Latest news with #autonomousDriving
The Independent
6 hours ago
- Automotive
- The Independent
Watch: Tesla drives itself from factory to new owner in world's first autonomous delivery
Tesla says it has achieved a groundbreaking milestone in autonomous driving: a car that delivers itself with no human involvement whatsoever. In footage posted to social media by Elon Musk 's electric vehicle company, a brand-new Tesla made a fully autonomous journey from the Gigafactory Texas manufacturing plant to its new owner's home — roughly a 30-minute drive — without any human intervention. The route reportedly included parking lots and highways to city streets, all navigated solely by Tesla's Full Self- Driving (FSD) system.
Yahoo
11 hours ago
- Automotive
- Yahoo
Autonomous Driving Market Size To Reach US$ 668.64 Billion By 2033
Autonomous driving market demonstrates exceptional growth potential through expanding urban deployment opportunities, evolving regulatory frameworks, increasing consumer acceptance, technological maturation, and strategic industry partnerships positioning this sector for transformative expansion across passenger, commercial, and specialized vehicle segments globally. Chicago , June 30, 2025 (GLOBE NEWSWIRE) -- The global autonomous driving market was valued at US$ 170.22 billion in 2024 and is expected to reach US$ 668.64 billion by 2033, growing at a CAGR of 17.63% during the forecast period 2025–2033. The autonomous driving market continues to witness groundbreaking technological advancements that are fundamentally transforming vehicle automation capabilities. Leading manufacturers are now deploying sophisticated sensor fusion systems that combine LiDAR, radar, and high-resolution cameras to create comprehensive 360-degree environmental awareness. Tesla's Full Self-Driving Beta V12, released in early 2024, demonstrates neural network capabilities processing over 10 billion parameters in real-time. Meanwhile, Waymo's fifth-generation Driver system has reduced sensor costs by half while improving detection range to 500 meters. These advancements enable vehicles to navigate complex urban environments with unprecedented precision, handling scenarios like construction zones and emergency vehicle responses that previously challenged autonomous systems. Download Sample Pages: Furthermore, artificial intelligence algorithms have evolved significantly, with companies implementing transformer-based architectures originally developed for language models. NVIDIA's DRIVE Thor platform, announced for 2025 vehicles, delivers 2,000 trillion operations per second, enabling simultaneous processing of multiple AI workloads. This computational power allows vehicles to predict pedestrian behavior up to 8 seconds in advance and anticipate traffic patterns across 12 city blocks. Mercedes-Benz's DRIVE PILOT system, certified for Level 3 automation in Nevada and California, represents a crucial milestone where legal responsibility shifts from driver to manufacturer under specific conditions. Key Findings in Autonomous Driving Market Market Forecast (2033) US$ 668.64 billion CAGR 17.63% Largest Region (2024) Asia Pacific (40.37%) By Vehicle Type SUVs (34.20%) By Propulsion Type EVs (45.36%) By Autonomous Level Level 0: No Driving Automation (43.63%) By Component Hardware (64.94%) By Vehicle Application Passenger/Private Vehicles (60.07%) Top Drivers Technological advancements in AI enhance autonomous vehicle decision-making capabilities. Growing consumer demand for safer, efficient transportation boosts market adoption. Strategic partnerships among automakers and tech firms accelerate innovation pace. Top Trends Shift to shared mobility with robotaxis transforming urban transportation solutions. Integration of electric vehicles with autonomous tech for sustainable driving. Personalized in-car experiences using AI for enhanced driver comfort features. Top Challenges Regulatory inconsistencies across regions hinder widespread autonomous vehicle deployment efforts. Technological limitations in complex environments challenge full autonomy achievement goals. Public skepticism and privacy concerns slow trust in self-driving technology. Leading Players Dominating the Global Autonomous Driving Market Competition The market landscape features intense competition among established automakers and technology giants, each pursuing distinct technological pathways. After Tesla, Waymo maintains its leadership position with over 700 vehicles operating across Phoenix, San Francisco, and Los Angeles, completing more than 150,000 paid rides weekly as of mid-2024. General Motors' Cruise division, despite temporary setbacks, has resumed operations with enhanced safety protocols and recently secured partnerships with Uber for robotaxi services starting in 2025. Chinese companies like Baidu Apollo have deployed 500 robotaxis across 10 cities, demonstrating rapid expansion in Asian markets. Additionally, traditional