According to Stock Talk (@stocktalkweekly), Tesla is set to launch its Robotaxi service in Austin on June 12 and has already completed its first public road tests of a driverless Model Y without a safety driver. This breakthrough in autonomous vehicle technology is expected to accelerate discussions around crypto payments integration in mobility platforms, with increased speculation about blockchain-based ride-hailing and digital asset adoption within the transportation sector. The move signals potential new use cases for cryptocurrencies like Dogecoin and Bitcoin in real-world applications, presenting trading opportunities for investors monitoring the intersection of EV, AI, and crypto markets. Source: Stock Talk Twitter, May 28, 2025.

According to Evan (@StockMKTNewz) on Twitter, Tesla CEO Elon Musk announced that the company is negotiating with major automakers to license its Full Self Driving technology, as reported by CNBC. This development signals potential new revenue streams for Tesla and may accelerate the adoption of autonomous driving. For traders, the growing integration of AI technologies in automotive sectors could boost AI-related tokens and blockchain projects that focus on mobility and smart contracts, as increasing demand for secure data sharing and automation rises. The announcement highlights the convergence of AI, automotive innovation, and blockchain, which is likely to influence investor sentiment in both crypto and tech stocks. (Source: Evan @StockMKTNewz via CNBC, May 20, 2025)

According to @StockMKTNewz on Twitter, Tesla CEO Elon Musk announced that the company will begin deploying approximately 10 fully unsupervised self-driving cars in Austin, Texas during the first week at the end of next month, with plans to scale up operations soon after (Source: @StockMKTNewz, May 20, 2025). This concrete step signals rapid advancement in autonomous vehicle technology and could drive significant volatility in TSLA stock. The news is also relevant to cryptocurrency traders, as increased AI adoption in automotive sectors has historically led to bullish momentum in related AI and blockchain tokens, especially those focusing on mobility and data security.

According to Stock Talk (@stocktalkweekly), Morgan Stanley has reiterated its 'Overweight' rating on Tesla (TSLA) with a new price target of $410, citing analyst Adam Jonas. Jonas highlights Tesla's strategic pivot from traditional automobiles toward full autonomy and advanced AI integration, noting the company's commitment to 'stunning design at an affordable price.' For crypto traders, this update is significant as Tesla's increased emphasis on AI and autonomy may drive further demand for blockchain-based data solutions and decentralized AI networks, potentially impacting related crypto assets. Source: Stock Talk (@stocktalkweekly), May 20, 2025.

According to @CantorFitz, Tesla (TSLA) was reiterated at 'Overweight' with a $425 price target by analyst Andres Sheppard, citing strong optimism from the upcoming June Robotaxi launch and Elon Musk's decision to step away from direct involvement with Dogecoin (DOGE). These developments are seen to potentially drive increased institutional interest in TSLA shares and signal a strategic focus on autonomous vehicle technology, which could have significant ripple effects on both the traditional auto sector and crypto markets, particularly in AI and blockchain integrations (Source: Cantor Fitzgerald, Twitter).

According to Berkeley AI Research (@berkeley_ai), their latest blog post discusses the deployment of reinforcement learning in a fleet of 100 autonomous vehicles (AVs) to improve highway traffic flow. This research could inform trading strategies by highlighting advancements in AI technology that may impact automotive and AI-related stocks. The deployment aims to reduce congestion and enhance traffic efficiency, which could influence the market by increasing demand for AI solutions in transportation.

According to Jeff Dean, Waymo is launching public autonomous vehicle services in the Peninsula, specifically in Palo Alto, Mountain View, and Los Altos. This expansion marks a significant step in the adoption of autonomous driving technology in urban areas, potentially influencing related tech and automotive stocks.