ZHONGTAI SECURITIES·2025-04-06 12:38Investment Rating - The report maintains a rating of "Overweight" for the industry [4]. Core Insights - The AI Agent has reached a critical point of explosive growth, with all necessary components now integrated, leading to enhanced user experience and accelerated penetration into various sectors [5][10]. Summary by Sections Industry Overview - The industry comprises 131 listed companies with a total market value of 15,067.40 billion and a circulating market value of 13,714.81 billion [2]. Key Companies and Financials - Notable companies include: - Southern Media: Stock price 16.43, EPS 1.06 for 2022, projected EPS of 1.15 for 2026, rating "Buy" [4]. - Kaiying Network: Stock price 16.45, EPS 0.49 for 2022, projected EPS of 1.00 for 2026, rating "Buy" [4]. - Century Tianhong: Stock price 10.76, EPS 0.17 for 2022, projected EPS of 0.21 for 2026, rating "Overweight" [4]. Technological Evolution - The development of AI Agents is likened to building blocks, where previously isolated technologies are now integrated, enabling AI Agents to operate autonomously [5][10]. - Key advancements include: - Enhanced coding capabilities of large models, allowing for industry-level applications [5]. - The introduction of standardized tool invocation protocols like MCP, which simplifies the integration of various tools and data sources [31][32]. Market Dynamics - The report anticipates a surge in the availability of tools and software interfaces for large models, driven by the decreasing costs of token usage [5][20]. - The MCP platform has launched over 3,500 servers across multiple fields, indicating a robust ecosystem for AI Agents [5]. Computational Demand - A global AI Agent application with 1 billion daily active users is estimated to require approximately 141,500 NVIDIA H100 SXM GPUs for daily operations [66]. - The report provides a detailed sensitivity analysis on token consumption and computational needs based on user interaction patterns [54][60]. Investment Recommendations - The report suggests focusing on companies across various segments of the AI ecosystem, including hardware (NVIDIA, AMD), model development (Alphabet, Microsoft), and applications (Tesla, Salesforce) [9].