automakers including BMW, Volkswagen, and Stellantis have formed strategic alliances with technology providers to accelerate their autonomous capabilities. Moreover, the competitive dynamics of the autonomous driving market reveal distinct approaches to market penetration and technology development. Apple's Project Titan, though scaled back from full autonomy ambitions, continues development focusing on advanced driver assistance systems with potential launch by 2028. Amazon's Zoox has begun testing purpose-built autonomous vehicles without steering wheels in Las Vegas, representing a departure from retrofitting existing vehicles. Intel's Mobileye maintains dominance in vision-based systems, powering over 150 million vehicles globally with its EyeQ chips. These diverse strategies reflect varying philosophies about the optimal path toward full autonomy, with some prioritizing gradual feature enhancement while others pursue revolutionary vehicle redesigns. Innovative Business Models Transforming the Autonomous Driving Market Economics Innovative Business Models Transforming The market has spawned revolutionary business models that challenge traditional automotive ownership paradigms Robotaxi services represent the most transformative approach, with companies like Waymo and Cruise operating mobility-as-a-service platforms that charge per mile rather than requiring vehicle purchase. These services typically charge between US$ 3-5 per mile in major cities, competing directly with traditional ride-hailing while eliminating driver costs. Subscription-based models have emerged, with Volvo offering autonomous features through monthly software updates priced at US$ 100-200, creating recurring revenue streams. Furthermore, data monetization has become crucial, as autonomous vehicles generate approximately 4 terabytes of data daily, which companies leverage for mapping services, traffic optimization, and urban planning partnerships worth millions annually. Additionally, innovative financing structures are reshaping vehicle acquisition in the autonomous driving market. Fleet management companies now offer "autonomy-as-a-service" packages where businesses lease autonomous capabilities separately from vehicles, reducing upfront investment barriers. Insurance models have evolved dramatically, with usage-based policies that adjust premiums based on autonomous system engagement levels. Companies like State Farm and Progressive have developed specialized coverage products for semi-autonomous vehicles, pricing risk differently when advanced driver assistance systems are active. Partnership ecosystems have become essential, exemplified by Ford and Volkswagen's Argo AI collaboration, which pooled US$ 7 billion in resources before strategic realignment, demonstrating how the market demands collaborative approaches to overcome technological and financial challenges. Advanced Connectivity Solutions Powering the Modern Market Momentum The autonomous driving market relies heavily on sophisticated connectivity infrastructure that enables real-time communication between vehicles, infrastructure, and cloud systems. Fifth-generation cellular networks have become foundational, providing sub-10 millisecond latency essential for vehicle-to-everything (V2X) communications. Qualcomm's Snapdragon Digital Chassis platform, adopted by over 25 automakers, integrates 5G modems capable of 10 gigabit speeds, enabling instantaneous map updates and remote vehicle monitoring. Dedicated short-range communications (DSRC) technology operates alongside cellular networks, facilitating direct vehicle-to-vehicle exchanges within 300-meter ranges. Cities like Detroit and Seoul have installed over 1,000 roadside units supporting both protocols, creating comprehensive communication networks that enhance autonomous vehicle performance through traffic signal timing data and hazard warnings. Moreover, edge computing infrastructure has emerged as critical for reducing latency in safety-critical applications in the autonomous driving market. Amazon Web Services and Microsoft Azure have deployed edge nodes at cellular towers, processing sensor data within 50 kilometers of vehicles rather than distant data centers. This distributed architecture enables autonomous vehicles to access high-definition maps updated every few seconds, incorporating real-time construction zones and accident locations. Satellite connectivity provides redundancy, with SpaceX's Starlink constellation offering backup communication channels for autonomous fleets operating in rural areas. The integration of multiple connectivity technologies ensures continuous operation even when individual networks experience disruptions, making the market more reliable and capable of handling diverse operational environments across urban and rural settings. Revolutionary Power Sources Enabling Sustainable Growth The autonomous driving market faces unique energy challenges as computational requirements