Group 1 - The article emphasizes the importance of deepening the integration of the digital economy with the real economy to create a strong driving force for high-quality development [1] - Guangzhou is implementing the "Guangzhou Smart Innovation Plan" to promote digital industrialization and industrial digitalization, aiming to build a modern industrial system [3] - The collaboration between Guangzhou and major telecommunications companies like China Telecom and China Unicom is highlighted as a foundation for advancing information and digitalization efforts [3] Group 2 - The leaders of the telecommunications companies express gratitude for Guangzhou's support and recognize the city as a key area for strategic development within the Guangdong-Hong Kong-Macao Greater Bay Area [4] - The companies plan to accelerate the integration of digital technologies and enhance cooperation in areas such as new infrastructure, quantum communication, and smart cities to support Guangzhou's high-quality economic development [4] - The article mentions the commitment of local government to provide quality services to enterprises, supporting their growth and innovation [3][4]

Core Insights - Central state-owned enterprises (SOEs) are accelerating their entry into the AI sector amid a global AI wave, driven by policy support, industrial upgrades, and technological changes [1] - A dual challenge exists for these enterprises: the need for speed in AI project deployment while ensuring safety and stability in critical sectors like energy and finance [1][3] - The AI investment landscape for central SOEs has evolved from cautious exploration to strategic scaling, with significant increases in funding and project deployment [2][4] Investment Trends - Initial phase (2015-2019): Central SOEs cautiously explored AI applications, with annual investments generally below 100 million RMB [2] - Scaling phase (2020-2023): Investments surged, with leading SOEs exceeding 1 billion RMB annually, and 90% of SOEs establishing their own AI platforms [2][3] - Current phase (2024 onwards): Policies encourage SOEs to increase AI R&D investment to at least 15%, with a notable rise in AI budget allocations across various sectors [3][4] Application Landscape - Central SOEs are becoming key players in the AI market, with 931 AI model procurement projects initiated in 2024, accounting for 61.3% of the total market [3][10] - Major sectors for AI application include telecommunications, energy, finance, and government, with significant contributions from leading SOEs like China Mobile and State Grid [10][11] - The AI application landscape is shifting from isolated projects to comprehensive, multi-scenario deployments across industries [10] Market Dynamics - The digital market for central SOEs is projected to reach approximately 593.1 billion RMB in 2024, with a compound annual growth rate of 10.7% expected until 2027 [4] - The number of AI model procurement projects increased dramatically from 92 projects worth 789 million RMB in 2023 to 1,520 projects worth 6.467 billion RMB in 2024 [11] - The introduction of models like DeepSeek has accelerated AI integration, with 45% of central SOEs deploying this model within a month of its launch [12][14] Challenges and Considerations - Rapid deployment of AI technologies has led to issues such as resource wastage and inadequate assessment of actual needs, resulting in underutilized computing resources [15] - The complexity of integrating general AI models with specific business requirements poses significant challenges for central SOEs [15][16] - Data security and privacy concerns are heightened, particularly in government-related projects, necessitating careful handling of sensitive information [16]

