新一代智能终端蓝皮书：从“人工智能+终端”到人工智能终端

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The new generation of intelligent terminals is transitioning from "AI + terminal" to "AI terminal," marking a significant evolution in technology and user interaction [7][16] - AI terminals exhibit four distinct characteristics: cognitive collaboration, scenario anticipation, intention-driven services, and service symbiosis, which signify a shift from passive tools to active partners in user interaction [8][17] - The industry is experiencing explosive growth, with AI mobile phones, AI PCs, and AI wearables becoming mainstream products, supported by advancements in hardware and software integration [20][28] Summary by Sections 1. Policy and Technology Drivers - The development of AI terminals has become a global consensus, with major economies implementing strategic plans to enhance AI capabilities in various sectors [24][26] - China's national AI strategy emphasizes the importance of AI terminals in fostering high-quality development and creating a modern industrial system [26][27] 2. "Four New" Characteristics - AI terminals are evolving to provide proactive services through enhanced cognitive understanding and multi-modal interactions [17][18] - The integration of hardware and software technologies is crucial for realizing the "four new" capabilities of AI terminals [9][18] 3. Hardware Evolution - The industry standard for AI terminals now includes a heterogeneous computing architecture of CPU, GPU, and NPU, which enhances AI processing capabilities [9][18] - Storage technologies have made significant advancements, alleviating previous performance bottlenecks [9][18] 4. Software System Reconstruction - AI operating systems are undergoing a transformation to create a collaborative intelligent hub that integrates local and cloud capabilities [18][19] - The concept of intelligent agents is emerging, allowing AI terminals to autonomously execute complex tasks based on user intent [19][20] 5. Market Penetration and Product Experience - AI mobile phones and PCs are becoming the primary platforms for AI applications, with significant market penetration expected by 2025 [28][29] - The intelligent service capabilities of AI mobile phones have reached an assistant level, integrating deeply with various user scenarios [33][37] 6. Standardization and Evaluation - A comprehensive evaluation framework for AI terminals is being developed to address inconsistencies in intelligent levels and user understanding [29][30] - Various industry associations are collaborating to establish standards that will guide the development and deployment of AI terminals [31][32] 7. Future Outlook - The AI terminal industry is poised for rapid growth, with predictions indicating substantial increases in market penetration and product diversity by 2025 [28][29] - The ecosystem surrounding AI terminals is maturing, with collaboration among chip manufacturers, terminal producers, and software developers becoming increasingly important [20][28]