for sensors and processors can consume up to 5 kilowatts continuously. Electric powertrains have become the preferred choice, with companies like Rivian and Lucid Motors designing vehicles specifically to accommodate autonomous system power demands through larger battery packs exceeding 200 kilowatt-hours. Solid-state batteries, entering production through partnerships between Toyota and Panasonic, promise energy density improvements of 2.5 times current lithium-ion technology while reducing charging times to under 10 minutes. These advancements directly address range anxiety concerns that could limit autonomous vehicle deployment, particularly for continuous-operation robotaxi services. Furthermore, regenerative braking systems have been optimized for autonomous driving patterns, recovering up to 30 kilowatts during deceleration events. Additionally, alternative power solutions are emerging to support extended autonomous driving market operations. Hydrogen fuel cells provide rapid refueling capabilities crucial for commercial autonomous trucks, with companies like Nikola and Hyundai developing systems delivering 1,000-kilometer ranges. Solar panel integration on vehicle surfaces, pioneered by Lightyear and Aptera, supplements primary power systems with up to 7 kilowatts daily generation. Wireless charging infrastructure enables autonomous vehicles to recharge without human intervention, with WiTricity installing inductive charging pads at designated parking locations. These diverse power solutions ensure the market can scale sustainably while meeting increasing computational demands and operational requirements across various vehicle types and use cases. Global Manufacturing Capacity Expansion in the Autonomous Driving Market The market has triggered massive manufacturing infrastructure investments as companies prepare for scaled production Semiconductor fabrication facilities specifically designed for automotive-grade chips have expanded significantly, with TSMC's Arizona plant dedicating 30,000 wafers monthly to autonomous vehicle processors starting 2024. LiDAR manufacturers like Luminar have established production lines capable of delivering 250,000 units annually, addressing previous bottlenecks that limited autonomous vehicle deployment. Assembly plants are being retrofitted with specialized equipment for sensor calibration, requiring investments exceeding US$ 50 million per facility. Ford's Blue Oval City in Tennessee incorporates dedicated autonomous vehicle production lines alongside traditional manufacturing, demonstrating how established automakers adapt existing infrastructure. These capacity expansions ensure component availability as demand accelerates. Moreover, supply chain localization has become crucial for maintaining production reliability and reducing costs across the global autonomous driving market. Continental and Bosch have established regional sensor manufacturing hubs across North America, Europe, and Asia, reducing dependency on single-source suppliers. Raw material sourcing for rare earth elements used in sensors and motors has prompted vertical integration strategies, with General Motors investing US$ 2.6 billion in lithium processing facilities. Quality control systems have evolved to meet autonomous vehicle requirements, implementing automated testing procedures that verify sensor performance across temperature ranges from -40 to 85 degrees Celsius. Recent Deployments and Real-World Testing in Autonomous Driving Market In June 2025, Waymo expanded its robotaxi services to 80 square miles across Los Angeles, San Francisco, and Silicon Valley, operating fully autonomous vehicles without safety drivers. In May 2025, WeRide partnered with Uber to launch autonomous taxi services across 15 new global cities, integrating their fleet into Uber's platform . In May 2025, Aurora Innovation launched commercial driverless trucking service between Dallas and Houston, with plans to expand to El Paso and Phoenix. In June 2025, Zoox Zoox has said that paid robotaxi rides to the public will begin in Las Vegas soon, followed by San Francisco. In May 2025, rolled out 1,000 autonomous delivery robots across Chinese university campuses, capable of carrying 300 kg loads at 15 KPH. In March 2025, Lyft and May Mobility launched autonomous Toyota Sienna minivans in Atlanta, planning expansion to Dallas. In Decem 2024, Karsan Autonomous e-Atak began operations in Gothenburg, Sweden, marking a significant milestone in European autonomous public transportation. Modify Report as Per Requirements: Future Technological Horizons for the Global Autonomous Driving Market The autonomous driving market stands poised for transformative advances as emerging technologies mature and converge Quantum computing applications in route optimization promise to revolutionize traffic flow, with IBM and Volkswagen demonstrating algorithms that reduce urban congestion by optimizing thousands of vehicles