Core Insights - The low-altitude economy is recognized as a strategic emerging industry in China, essential for high-quality development and the establishment of a modern industrial system [2] - The market size of China's low-altitude economy is projected to reach 1.5 trillion yuan by 2025 and 3.5 trillion yuan by 2035 [2] - A report from Bank of America forecasts a compound annual growth rate (CAGR) of 62% for the adoption of electric vertical takeoff and landing (eVTOL) aircraft globally from 2025 to 2030 [2] Group 1: Industry Developments - China Telecom aims to become a leader in low-altitude intelligent networking and has established a comprehensive low-altitude operation service system covering planning, infrastructure, application scenarios, and operational support [3] - The company has upgraded its low-altitude economic capability system to "1+1+3+N," which includes a comprehensive service solution, an intelligent network, and three operational platforms [3] - China Telecom has signed strategic cooperation agreements with 39 cities and initiated projects in 10 cities, focusing on various applications such as drone inspections and emergency rescue [3] Group 2: Competitive Landscape - China Mobile is positioning itself as a leading information service provider in the low-altitude sector, with a "four-wheel drive and two-wing" capability system to support high-quality development [4] - The company has launched the first 5G-connected airborne terminal, which is compatible with over 200 aircraft models, and has established a large-scale low-altitude communication network [4] - China Mobile has implemented 61 low-altitude coverage routes in key cities and won 166 low-altitude project bids [5] Group 3: Technological Innovations - China Unicom has developed a smart low-altitude application platform and a low-altitude safety supervision platform, focusing on data services and comprehensive urban governance [5] - The smart low-altitude application platform offers integrated services such as command scheduling and AI analysis, enhancing urban governance and emergency response capabilities [5] - The low-altitude safety supervision platform utilizes advanced 5G-A technology for precise positioning of low-altitude aircraft, ensuring safe development of the low-altitude economy [5]

入选全国首批增值电信业务扩大对外开放试点，获批设立国际通信业务出入口局，"游戏出海"规模逐步扩大 —— 海南稳步推进数据安全有序流动 邓白氏中国区总裁吴广宇表示，此次获得增值电信业务经营试点批复，将让该公司有机会向市场提供更 加丰富多元的服务，帮助各类供应商链接全球市场，深度参与全球化产业链分工。 去年10月，海南等四地正式获批启动"增值电信业务扩大对外开放"试点工作，标志着我国电信业对外开 放迈入新阶段。 今年2月18日，海南海底智算舱在陵水海域完成下水，与正在运营的海底数据中心相链接，标志海底智算 中心正式启用。 (资料图) 海南日报全媒体记者 邵长春 全球数字贸易发展离不开频繁的数据跨境活动，而探索实现数据安全有序流动，正是海南自由贸易港建 设的一项重要任务。 近年来，在中央网信办、工信部等部委的指导支持下，海南积极推动数据安全有序流动，成功入选全国 首批增值电信业务扩大对外开放试点，获批设立国际通信业务出入口局，不断完善基础设施建设，推进跨境 海缆建设，"游戏出海"规模逐步扩大，"来数加工"等技术验证成功，加快构建高效便捷安全的数据跨境流动 机制，打造开放型数字经济创新高地，为海南自贸港建设注入新动能 ...

Core Viewpoint - The report emphasizes the integration of computing networks and industrial internet, highlighting that computing networks serve as a new type of information infrastructure centered on computing and rooted in networking, facilitating the digital transformation of industries [1][21]. Group 1: Development Background and Trends - The digital economy and industrial digital transformation require superior network connectivity and robust computing power to meet demands for ultra-high bandwidth, ultra-low latency, and high security [22]. - Computing networks are emerging as a hot topic in the industry, with operators, equipment manufacturers, and research institutions actively engaging in research and establishing a development roadmap and architecture system [24][25]. - International organizations like ITU and IETF are working on establishing standards for computing networks, indicating a global push towards computing and network convergence [26][27]. Group 2: Key Technologies - Key technologies for computing networks include unified metrics for computing and network, real-time user demand and state perception, multi-factor joint scheduling algorithms based on IPv6/SRv6, and ensuring end-to-end service reliability [2]. - The report identifies the need to overcome technical bottlenecks such as heterogeneous hardware abstraction and edge computing collaboration to optimize industrial production processes [2]. Group 3: Application Scenarios - Computing networks will transform the supply, application, and service methods of computing power, enhancing service flexibility and efficiency across various industries [29]. - Specific application scenarios include Cloud VR services, V2X vehicle networking, and green low-carbon initiatives, all benefiting from the integration of computing and networking capabilities [30][32][37]. Group 4: Collaborative Development - The industrial internet network is crucial for connecting people, machines, and objects in industrial environments, with internal and external networks serving different operational needs [39].

