CHINA TELECOM(SH:601728) Shang Hai Zheng Quan Bao·2025-08-14 11:17Financial Performance - In the first half of 2025, the company's operating revenue reached 269.4 billion yuan, a year-on-year increase of 1.3% [2] - The net profit attributable to shareholders was 23 billion yuan, reflecting a year-on-year growth of 5.5% [2] - The company declared an interim dividend of 0.1812 yuan per share (including tax), which is 72% of the profit attributable to shareholders, marking an 8.4% increase year-on-year, totaling 16.58 billion yuan [2] Revenue Growth in AI and Digital Services - The revenue from intelligent services, including AI and computing services, surged by 89.4% year-on-year, amounting to 6.3 billion yuan in the first half of 2025 [4] - The company's digitalization revenue reached 74.9 billion yuan, with AIDC revenue growing by 7.4% [4] - Key product revenues showed significant growth: Tianyi Cloud revenue reached 57.3 billion yuan, security revenue increased by 18.2% to 9.1 billion yuan, and satellite revenue grew by 20.5% [4] AI Infrastructure and Services - The company has established a smart cloud system centered around its technology "Xirang," providing integrated services of computing power, platforms, data, models, and applications [6] - Total computing power, including self-owned and accessed resources, reached 77 EFLOPS, offering heterogeneous computing services across various computing types [6] - The company is advancing AI technology across 21 key areas, developing over 160 AI applications to enhance operational efficiency and reduce costs [7] Strategic Initiatives - The company is actively promoting the "AI+" initiative, collaborating with over 30 central enterprises to create AI application benchmarks and establishing a demonstration base for AI applications [5][6] - It has built over 80 industry-specific large models and served more than 20,000 industry clients, facilitating digital transformation [6] - The company has initiated 29 high-value scenarios to enhance cloud network operations, resulting in significant reductions in fault handling times and operational efficiency [7]