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彭绪庶:“人工智能+”的战略意义与推进路径
Jing Ji Ri Bao·2025-09-23 00:04

Core Insights - The current world is undergoing a new technological revolution and industrial transformation, with artificial intelligence (AI) as the core driving force of the intelligent economy, becoming a new engine for economic development [1] - The competition in the field of AI has become a new focus of international technological and economic competition, with "AI+" shaping new competitive advantages for nations [1][2] Summary by Sections Strategic Significance - The pursuit of "intelligence" has historical roots, evolving from ancient mechanical devices to modern AI, which is now recognized as a revolutionary technology that transforms production relations and social economic forms [3][6] - AI is a new generation of general-purpose technology that can empower various industries, driving economic growth and enabling a wide range of applications across different sectors [5][6] Current Developments - China's digital economy exceeded 50 trillion yuan in 2022, accounting for 41.5% of GDP, providing a solid foundation for AI development [9] - The AI industry in China is projected to surpass 700 billion yuan in 2024, maintaining a growth rate of over 20% [9] Challenges - There are significant barriers to the transfer and commercialization of AI technology, with a need for improved channels for innovation to market [10][11] - The innovation ecosystem and industrial ecology are not yet fully developed, with a reliance on imported key hardware and software [11] - Data circulation barriers and a talent shortage are prominent issues, with a lack of high-quality data and skilled personnel in the AI sector [12] Path Forward - A comprehensive approach is needed to implement the "AI+" initiative, focusing on building a self-controlled AI technology system and enhancing collaboration among various stakeholders [13][14] - Promoting the intelligent transformation of industries and deep integration of AI with the real economy is essential for fostering new economic paradigms [15] - Establishing an efficient data circulation system and improving the accessibility of intelligent infrastructure are critical for supporting AI development [16] - A multi-level talent cultivation system should be developed to enhance digital literacy and skills across society [16] Governance - It is crucial to establish a global governance framework for AI that emphasizes safety, equality, and responsible development, addressing the risks and challenges posed by AI technologies [17]