“人工智能+”加速跑 明确六大重点领域三大阶段性目标

Core Insights - The "Artificial Intelligence +" strategy has been clearly defined and aims to accelerate revolutionary changes in productivity and deep transformations in production relations, reshaping production and lifestyle paradigms [2][3] - The policy outlines a three-phase timeline for AI development in China, with specific goals set for 2027, 2030, and 2035, emphasizing the integration of AI across various sectors [3][4] Phase Development - By 2027, the goal is to achieve deep integration of AI with six key areas: scientific technology, industrial development, consumption quality, public welfare, governance capabilities, and global cooperation, with over 70% penetration of new intelligent terminals and applications [3][4] - By 2030, AI is expected to fully empower high-quality development, with over 90% penetration of intelligent applications, making the AI economy a significant growth driver for China [4] - By 2035, China aims to enter a new stage of intelligent economy and society, providing strong support for the realization of socialist modernization [4] Policy Implementation - The policy emphasizes a problem-oriented approach, addressing issues such as the imbalance between hard and soft applications of AI, fragmented applications, and low activity in open-source communities [5] - Local governments have been actively implementing policies related to "Artificial Intelligence +" across various sectors, indicating a pragmatic approach to policy application [5] Industry Opportunities - The release of the policy is seen as a strategic opportunity for AI technology companies, with significant potential for cost reduction and efficiency improvement through the adoption of new AI technologies [6] - The policy is expected to benefit sectors with high digital penetration, such as finance, healthcare, and transportation, enhancing efficiency in key applications like risk control and diagnostic assistance [9] Market Potential - China's vast and diverse market, along with its rich application scenarios and robust manufacturing system, provides a fertile ground for AI innovation and development [8] - The focus on "intelligent native" systems, which integrate AI as a core driver from the outset, is expected to lead to deep transformations in various industries [10]