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, Tesla hosted the Mayor of Rome for his first Italian FSD (Supervised) road demonstration, marking a significant milestone for AI-driven autonomous vehicle technology in Italy. The event represented the first time an Italian mayor personally tested Tesla’s advanced driver-assistance system in real-world urban conditions on Rome’s streets (Source: Teslarati). This demonstration highlights the growing acceptance and regulatory interest in AI-powered mobility solutions, signaling expanded business opportunities for AI and autonomous vehicle companies in the European market.

According to Sawyer Merritt on Twitter, Tesla has extended its Full Self-Driving (Supervised) demo program in Europe by three months, now running until the end of March 2026 due to high consumer demand. This extension gives more users in key European markets, including Germany, France, and Italy, the opportunity to experience Tesla’s AI-powered autonomous driving technology for the first time. The move highlights the growing momentum for AI-driven mobility solutions in Europe and presents significant business opportunities for Tesla and other autonomous vehicle technology providers aiming to capture early market share. The prolonged demo period is expected to accelerate consumer adoption and regulatory acceptance of advanced driver assistance systems in Europe (Source: Sawyer Merritt, Twitter).

According to Sawyer Merritt, the latest test of Tesla's Full Self-Driving (FSD) V14.2.1 in a night snowstorm highlights significant improvements in AI-powered autonomous vehicle navigation under harsh weather conditions. The demonstration revealed how FSD's neural networks manage real-time perception challenges like reduced visibility and slippery roads, leveraging advanced computer vision and sensor fusion techniques (source: Sawyer Merritt on Twitter). This test underscores growing business opportunities for AI-driven safety features in the automotive sector, especially for regions with severe winter climates. The practical application of FSD V14.2.1 illustrates the expanding role of artificial intelligence in enhancing road safety and reliability, positioning Tesla as a leader in the AI-powered mobility market.

According to Sawyer Merritt, Tesla has started preparing for Full Self-Driving (FSD) tests in Austria by posting a new job listing in Vienna for a vehicle operator, indicating a strategic move to expand its AI-powered autonomous driving program across Europe. This hiring initiative highlights Tesla’s commitment to scaling AI-driven vehicle technology and opens new business opportunities for AI-enabled mobility services in European markets. Verified by the job listing referenced by Sawyer Merritt on Twitter, this development signals increased competition and innovation in the European AI automotive sector.

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 on Twitter, Tesla is rolling out a free 30-day trial of its FSD (Supervised) V14 for approximately 1.5 million North American Tesla owners with HW4 hardware who have not yet purchased the FSD package. This initiative is expected to rapidly increase the total mileage driven under FSD, providing Tesla with substantial new autonomous driving data to enhance AI model accuracy and safety features. For the AI industry, this move demonstrates large-scale real-world deployment of supervised AI, creates significant opportunities for data-driven improvements in autonomous vehicle algorithms, and signals accelerating consumer adoption of advanced driver-assistance technology. Business-wise, the trial could boost FSD subscription conversions and set a precedent for mass-market AI technology rollouts (source: Sawyer Merritt, Twitter).

According to Sawyer Merritt on Twitter, Tesla is encouraging users to give friends and family the experience of a Full Self-Driving (FSD) ride this holiday season, highlighting the growing accessibility and consumer interest in autonomous vehicle technology (source: Sawyer Merritt, Twitter, Nov 26, 2025). This initiative demonstrates Tesla’s strategy to increase public engagement with its AI-powered FSD system, offering a practical showcase of advanced driver assistance and real-world applications. For the AI industry, this trend signals expanding market opportunities for AI-driven mobility solutions and underlines the importance of consumer education in accelerating the adoption of autonomous driving technologies.

According to Sawyer Merritt, Tesla has started running paid advertisements on X to promote its FSD (Supervised) feature, highlighting the company’s focus on expanding the adoption of AI-powered autonomous driving technology. This marks a strategic move to increase consumer awareness and accelerate market penetration for Tesla’s Full Self-Driving capabilities. The campaign emphasizes the practical applications of AI in real-world driving scenarios, reinforcing Tesla’s leadership in automotive AI and positioning the FSD (Supervised) solution as a key competitive differentiator in the growing autonomous vehicle market (source: @SawyerMerritt, Nov 25, 2025).

According to Sawyer Merritt, Tesla’s new Self-Driving stats page in software version V14.2 introduces a gamification element to Full Self-Driving (FSD) by displaying user-specific driving metrics, motivating drivers to achieve a 100% self-driving percentage (source: @SawyerMerritt, Nov 25, 2025). This AI-driven feature is expected to increase FSD usage rates, offering valuable real-world data for Tesla's machine learning systems and enhancing business opportunities through user engagement. The potential addition of leaderboards could further boost driver participation, making FSD data collection more robust and accelerating development of autonomous driving technology.

According to @XPengMotors, China’s intelligent driving sector has demonstrated significant progress, with XPENG G9’s Navigation Guided Pilot (NGP) system confidently handling real-world road conditions during recent key opinion leader (KOL) evaluations. The AI-driven NGP feature exhibited advanced capabilities in terms of safety, comfort, and reliability, suggesting that Chinese autonomous driving technology is now directly competing with established systems like Tesla’s Full Self-Driving (FSD). This development signals new business opportunities for AI-driven mobility solutions and highlights the rapid evolution of China’s AI automotive ecosystem (source: @XPengMotors, Nov 25, 2025).

