TENCENT(HK:00700) Mei Ri Jing Ji Xin Wen·2025-09-17 14:37Core Insights - The focus of the industry is on how companies can implement cutting-edge AI technologies into practical business scenarios for sustainable growth as the AI model technology hype returns to rationality [2] - Tencent's Senior Executive Vice President emphasized that "driving industrial efficiency through intelligence and revenue scale through globalization" are the two core drivers of corporate growth [2] Group 1: AI Infrastructure and Investment - Tencent is significantly investing in AI infrastructure, with a strong emphasis on providing comprehensive support from infrastructure to model training and inference acceleration tools [4] - The shift in the big model industry focus from training to inference has become an industry consensus, leading to a surge in inference demand [4] - Tencent has established 11 regional offices globally and deployed 9 global technical support centers, enhancing its international infrastructure investment [5] Group 2: AI Strategy and Development - Tencent aims to create "human-centered AI," with a clear positioning that embraces AI across all business sectors [5] - The company has released over 30 models in the past year, focusing on achieving stronger model performance at lower deployment and inference costs [6] - Tencent's intelligent agent strategy was officially launched, providing a comprehensive open development platform and support for various application scenarios [6] Group 3: Market Dynamics and User Engagement - The demand for intelligent agents is diverse, with small and medium enterprises seeking more commercial support products from Tencent's intelligent agent development platform [6] - Tencent's AI applications are still in the investment phase, with a focus on enhancing product and service experiences rather than immediate commercialization [7] - User inquiries to Tencent's AI applications have reached the total monthly inquiries from earlier this year, indicating growing engagement [7]