锚定5000亿元目标 浙江人工智能终端产业按下“加速键”

Core Viewpoint - Zhejiang Province is intensifying its focus on the artificial intelligence (AI) industry, aiming for significant growth in the AI terminal sector by 2027, with specific revenue and technological targets outlined in the "Action Plan" [2][3]. Group 1: Action Plan Goals - By 2027, Zhejiang aims for the AI terminal industry to achieve over 500 billion yuan in revenue, develop 50 key technologies, and cultivate 10 leading enterprises with revenues exceeding 10 billion yuan [2][3]. - The plan includes a target for over 70% penetration of AI terminals in large-scale industrial applications [2]. Group 2: Implementation Strategies - The plan will be implemented through a multi-departmental approach, enhancing statistical monitoring, integrating policy tools, and fostering an innovative ecosystem [2][3]. - Specific measures include establishing AI computing centers, launching supportive policies for AI innovation, and creating a billion-yuan AI industry fund to stimulate capital investment [3]. Group 3: Industry Development - The action plan is recognized as the first provincial-level initiative in China to cover the entire AI terminal industry chain, linking infrastructure, technology development, pilot projects, and industrialization [3]. - The focus on AI terminals is expected to drive growth in related sectors such as chips, sensors, and robotics, with potential breakthroughs in core technologies leading to the emergence of specialized enterprises [3][4]. Group 4: Sector Focus Areas - In the consumer terminal sector, Zhejiang will prioritize AI computers, smartphones, smart wearables, and smart home devices, transitioning traditional smartphones to AI-enabled devices [5]. - The industry terminal sector will focus on smart vision, industrial automation, robotics, connected vehicles, drones, and medical devices, enhancing application capabilities [5]. Group 5: Key Tasks for Implementation - The action plan outlines three main tasks: 1. Innovating core technologies like smart chips and sensors to accelerate application of innovations [5]. 2. Enhancing industry capabilities through enterprise cultivation, brand development, and product upgrades [5]. 3. Optimizing the industrial ecosystem by building high-level platforms and fostering open collaboration [5].