According to Sawyer Merritt, European regulators have allowed Tesla to demonstrate its Full Self-Driving (FSD) system in February 2025, but have not yet committed to granting approval for commercial deployment (source: Sawyer Merritt on Twitter, Nov 24, 2025). This move highlights the complex regulatory environment for AI-powered autonomous vehicles in the EU, presenting both challenges and opportunities for AI businesses. Delays in approval could slow down the adoption of autonomous driving technology, but also create demand for compliance solutions and localized AI safety systems tailored to European standards. This development underscores the importance of understanding regulatory trends when planning AI-driven mobility solutions and market entry strategies in Europe.

According to @ai_darpa, Tesla's supervised Full Self-Driving (FSD) technology is poised for its first regulatory approval in Europe, with the Netherlands expected to grant the green light as early as February 2026 (source: @ai_darpa, Nov 24, 2025). This development follows years of regulatory standoffs, as Tesla argued that outdated EU rules made FSD deployment illegal in its current form. By leveraging Article 39 of EU law to seek a national exemption from the Dutch authority RDW, Tesla could pave the way for FSD’s recognition across the European Union. This strategy highlights the potential for streamlined AI-driven vehicle technology deployment and signals significant business opportunities for autonomous driving solutions in the European automotive market.

According to Sawyer Merritt on Twitter, Tesla FSD (Supervised) users are being asked to share real-world dashcam footage demonstrating how the AI technology helps avoid accidents with animals. This crowdsourced compilation highlights the practical application of Tesla's Full Self-Driving supervised AI, showcasing its ability to detect and respond to wildlife on roads. The initiative underlines the growing effectiveness of computer vision and sensor fusion in automotive AI, presenting strong business opportunities for automakers to promote AI-powered safety features. Verified footage from users will serve as concrete evidence of AI's impact on road safety, further accelerating public trust and adoption of autonomous vehicle technology (Source: @SawyerMerritt).

According to Sawyer Merritt, Tesla's FSD (Supervised) has officially launched for some HW4 owners in South Korea, making it the seventh country to receive this AI-driven autonomous driving technology. This expansion highlights Tesla's ongoing global rollout strategy for its Full Self-Driving platform, leveraging AI and advanced computer vision to enhance vehicle autonomy. The move opens new business opportunities for local partnerships, regulatory collaboration, and AI talent development in South Korea, while reinforcing Tesla's leadership in the global autonomous vehicle market. Source: x.com/Tslachan/status/1992471917589409819.

According to Sawyer Merritt on Twitter, Tesla owners have collectively driven 6.5 billion miles using the FSD (Supervised) system, with projections set to reach 7 billion miles by year-end (Source: Sawyer Merritt, Twitter, Nov 22, 2025). This milestone highlights the real-world data aggregation powering Tesla's AI-driven autonomous vehicle technology. Each mile logged provides valuable training data, enhancing the neural network and improving driver-assist algorithms. For the AI industry, this demonstrates large-scale deployment of machine learning in consumer vehicles and underscores the growing commercial and business opportunities in autonomous driving, data analytics, and fleet management solutions.

According to Sawyer Merritt, Tesla's Full Self-Driving (FSD) V14.2 (Supervised) completed a 183-mile journey with the car autonomously driving 99.13% of the distance. The route included highways, city streets, and country/dirt roads, with zero human interventions or hesitation issues noted (source: Sawyer Merritt on Twitter, Nov 22, 2025). This verified performance demonstrates significant advancements in AI-powered autonomous vehicle technology, highlighting real-world readiness and business implications for transportation, logistics, and mobility sectors. As FSD reliability improves, market opportunities expand for AI-driven mobility services, fleet management, and smart city integration.

According to Sawyer Merritt on Twitter, Tesla's Full Self-Driving (FSD) version 14.2 enabled 97% of miles driven today to be under autonomous control, highlighting a significant advancement in AI-powered vehicle automation (Source: @SawyerMerritt). This demonstrates the growing reliability and adoption of advanced driver-assistance systems, opening new business opportunities for AI integration in transportation, fleet management, and smart mobility sectors.

According to Sawyer Merritt, Piper Sandler analyst Alex Potter stated that Tesla's latest Full Self-Driving (FSD) version 14 software demonstrates AI capabilities that may already outperform average human drivers. After experiencing a flawless robotaxi ride, Potter encouraged investors to try FSD v14 firsthand, citing its advanced AI-driven performance. He reaffirmed an Overweight rating and a $500 price target for Tesla following an investor meeting at the Fremont facility. This advancement in AI-powered autonomous driving positions Tesla at the forefront of the autonomous vehicle market and highlights significant business opportunities for companies investing in AI mobility solutions (source: Sawyer Merritt on X, Nov 20, 2025).

According to Sawyer Merritt, Tesla completed over 600 supervised FSD (Full Self-Driving) test drives within the last two days at the Everything Electric Show in Melbourne, Australia, with a dedicated fleet of 20 vehicles and one day remaining for further demonstrations (source: x.com/Everyth1ngElec/status/1989857216870875526). This large-scale, real-world deployment highlights Tesla's rapid progress in AI-driven autonomous vehicle technology and its commitment to public education and user adoption. The hands-on test drives allow potential customers and industry observers to experience the latest FSD software, showcasing improvements in computer vision, sensor fusion, and end-to-end neural networks. For the AI industry, this event demonstrates increasing commercial viability and consumer trust in AI-powered mobility solutions, opening avenues for partnerships, regulatory engagement, and future business growth in autonomous transportation.