中央重磅部署“人工智能+”，长城基金刘疆最新解读！

Core Insights - The State Council has issued a significant policy document titled "Opinions on Deepening the Implementation of 'AI+' Actions," aiming for extensive integration of AI with six key sectors by 2027, with a target application penetration rate of over 70% for new intelligent terminals and agents [1] - The document serves as a guiding framework for the AI industry, providing clear developmental goals for 2027, 2030, and 2035, and defining six key areas for AI integration, which will enhance clarity and direction for industry and investment [1] Investment Opportunities - The core investment logic revolves around infrastructure development, including computing power, model capability, and data supply innovation, which will drive investment opportunities across various sectors [2] - The six key actions of "AI+" encompass science and technology, industrial development, quality enhancement in consumption, welfare improvement, governance capability, and global cooperation, indicating a broad spectrum of investment potential [2] Beneficial Segments - Computing power is identified as a crucial infrastructure benefiting significantly from the AI industry's growth, with demand expected to surge due to stronger models and broader application scenarios [3] - The domestic model capabilities are anticipated to improve significantly, with advancements in models like DeepSeek and ongoing innovations in various large models, providing a solid foundation for the AI industry [3] - Data is emphasized as a vital cornerstone for AI development, with the government prioritizing the growth of the big data industry [3] Key Focus Areas - The integration of AI with "science and technology" is highlighted as a fundamental driving force, while industrial development is expected to create substantial investment opportunities through new business models and the upgrading of traditional sectors [4] - Quality enhancement in consumption is also crucial, with AI creating new scenarios and merging with traditional products to generate new demands, such as smart vehicles and AI-integrated consumer electronics [4] Current Developments - Continuous evolution of large models and increasing user engagement are driving a significant rise in inference computing power demand [5] - Innovations in AI applications and terminals are emerging, with agents being recognized as a new ecosystem in the AI era [5] Valuation and Strategy - The valuation of the AI sector has risen as investment value is recognized, yet it remains within a reasonable range, with potential for further increases as industry conditions improve [6] - The company views AI as a key innovation theme and long-term growth direction, focusing on infrastructure investments in computing power and related sectors [6] Industry Factors - Key factors to monitor include advancements in large models, investments from government and leading tech firms in AI and computing power, and innovations in downstream applications [7]