simultaneously. Brain-computer interfaces under development by Neuralink and similar ventures could enable direct neural control of autonomous vehicles for mobility-impaired individuals by 2030. Augmented reality windshields will overlay navigation information directly onto real-world views, with companies like WayRay developing holographic displays visible in bright sunlight. These technologies will fundamentally alter human-vehicle interaction paradigms. Additionally, biomimetic sensors inspired by insect vision systems promise enhanced low-light performance while consuming minimal power, addressing current sensor limitations. Moreover, infrastructure evolution will profoundly impact autonomous capabilities over the coming decade. Smart city initiatives incorporating vehicle-to-infrastructure communication will create "digital twins" of entire urban areas, enabling predictive traffic management and eliminating accidents at intersections. Dedicated autonomous vehicle lanes on highways, already under construction in Michigan and California, will enable platooning of vehicles traveling at 150 kilometers per hour with minimal spacing. Energy infrastructure will evolve to support autonomous fleets, with dynamic wireless charging embedded in roadways eliminating range limitations. International standardization efforts through ISO and SAE will establish universal protocols for cross-border autonomous operations. The autonomous driving market will ultimately transform from isolated vehicle intelligence to interconnected transportation ecosystems, where vehicles, infrastructure, and users collaborate seamlessly to create safer, more efficient mobility solutions that reshape urban planning and human movement patterns globally. Global Autonomous Driving Market Key Players: NVIDIA Corporation IPG Automotive GmbH KPIT Technologies Ltd Waymo LLC Aptiv PLC Infineon Technologies AG Motional, Inc . Tesla Inc. Other Prominent Players Key Segmentation: By Component Hardware LiDAR (Light Detection and Ranging) Sensors Cameras RADAR (Radio Detection and Ranging) Sensors Ultrasonic Sensors GPS and IMU (Inertial Measurement Unit) ECUs (Electronic Control Units) Connectivity Modules (V2X, 5G) Software Solutions AI Algorithms (Machine Learning, Deep Learning) Mapping & Localization Software Sensor Fusion Algorithms Path Planning & Control Software Cybersecurity Solutions Services Professional Integration Services Consulting Services Customization & Development Managed Remote Monitoring & Diagnostics Software Updates & Patches Fleet Management Data Storage & Management By Autonomous Level Level 0: no driving automation Level 1: driver assistance Level 2: partial driving automation Level 3: conditional driving automation Level 4: high driving automation Level 5: full driving automation By Vehicle Type Sedans SUVs Buses Truck Tractor Others By Propulsion Type Internal Combustion Engine (ICE) Vehicles Electric Vehicles (EVs) Hybrid Vehicles By Vehicle Application Passenger/Private Vehicles Commercial Vehicles Ride Hailing Public Transport Autonomous Buses & Shuttles AI-Based Route Optimization for Mass Transit Logistics Autonomous Freight Trucks & Delivery Vans AI-Powered Last-Mile Delivery Vehicles Warehouse & Distribution Center Autonomous Fleets Heavy/Off-road Vehicles Mining Warehouse Others By Region North America Europe Asia Pacific Middle East Africa South America View the Table of Contents to select and purchase individual chapters: About Astute Analytica Astute Analytica is a global market research and advisory firm providing data-driven insights across industries such as technology, healthcare, chemicals, semiconductors, FMCG, and more. We publish multiple reports daily, equipping businesses with the intelligence they need to navigate market trends, emerging opportunities, competitive landscapes, and technological advancements. With a team of experienced business analysts, economists, and industry experts, we deliver accurate, in-depth, and actionable research tailored to meet the strategic needs of our clients. At Astute Analytica, our clients come first, and we are committed to delivering cost-effective, high-value research solutions that drive success in an evolving marketplace. Contact Us:Astute AnalyticaPhone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World)For Sales Enquiries: sales@ Follow us on: LinkedIn | Twitter | YouTube CONTACT: Contact Us: Astute Analytica Phone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World) For Sales Enquiries: sales@ Website: in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Geeky Gadgets
16 hours ago
- Automotive
- Geeky Gadgets
Tesla's Robotaxi : How Your Car Could Earn While You Sleep
