2027目标倒计时：人工智能如何重塑中国制造业竞争力

Core Objectives and Quantifiable Indicators (2027) - The implementation opinion establishes a "five-in-one" development goal focusing on technology, application, product, entity, and ecosystem, with clear and quantifiable core indicators to form a closed-loop traction system [2][4] - By 2027, the plan aims to cultivate 2-3 globally influential leading enterprises and identify 1,000 benchmark companies, while nurturing specialized "little giant" enterprises and manufacturing champions [4] Key Tasks and Implementation Pathways - The implementation opinion outlines nine key tasks, focusing on four dimensions: - Strengthening computing power supply capabilities and developing high-level industry models [6][7] - Expanding high-value application scenarios across industries and processes [9][10] - Upgrading intelligent equipment and fostering new business models [11] - Enhancing ecosystem support through market entity cultivation, safety governance, and international cooperation [12][13] Policy Highlights and Innovative Breakthroughs - The "1+2" policy system provides comprehensive coverage, addressing the core issues of policy implementation, industry transformation, and enterprise application [14] - Quantifiable indicators enhance policy operability, providing clear guidance for local assessments and enterprise implementation [14] - The dual-driven approach of scenarios and demand aims to match supply and demand accurately, addressing the challenge of "heavy technology, light application" [14] Realistic Challenges - Data governance and integration difficulties arise from the fragmentation of manufacturing data across various systems and devices [15] - A significant talent gap exists, particularly for professionals who understand both artificial intelligence technology and manufacturing processes [15] - High transformation costs and long cycles pose challenges for small and medium-sized enterprises [16] - Model adaptation and security risks coexist, complicating the deployment of AI models in industrial settings [16]