人工智能掀起城市大洗牌，轮胎大厂领跑，烟台入局

Core Viewpoint - Shandong province is accelerating the development of the artificial intelligence (AI) industry, with Yantai aiming to become a benchmark city for autonomous driving by launching three pilot projects in this field [1]. Group 1: AI Industry Development in Yantai - Yantai is leveraging its strengths in industries like green petrochemicals, nuclear power, and auto parts to break into the AI sector, specifically focusing on autonomous driving [1]. - The city plans to establish a "1+5+N" autonomous driving system, creating a model area along the coast with 200 kilometers of smart connected roads and over 2,000 autonomous vehicles by 2027 [13]. - The automotive industry chain is a key focus for Yantai, with significant investments from companies like SAIC-GM and Weichai Power, aiming to build a trillion-yuan industry chain [13]. Group 2: Role of Linglong Tire - Linglong Tire is a crucial player in Yantai's AI landscape, having invested 1.31 billion yuan to build the first large-scale tire testing facility in China, which has significantly shortened R&D cycles [4][6]. - The company has established partnerships with major automotive manufacturers, enhancing its global supply capabilities and aligning its R&D with the pace of China's new energy vehicle industry [6]. - Linglong Tire is developing a vehicle-road-cloud integrated testing base, which will support various testing scenarios for smart connected vehicles, enhancing its testing capabilities in the AI automotive sector [9][10]. Group 3: Competitive Landscape in AI - According to a report by CCID Research Institute, leading regions in AI competitiveness include Beijing, Guangdong, Shanghai, Zhejiang, Anhui, and Jiangsu, indicating a competitive environment for Yantai to navigate [12]. - Shanghai has established a comprehensive ecosystem for autonomous driving, with significant infrastructure and a collaborative environment for various stakeholders in the automotive industry [11][12]. - The shift towards smart connected vehicles represents a new opportunity for companies in the automotive sector, as the industry moves away from traditional vertical integration towards a more collaborative model [12].