打造世界级AI生态与万亿级产业集群，深圳靠什么？

Core Insights - The construction of a trillion-level AI terminal ecosystem has become a new competitive arena for urban industries as AI technology transitions from laboratories to deep industrial applications [1] - The 2025 Honor Global Developer Conference and AI Terminal Ecosystem Conference in Shenzhen marks a key milestone in accelerating the development of the AI terminal ecosystem [1] Group 1: AI Ecosystem Development - The Guangdong Provincial Action Plan for High-Quality Development of Manufacturing Empowered by Artificial Intelligence (2025-2027) emphasizes strengthening the supply of industrial AI as a core task [3] - Honor has launched the AI "1×3×N" ecosystem strategy, focusing on building an open, intelligent, and scalable terminal ecosystem [3][5] - The upgraded "HONOR AI Connect" platform aims to provide efficient and economical AI solutions for partners, integrating AI with industrial internet [3][5] Group 2: Industrial Chain and Ecosystem - The AI ecosystem in Pingshan, centered around Honor, has formed a complete chain from AI research and design to terminal manufacturing [5] - Pingshan accounts for over 60% of Shenzhen's chip manufacturing output, providing a full-cycle guarantee for AI innovation [5][6] - The region is actively promoting the integration of talent, policy, and capital to drive industrial development through a dual-engine model of "leading enterprises + policy support" [5][6] Group 3: Advanced Manufacturing and Application Scenarios - Pingshan is recognized for its advanced manufacturing base and diverse application scenarios, making it a strong magnet for high-end industrial events and innovative resources [8] - The area has established itself as a hub for various national-level industrial bases, supporting the development of a trillion-level AI terminal industry cluster [8][10] - Pingshan is accelerating the integration of AI into its three main industries, with a focus on smart connected vehicles, high-end medical devices, and intelligent manufacturing [10][12] Group 4: Future Prospects - The competition in AI is shifting from individual capabilities to ecosystem collaboration, with expectations for innovative practices across various industries [12]