Imagine a world where your car not only drives itself but also earns money for you while you sleep. Tesla's ambitious Robotaxi initiative is turning this vision into reality, promising to transform urban mobility and redefine the economics of car ownership. With its innovative reliance on vision-based systems and neural networks, Tesla is pushing the boundaries of autonomous driving, aiming to make self-driving cars both scalable and accessible. Yet, this bold leap into the future raises pressing questions: Can AI truly master the chaos of human traffic? And what happens when machines become integral to our daily lives? The answers could reshape not just how we travel, but how we live. Wes Roth explores the new technology behind Tesla's Robotaxi, from its reliance on AI-driven decision-making to its potential to transform cars into revenue-generating assets. You'll discover how Tesla's approach differs from competitors like Waymo, why safety remains its ultimate benchmark, and how this innovation could disrupt industries far beyond transportation. But the road to autonomy isn't without its challenges—ethical dilemmas, unpredictable human behavior, and the limits of current technology all loom large. As we unpack the promise and pitfalls of Tesla's Robotaxi, one thing becomes clear: this isn't just about cars—it's about the future of AI's role in society. Tesla's Robotaxi Vision What Early Trials Reveal The initial rollout of Tesla's Robotaxi program has provided valuable insights into the capabilities and limitations of its Full Self-Driving (FSD) system. Operating within geofenced areas, these autonomous vehicles are currently supervised by human safety operators to ensure smooth and secure operation. Early reports from users indicate that the system performs well in urban environments, managing tasks such as lane changes, traffic signal recognition, and obstacle avoidance with notable efficiency. However, the presence of safety monitors underscores the ongoing need for refinement. Tesla continues to enhance the reliability of its AI systems, addressing challenges such as unpredictable human behavior and complex traffic scenarios. These trials serve as a critical testing ground, helping Tesla identify areas for improvement while building confidence in the system's capabilities. How Tesla Stands Out from Competitors Tesla's approach to autonomous driving sets it apart from competitors like Waymo, primarily due to its reliance on a vision-based system rather than LiDAR or radar sensors. Tesla's system uses eight cameras and advanced neural networks to interpret its surroundings, offering a more cost-effective and scalable solution. This approach enables Tesla to deploy its technology across a broader range of locations without the need for detailed pre-mapped environments. While this vision-based system offers significant advantages in terms of affordability and scalability, it also faces challenges. For instance, extreme weather conditions such as heavy rain or snow can impair the performance of cameras, whereas sensor-based systems like Waymo's may perform better in such scenarios. Despite these limitations, Tesla's focus on creating a system that balances cost and functionality could position it as a leader in the race for mass adoption of autonomous vehicles. Tesla Robotaxi Explained: AI, Revenue Potential & Ethical Challenges Watch this video on YouTube. Advance your skills in Tesla Robotaxi by reading more of our detailed content. Safety: The Ultimate Benchmark Safety remains the cornerstone of Tesla's autonomous driving ambitions. The company is striving to achieve '99.999% reliability,' a standard often referred to as 'chasing another nine.' This level of reliability is critical for gaining public trust and making sure the widespread adoption of autonomous vehicles. Tesla's vision-based systems must overcome a range of challenges, including poor visibility, intricate traffic patterns, and unpredictable human behavior. To address these issues, Tesla employs advanced simulation environments, such as Unreal Engine, to train its AI on edge cases. Additionally, real-world data collected from Tesla vehicles plays a crucial role in improving the system's decision-making capabilities. By continuously learning and adapting, Tesla's AI aims to deliver a safer and more reliable autonomous driving experience. Economic Opportunities with Robotaxi Fleets Tesla's Robotaxi program introduces a new economic model for vehicle ownership. By allowing Tesla owners to add their vehicles to a shared autonomous fleet, the program offers the potential to offset ownership costs while making transportation more accessible. This concept represents a shift in how vehicles are used, transforming them from personal assets into revenue-generating tools. Beyond cars, Tesla envisions a future where humanoid robots perform tasks such as package delivery, further integrating robotics into daily life. This expansion of AI-driven solutions could create new economic opportunities while addressing labor shortages in certain industries. Additionally, insurance incentives for autonomous vehicles could accelerate their adoption, making AI-powered transportation a more attractive