本报讯 （记者毛艺融）7月30日，威胜信息技术股份有限公司（以下简称"威胜信息"）发布2025年半年 度利润分配方案公告，拟派发现金红利1.22亿元，占其半年度归母净利润的40%，是公司首次中期分 红。 今年以来，上海证券交易所市场（以下简称"沪市"）1501家上市公司累计派现1.38万亿元。最新数据显 示，沪市公司中期分红热度不减，一波"现金红包"已经提前锁定。今年以来，11家沪市公司在年内推出 中期分红方案（含3家一季报分红），合计派发总额超43亿元。 2025年半年报披露窗口开启以来，已有东鹏饮料（集团）股份有限公司（以下简称"东鹏饮料"）、无锡 药明康德新药开发股份有限公司（以下简称"药明康德"）等公司预计派现均超过10亿元。随着沪市中期 分红"预热"氛围渐浓，2025年度中期分红"钱"景可期。 中期分红"预热"力度大 2024年度，沪市中期分红实现爆发式增长，约504家次公司实施分红，金额高达5800亿元，家次和金额 分别是前三年总和的2.2倍和1.2倍。2021年至2023年，沪市中期分红家数分别为64家次、58家次、107家 次，分红金额分别为858亿元、2081亿元、2025亿元。工商银行、农 ...

Core Viewpoint - The upcoming "14th Five-Year Plan" marks a critical phase for state-owned enterprises (SOEs) in China, as they face intensified market competition and the need for high-quality development, with digitalization and AI technologies offering new solutions for reform and transformation [1] Group 1: Challenges in SOE Reform - Efficiency Dilemma: SOEs struggle with complex internal management processes, leading to slow decision-making and lengthy project approval times, which can take weeks or even months [2] - Innovation Bottleneck: Many SOEs face severe product and service homogenization, failing to meet the diverse and personalized demands of consumers, particularly in emerging sectors [3] - Management Issues: The lack of a unified data management system results in data silos, making it difficult for SOEs to analyze and utilize data effectively for strategic decision-making [4] Group 2: Digitalization and AI as Solutions - Digital Process Reengineering: By implementing digital technologies, SOEs can streamline internal processes, significantly reducing project approval times from an average of 45 days to just 7 days, thereby enhancing operational efficiency [5] - AI-Driven Innovation: AI technologies can analyze consumer data from various channels to identify preferences and needs, enabling SOEs to develop targeted products and services, such as personalized medications in the pharmaceutical sector [6] - Data-Intelligent Decision-Making: The integration of digitalization and AI allows SOEs to conduct in-depth data analysis, providing management with scientific decision-making support, as demonstrated by a state-owned energy company optimizing production strategies through data insights [7] Group 3: Successful Practices - China Telecom: The development of an AI model that covers over 30 dialects has improved communication services for elderly and remote users, setting a benchmark for digital transformation in the telecommunications sector [8][9] - China Merchants Shekou: The implementation of an AIGC-based design system has led to reduced costs and improved efficiency in construction projects, showcasing a successful case of innovation in traditional industries [10] - Tieling Hanhe Group: The deployment of a smart management system in asset management has transformed the operational model from heavy asset holding to light asset services, providing a reference for SOEs in asset management reform [11] Group 4: Challenges and Responses - Data Security and Privacy Protection: Ensuring data security is crucial for SOEs, which must establish comprehensive data management systems to protect sensitive information from external threats [12] - Shortage of Technical Talent: The lack of skilled professionals who understand both business and technology poses a challenge for SOEs in their digital transformation efforts [13] - System Integration and Collaboration Issues: The coexistence of diverse systems within SOEs complicates the integration of digital and AI technologies, necessitating the establishment of unified technical standards and collaborative mechanisms [14]