Market Overview - The Hang Seng Index fell by 0.21%, down 49 points, closing at 23,857 points, while the Hang Seng Tech Index decreased by 0.59% [1] - The early trading volume in the Hong Kong stock market reached HKD 102.1 billion [1] Sector Performance - The non-ferrous metal sector showed strong performance, with institutions optimistic about sustained profitability; Luoyang Molybdenum Co. rose by 4% and Jiangxi Copper Co. increased by 3.11% [1] - The three major telecom operators in Hong Kong experienced gains, with China Unicom, China Mobile, and China Telecom all rising over 2% [1] Notable Stock Movements - China Silver Group surged over 23%, with spot silver prices reaching nearly USD 36, marking a 13-year high [1] - Longpan Technology saw a rise of 3.35% after signing a large order for 150,000 tons of lithium iron phosphate, indicating a boost in solid-state battery production [1] - Dongyue Group increased by 1.54% as prices for third-generation refrigerants continued to rise, positioning the company as a leader in R22 and R32 quotas [1] - Youjia Innovation rose by 7% after securing a key model for a new energy brand under Changan Automobile [1] - Shijiazhuang Pharmaceutical Group increased by 4.27% after obtaining production registration for calcium gluconate and sodium chloride injection [1] - Zhongxu Future surged over 11% as the issuance of domestic game licenses reached a new high, with multiple new titles planned for release within the year [1] Company-Specific Challenges - Dongfeng Group's stock fell over 3% amid clarification from its controlling shareholder that there are no current restructuring plans, with a reported 17.1% year-on-year decline in vehicle sales for the first five months [2] - Alibaba Health dropped by 3.46% as its profits for the fiscal year 2025 fell short of expectations, with UBS suggesting the company may struggle to maintain its current valuation [3] - The automotive sector faced renewed declines, with analysts predicting an unavoidable new round of price wars, leading to a trend of increased revenue without profit growth; XPeng Motors fell by 2.9% and Li Auto decreased by 1.46% [3]

Core Viewpoint - The establishment of the Guangdong Artificial Intelligence and Robotics Industry Alliance aims to position Guangdong as a global innovation hub for AI and robotics, leveraging its comprehensive industrial chain and favorable policies [1][6]. Group 1: Industry Opportunities - Guangdong is recognized as having the most complete AI industrial chain in China, with a 40% share of the national robot production, benefiting from policy support, industrial concentration, and technological breakthroughs [1][6]. - The region's manufacturing strength, with over 70,000 large-scale enterprises, provides a solid foundation for the development of AI and robotics [6]. - The establishment of the alliance is expected to accelerate the development of emerging industries such as AI chips, low-altitude economy, new energy, and marine equipment [6]. Group 2: Company Initiatives - Guangdong Unicom is actively engaging in the AI sector by establishing the "China Unicom (Guangdong) New Industrialization Research Institute," which aims to empower the manufacturing industry [2]. - The company has developed a range of projects, including 100+ high-quality 5G benchmark demonstration projects and 35 industry-specific large models, serving over 300 clients [3][4]. - Guangdong Unicom's technological layout focuses on five core areas: AI infrastructure, data sets, large models, intelligent agents, and AI security [2][3]. Group 3: Technological Infrastructure - Guangdong Unicom has built the Shaoguan National East Data West Computing Hub to enhance the Bay Area's large-scale cluster layout, with plans for edge computing centers across 21 cities [3]. - The company emphasizes the importance of data, having constructed high-quality industry data sets, with its information and medical data recognized by the State-owned Assets Supervision and Administration Commission [3]. - The AI infrastructure is designed to ensure security, with a governance system in place to protect AI applications [4].