option for consumers. Ethical and Technical Challenges As AI systems become increasingly advanced, they bring both opportunities and challenges. One area of concern is recursive self-improvement, where AI systems iteratively enhance their own capabilities. While this process could lead to rapid technological advancements, it also raises ethical and safety concerns. For example, evolutionary algorithms used to optimize AI behavior could result in unintended consequences if not carefully monitored. Making sure robust oversight and the establishment of ethical guidelines is essential as AI systems gain more autonomy. These measures are critical to preventing misuse and making sure that AI technologies are developed and deployed responsibly. As Tesla and other companies push the boundaries of what AI can achieve, addressing these challenges will be vital to building public trust and making sure the long-term success of autonomous systems. Looking Ahead Tesla's Robotaxi initiative represents a bold step forward in the integration of AI and robotics into everyday life. By using vision-based systems, neural networks, and advanced simulation training, Tesla is pushing the boundaries of what autonomous vehicles can achieve. However, significant challenges remain, including improving safety, addressing ethical concerns, and navigating the societal implications of AI-driven innovation. The potential applications of AI extend far beyond transportation. In fields such as healthcare, logistics, and scientific research, AI is already driving breakthroughs that were once thought impossible. As these technologies continue to evolve, they will play an increasingly central role in shaping the future. The journey ahead is filled with promise, but it also demands careful consideration of the ethical, technical, and societal challenges that accompany such fantastic advancements. Media Credit: Wes Roth Filed Under: AI, Technology News, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
a day ago
- Automotive
- Yahoo
Is Tesla Stock a Millionaire Maker?
In the past 15 years, this top EV stock has climbed more than 20,000%. Tesla shares have always sold for a premium, which is detached from the reality of the current business. Investors considering buying the stock must believe the company will make good on its plans for autonomous driving and robotics. These 10 stocks could mint the next wave of millionaires › Looking back at its history as a public company, Tesla (NASDAQ: TSLA) has generated serious wealth for investors. The auto industry disruptor has seen its shares skyrocket 20,290% since its initial public offering in June 2010 (as of June 25). Had you invested just $5,000 back then, there would be a $1 million balance in your portfolio right now. No one would argue with that kind of impressive past gain. But will the leading EV stock be a millionaire maker in the future? Tesla might be the most closely watched business in the world, partly, because of how it disrupted the global car market. Investors also keep tabs on what CEO Elon Musk is doing, as well as his plans for the company (more on this below). However, investors shouldn't lose sight of what Tesla really is today, which is a challenged company that sells innovative and tech-enhanced EVs. In the first quarter, the business reported $14 billion of automotive revenue, 72% of the total. Total revenue was up just 0.9% in 2024, then it declined 9.2% in Q1 2025. Operating income in the first quarter tanked 66%, thanks to lower average selling prices, fewer deliveries, and higher expenses. To be fair, this is an extremely inventive company that's working at the cutting edge of exciting technologies. But someone viewing Tesla with a clear lens would see that this is a struggling business. Its core operations are under pressure, without a doubt. What valuation should Tesla trade at knowing the reality of the business today? Even with a more reasonable price-to-earnings ratio (P/E) of 50 (compared to its current P/E ratio of 179), which is what luxury automaker Ferrari trades for, the stock has 72% downside. That certainly doesn't give investors any reason to be bullish. Based on the current market cap of $1 trillion and P/E ratio of 179, Tesla is wildly overvalued. But the story stock has seemingly always traded at a steep valuation, as investors continue to bet on a future that sees the company realizing its potential as a dominant force in autonomous driving and robotics. The company has finally launched a robotaxi service in Austin, Texas. This was highly anticipated and something that Musk has talked about for years. However, I think it turned out to be a big nothing burger. There were no Cybercabs. Less than two dozen Model Ys were used instead. There were human supervisors in all the vehicles. And videos of the robotaxis in action showed numerous issues, spurring an investigation by the National Highway Traffic Safety Administration. At the same