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AI超级赛道,利好!上海,最新发布!
证券时报·2025-08-19 08:32

Core Viewpoint - The article discusses the implementation plan for accelerating the integration of AI and manufacturing in Shanghai, aiming to enhance the intelligence level of the manufacturing industry over the next three years, with specific targets for innovation and application [1]. Group 1: Implementation Plan - The plan aims to promote the deep integration of AI technology with manufacturing, targeting 3,000 manufacturing enterprises for intelligent applications and establishing 10 industry benchmark models [1]. - It seeks to create 100 benchmark intelligent products and promote 100 demonstration application scenarios, along with the construction of around 10 "AI+Manufacturing" demonstration factories [1]. - The plan emphasizes the development of a competitive ecosystem for intelligent manufacturing, including the cultivation of integrated service providers and specialized service providers [1]. Group 2: Financial Support and Innovation - The plan proposes exploring the use of production data from enterprises connected to industrial internet platforms as collateral for bank loans [1]. - It supports enterprises in using intellectual property and patent technology for pledge financing and aims to leverage policy financing guarantee funds to provide financing support for eligible enterprises [1]. - The plan encourages investment from municipal and district industrial funds and social capital to support AI+Manufacturing development, focusing on projects related to data construction, model development, and application scenarios [1]. Group 3: Industry-Specific Applications - The plan outlines specific applications of AI in various industries, including: - Integrated Circuits: Enhancing design capabilities and production efficiency through AI in chip manufacturing [4]. - Automotive: Developing intelligent research and development systems for data-driven smart vehicle development [4]. - Aerospace: Implementing intelligent manufacturing in large aircraft assembly and satellite production [4]. - Pharmaceuticals: Creating intelligent drug development platforms to improve production quality and traceability [4]. - The focus is on building specialized small models for specific scenarios and enhancing the collaborative efficiency of large and small models in industrial applications [3][4]. Group 4: AI+Manufacturing Factories - The plan includes the establishment of "AI+Manufacturing" demonstration factories characterized by high-density distribution of intelligent agents and multi-scenario integration [6]. - It promotes the deployment of industrial robots in repetitive, hazardous, and health-risk work scenarios to improve production efficiency and safety [6]. - The initiative also encourages the development of intelligent consumer terminals in collaboration with AI companies to enhance model application capabilities [6].