盘中大涨！奇瑞，AI大动作

Core Viewpoint - Chery Automobile is fully embracing AI, with Chairman Yin Tongyue stating that AI is as transformative as the steam engine and electricity, and aims to rapidly catch up with Tesla's Full Self-Driving (FSD) capabilities [6][7]. Group 1: AI Strategy and Goals - Chery aims to become one of the most committed and in-depth technology companies in China embracing AI, with a focus on three strategic directions: empowering products, intelligence, and industry to achieve product equality, emotional equality, and industrial equality [6][7]. - The company is benchmarking against Tesla, sending teams to the U.S. to experience Tesla's FSD and Grok model combinations to identify gaps and accelerate catch-up efforts [6][7]. Group 2: AI Empowerment in Products - Chery is focusing on its core business of smart vehicles, enhancing smart cockpits, intelligent driving, powertrains, and chassis through AI [8]. - The company plans to implement L2++ level driver assistance across its entire lineup domestically and aims for mass production of L3/L4 level autonomous vehicles and Robotaxi [9]. Group 3: International Development and Innovation - Internationally, Chery will develop VPD (Valet Parking Driver) technology to ensure all users can equally enjoy the safety, security, and convenience brought by AI [10]. - The company has established an open innovation system focusing on nine forward-looking areas, including 2C technologies (batteries, chips), 2R technologies (humanoid robots, Robotaxi), and 3G technologies (green energy, materials, computing) [10]. Group 4: Challenges in AI Integration - Chery acknowledges three major challenges in the integration of AI and the automotive industry: safety challenges due to the complexity of training data and the risks of AI decision-making [12]. - Legal and ethical challenges arise from data privacy, algorithm fairness, and defining responsibilities in accidents, necessitating a governance framework aligned with human values [13]. - Quality management challenges are highlighted, as the introduction of extensive software may lead to numerous bugs, requiring a new quality management logic suitable for AI development [14].