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(经济观察)中国“人工智能+”行动明确产业智能化跃迁路线图
Zhong Guo Xin Wen Wang·2025-08-27 13:18

Core Viewpoint - The Chinese government has issued a comprehensive plan for the "Artificial Intelligence +" initiative, aiming to drive the intelligent transformation of key industries and enhance economic growth through AI integration [1][2]. Group 1: AI Industry Development - The AI industry is undergoing a critical phase of global restructuring, with a shift from isolated breakthroughs to systematic innovation and from consumer applications to various sectors like technology, transportation, and healthcare [1]. - The "Artificial Intelligence +" initiative is expected to lead to significant opportunities, surpassing those presented by the internet, as domestic AI models gain international competitiveness and an open-source ecosystem emerges [1][2]. - The initiative outlines a three-stage goal: by 2027, AI will be widely integrated into key sectors; by 2030, it will form important growth poles; and by 2035, it will fully transition into an intelligent economy and society [2][3]. Group 2: Implementation Strategies - The initiative emphasizes a sector-specific approach, focusing on six areas: scientific technology, industrial development, quality improvement in consumption, public welfare, governance capabilities, and global cooperation [2]. - Key performance indicators, such as the penetration rate of AI applications, have been established to provide a clear roadmap for the "Artificial Intelligence +" efforts [2]. - The core objective is to achieve deep integration of AI with the real economy across all elements, chains, and scenarios, transforming traditional industries and fostering new "AI-native" business models [3]. Group 3: Future Outlook - The "AI-native" concept refers to businesses built entirely on AI infrastructure and logic, which are expected to dominate the future economy [3]. - The "Artificial Intelligence +" initiative is seen as a strategic guide for accelerating AI application across various sectors, promoting quality, efficiency, and dynamic transformations in industries such as manufacturing, services, finance, and transportation [3].