20251210-深企投产业研究_深圳_-人工智能行业_人工智能+_行动深度解读与产业发展机遇_46页_18mb

Artificial Intelligence Action Plan Analysis Summary

Overview

This document provides a detailed interpretation of China's "AI+" Action Plan, covering its policy background, global competition, technological advancements, and industrial opportunities. The plan emphasizes strategic national development, aiming to foster AI innovation and address challenges in areas like technological dependency and talent shortages.

Key Elements:

• Policy Evolution: China's AI policies have undergone four upgrades since the 2015 "Thirteenth Five-Year Plan," forming a "three-step" strategy by 2035 to achieve comprehensive AI integration.
• Global Context: The US is aggressively pushing for global AI dominance through regulatory and trade measures, while countries like the EU focus on trustworthy AI. China leverages data, industry, and talent advantages but faces U.S.-led containment.
• Technological Progress: Significant breakthroughs include generative AI, large models, and merging AI with other fields like bio science, boosting efficiency across applications.
• Industrial Opportunities: AI is transforming sectors such as manufacturing, healthcare, and transportation, with new models like "smart original" exploiting untapped markets. Investment hotspots include computing infrastructure, innovative devices, and data ecosystems.

Detailed Summary

Policy Background and Strategic Significance

China's AI adoption began in 2015 with the "Ninth Five-Year Plan," evolving through multiple policy updates targeting technological independence by 2027, full industry empowerment by 2030, and complete intelligence deployment by 2035. The plan focuses on reorganizing industrial chains, fostering AI talent, securing open multi-modal data sharing, and utilizing AI governance systems. This supports a digital society and scientific advancements.

Global Competition and Trends

The U.S. leads in AI dominance through alliances and restrictive policies, such as export controls and investments in ecosystems. Europe and other nations are responding with regulatory frameworks and cooperative strategies. China counters by focusing on domestic strengths but is subject to ongoing technological and market restraints from the U.S., including chip restrictions and talent policies.

Technology and Development Breakthroughs

AI technology is marked by rapid progress in large language models and generative AI, which are reshaping application scenarios and enabling deeper industry integrations. Core advancements include efficient computing methods, multi-modal integration, and AI for science applications, accelerating economic growth and global GDP contributions by 2030.

Industrial and Application Opportunities

AI is reshaping diverse sectors. In manufacturing, it enables smarter workflows; in services, it drives innovative models like intelligent agents and robot-aided services. Opportunities in transportation, energy, and healthcare highlight how AI can create "smart original" business types, with substantial growth potential across various verticals.

Base Guarantees and Challenges

While China holds data and application advantages, it still needs improvements in core computing power and talent retention. Strategies include opening data markets, expanding open-source ecosystems, lowering barriers through financial incentives, and focusing on sustainable AI development to address global economic reliance on AI.

Conclusion

The AI+ Action Plan is crucial for China's competitiveness and contribution to global AI advancement. By implementing innovative policies and fostering collaborative environments, it poised to create significant economic and social value, with mature applications by 2027 embodying AI's practical transformation.