrate how intelligent vehicle systems can enhance user experience and address real-world needs.

According to Sawyer Merritt on Twitter, Tesla has released a new Full Self-Driving (FSD) software update approximately every 3.5 days over the past 2.5 weeks, totaling five updates (Source: Sawyer Merritt, Twitter). This accelerated release cadence highlights Tesla's intensified focus on AI-driven autonomous vehicle technology and agile software iteration. The rapid deployment suggests a significant scaling of Tesla’s AI engineering operations, offering business opportunities for vendors in automotive AI, real-time machine learning, and advanced driver-assistance systems. This trend underscores the growing importance of continuous AI improvement and the competitive advantage it provides in the self-driving car market.