Core Insights - The China Securities TMT Index (港股通 TMT) is currently at 4182.06 points, having decreased by 1.42% over the last three months but increased by 20.33% year-to-date [1] - The index comprises 50 listed companies in the TMT sector selected from the Hong Kong Stock Connect, reflecting the overall performance of related industry securities [1] - The index was established on November 14, 2014, with a base point of 3000.0 [1] Index Holdings - The top ten weighted companies in the index are Xiaomi Group-W (21.08%), Tencent Holdings (14.78%), China Mobile (14.49%), SMIC (7.15%), Kuaishou-W (5.81%), Cheung Kong (4.32%), China Telecom (2.79%), Lenovo Group (2.73%), China Unicom (1.99%), and China Tower (1.89%) [1] - The index's holdings are entirely composed of companies listed on the Hong Kong Stock Exchange [2] Sector Distribution - The sector distribution of the index holdings includes: Electronics (29.41%), Media (25.52%), Telecommunications Services (24.60%), Semiconductors (8.98%), Computers (8.40%), and Communication Equipment & Technology Services (3.09%) [2] - The index samples are adjusted biannually, with adjustments occurring on the next trading day after the second Friday of June and December [2]

济宁玉米大豆田里的"营养师" 传统的农业生产方式中对化肥、农药等化学物质的过度使用不仅导致土壤污染，破坏生态环境，还影响农业可持续发 展。在济宁市梁山县、汶上县，中国联通"元景"大模型化身农田"营养师"，用算法重新定义精耕细作。 "灌溉靠吼、巡田靠走"的旧剧本，正在临沂平邑县高标准农田里被颠覆。18个搭载联通5G摄像头和AI算法的"数字守 田人"，通过视联专网与云端大脑无缝连接，构筑起全天候智慧监控防线。 面对万亩农田"设备分散、巡查困难"的痛点，临沂联通在泵站、水闸等18处关键节点部署高清智能摄像头。依托5G网 络毫秒级回传能力，海量视频数据在视联网平台实时聚合分析——渠道渗漏、水流异常、设备故障等都可及时进行智 能识别和预警。 "视频画面清晰，数据分析精准，仿佛置身于现场，我们可以合理调配水资源，确保每一块农田都能得到及时、适量 的灌溉。"项目管理人员介绍。 风吹麦成浪，蝉鸣夏始忙。芒种时节，田间地头忙碌的景象依旧，但耕作的内涵已悄然生变。AI模型精准推演、无人 机空中巡诊、智能系统按需灌溉……以人工智能为核心的新一代信息技术，正深度融入农业生产的肌理，让古老 的"芒种"告别"盲种"，迎来"慧种"新时代。 ...

Core Viewpoint - The traditional telegram service in China is experiencing a resurgence in interest, particularly after the closure of services in Hangzhou, with a notable increase in telegram sending at the Beijing Xidan Unicom office, highlighting a nostalgic connection to this form of communication [2][4][15]. Group 1: Current Trends in Telegram Usage - The telegram service at Beijing's Xidan Unicom office has seen a significant increase in daily telegrams sent, with numbers rising from an average of 10 to 80-100 telegrams per day following the closure in Hangzhou [4][15]. - Many customers are first-time users, often motivated by curiosity or a desire to experience the unique emotional connection that telegrams provide [3][4]. - Telegrams are increasingly used for special occasions, such as graduations and weddings, with many messages reflecting personal sentiments and emotional significance [6][12]. Group 2: Historical Context and Evolution - The peak of telegram usage in Beijing occurred in 1978, with an annual total of 23 million telegrams sent, and the highest daily volume reaching over 100,000 telegrams [11][15]. - The decline in telegram usage began in the 1990s with the advent of new communication technologies, such as mobile phones and email, leading to a drastic reduction in telegrams sent, with only about 200 sent in 2010 [15]. - Despite the decline, the remaining telegram services are adapting by incorporating modern elements and targeting younger audiences, aiming to revitalize interest in telegrams as a nostalgic and unique form of communication [15].