Workflow
2025年两会专题系列报告之三:人工智能篇:行业研究全链赋能融合加速
Guoyuan Securities·2025-03-20 09:03

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The report emphasizes the integration of digital technology with traditional industries, focusing on the application of large models in various sectors, particularly in smart connected vehicles and intelligent manufacturing equipment [10][13] - It highlights the importance of safety as a prerequisite for new technologies, advocating for a self-controllable AI ecosystem [14][16] - The report outlines the trends of AI model capability enhancement, the deployment of 5G-A and 6G as foundational technologies for large-scale AI applications, and the fusion of AI with traditional industries to drive efficiency and cost reduction [25][31][37] Summary by Sections Government Work Report - The 2025 government work report emphasizes the need to boost domestic demand, integrate digital technology with traditional industries, and promote the empowerment of large models [10] - It outlines key tasks such as fostering emerging industries, enhancing traditional industry upgrades, and stimulating digital economy innovation [12][18] Industry Trends - Trend 1: The enhancement of model capabilities is shifting the industry focus towards applications and edge computing [25][30] - Trend 2: The commercialization of 5G-A and 6G will provide the necessary communication infrastructure for large-scale AI applications [31][34] - Trend 3: The integration of AI with traditional industries is expected to lead to significant cost savings and efficiency improvements [37][47] - Trend 4: The improvement of domestic model capabilities and data security will promote the prosperity of edge hardware [60][63] AI Applications - The report discusses specific applications of AI in sectors such as healthcare, agriculture, and manufacturing, showcasing successful case studies that demonstrate efficiency gains and cost reductions [40][41][51][56] - It highlights the role of AI in enhancing product quality and accelerating innovation in manufacturing, with projections indicating substantial growth in the sector due to AI adoption [54][58]