According to @ai_darpa on Twitter, the new Tesla Model Y Performance, priced at $57,490, surpasses the luxury Lamborghini Urus (over $315,000) in both 0-60 mph and quarter-mile speed tests. The Model Y achieves 0-60 mph in 3.42 seconds and completes the quarter mile in 11.45 seconds, while the Urus clocks 3.53 seconds and 11.58 seconds, respectively (source: @ai_darpa, Dec 26, 2025). This performance showcases the growing impact of AI-powered vehicle optimization, as Tesla leverages advanced machine learning algorithms for real-time power management and efficiency. For the AI industry, this highlights significant business opportunities in automotive AI applications, including predictive maintenance, autonomous driving, and intelligent data analytics—key factors driving the future of smart mobility and competitive edge in the electric vehicle market.

According to Sawyer Merritt (@SawyerMerritt), recent data from cars.usnews.com indicates that a significant portion of plug-in hybrid vehicle (PHEV) owners are not regularly charging their vehicles, which limits the benefits of electrification (Source: cars.usnews.com/cars-trucks/features/phev-owners-not-plugging-in). This trend highlights a growing need for AI-driven solutions that can analyze user charging behavior, predict optimal charging times, and incentivize regular plug-in habits. For businesses in the AI and EV sectors, there is a clear opportunity to develop smart charging platforms that use machine learning to personalize notifications, optimize grid usage, and reduce emissions. Integrating AI-powered analytics into EV infrastructure can also support automakers and energy companies in improving customer engagement and sustainability outcomes.

According to @SawyerMerritt, Tesla has introduced the 'Charging Passport,' an AI-driven annual summary feature in the Tesla app that provides users with detailed analytics on their charging habits, including charging badges, unique Superchargers visited, total charging sessions, miles added, top charging days, and longest trips (source: @SawyerMerritt via Twitter). This feature leverages machine learning to generate personalized charging data, encouraging user engagement and offering new business opportunities for AI-powered mobility analytics. The Charging Passport also paves the way for future integrations with smart energy management and personalized EV recommendations, highlighting a growing trend of AI integration in consumer automotive experiences.

According to Sawyer Merritt on Twitter, Tesla reported its Q3 2025 earnings, achieving a record quarterly revenue of $28.1 billion, surpassing analyst expectations of $26.4 billion (source: Sawyer Merritt, Twitter, Oct 22, 2025). This significant growth is attributed to increasing adoption of Tesla's AI-powered autonomous driving systems and expansion of their AI-driven energy solutions. The integration of advanced machine learning and neural network technologies into Tesla’s product lines is enhancing operational efficiency and unlocking new business opportunities in both mobility and renewable energy sectors, positioning Tesla as a leader in the AI industry.