time, Alphabet's Waymo is handling 250,000 trips per week in multiple cities. And an application is in place to start testing the service in New York City. Tesla appears to still have a long way to go. The company is also leveraging its AI capabilities to work on Optimus, a humanoid robot. Musk believes it will produce 1 million units annually by the end of this decade. Besides placing these machines in its factories, the goal is to sell them to other companies. If all goes according to plan, which is a very uncertain outcome, then Tesla could make its investors into millionaires down the road. The end markets for robotaxis and humanoid robots are estimated to be measured in the trillions of dollars. The company's ability to not only have these technologies achieve mass adoption, but to also capture a sizable chunk of the opportunity, could create a financial windfall. However, I think there's also a good chance that the business won't deliver up to its heightened expectations, a perspective that's supported by a history of constant delays. This is a stock that I'm still avoiding. Ever feel like you missed the boat in buying the most successful stocks? Then you'll want to hear this. On rare occasions, our expert team of analysts issues a 'Double Down' stock recommendation for companies that they think are about to pop. If you're worried you've already missed your chance to invest, now is the best time to buy before it's too late. And the numbers speak for themselves: Nvidia: if you invested $1,000 when we doubled down in 2009, you'd have $409,114!* Apple: if you invested $1,000 when we doubled down in 2008, you'd have $38,173!* Netflix: if you invested $1,000 when we doubled down in 2004, you'd have $713,547!* Right now, we're issuing 'Double Down' alerts for three incredible companies, available when you join , and there may not be another chance like this anytime soon.*Stock Advisor returns as of June 23, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Neil Patel has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Tesla. The Motley Fool has a disclosure policy. Is Tesla Stock a Millionaire Maker? was originally published by The Motley Fool
Yahoo
3 days ago
- Automotive
- Yahoo
Elon Musk Says First Tesla Drove Itself From Factory to Customer
(Bloomberg) — Tesla Inc. Chief Executive Officer Elon Musk said a Tesla Model Y SUV drove itself from the company's factory near Austin to a customer's home in the company's latest move to showcase its push into autonomous driving. Philadelphia Transit System Votes to Cut Service by 45%, Hike Fares US Renters Face Storm of Rising Costs Squeezed by Crowds, the Roads of Central Park Are Being Reimagined Mapping the Architectural History of New York's Chinatown Sprawl Is Still Not the Answer In a post on X, Musk announced the company had made an autonomous delivery of a Tesla Model Y from factory to a customer's home, noting the delivery was made 'across town,' and included highways. Musk said the delivery did not include anyone in the car and no remote operators were in control of the car. While the post did not include video or images, Musk posted that video of the event would come soon. Tesla's head of AI and autopilot, Ashok Elluswamy said the vehicle reached a max speed of 72 miles per hour. The delivery was one day ahead of the date Musk had earlier set for the first autonomous delivery, June 28, which will be his 54th birthday. Tesla's first autonomous delivery highlights Musk's bet that artificial intelligence and robotics represent the future of his electric car company. It comes days after Tesla began its long-awaited robotaxi service on June 22, offering a select group of influencers and investors rides in a small fleet of self-driving Model Y SUVs in a limited area of Austin. Musk previewed both events in a post earlier this month on X, and has said the company plans to eventually have millions of robotaxis on the road in the future. Musk is counting on eventually churning out large numbers of robotaxis and Optimus humanoid robots to underpin the EV company's next chapter. Sales in key markets including North America and Europe remain sluggish and the company has faced a consumer backlash to Musk's role in US President Donald Trump's administration. Multiple executives have also left the company in recent weeks. The hands-free delivery is an extension of a capability Tesla touted in April, when it posted a video showing cars moving autonomously from its Texas assembly lines to logistics lots prior to shipping. It's unclear whether autonomous deliveries will become a meaningful part of Tesla's operations. Tesla did not immediately respond to a request for comment. America's Top Consumer-Sentiment Economist Is Worried How to Steal a House Inside Gap's Last-Ditch, Tariff-Addled Turnaround Push Luxury Counterfeiters Keep Outsmarting the Makers of $10,000 Handbags Apple Test-Drives Big-Screen Movie Strategy With F1 ©2025 Bloomberg L.P.
