据中移金科移动出行产品负责人系统介绍，移动出行以"AI+通信+出行"为技术路径，依托中国移动全 网交通出行云平台，面向公共、共享和车主三大场景，为用户提供更加便捷的一站式出行体验。目前， 公共出行场景已支持用户在全国336个地级以上城市及港澳地区实现公交、地铁等场景的"手机无感通 行"，弱网、熄屏情况下也可完成快速过闸。 值得一提的是，在推进绿色低碳创新方面，中移金科推出以"手机号即碳账户ID"为核心理念的个人碳账 户方案。依托出行云平台的底层数据与方法体系，平台可自动记录用户绿色出行行为并形成碳积分激励 闭环。未来，该体系将融入更多场景，构建全周期个人碳普惠服务，为交通行业低碳转型提供可推广的 实践路径。 从参与行业标准制定，到打造全国交通出行云平台，再到携手生态伙伴构建跨场景融合服务体系，据了 解，移动出行正成为中国移动数字化服务能力的重要载体。中移金科表示，将坚持科技创新与绿色发展 并重，以数字技术推动公共出行更便捷、交通服务更高效、绿色生活更普惠。 会议由中移动金融科技有限公司（以下简称"中移金科"）举办，包括中国石油、中航信、北京中交金卡 等在内的多领域合作伙伴参会，共同围绕数字化出行、绿色低碳和行 ...

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The rapid development of artificial intelligence is profoundly changing production and lifestyle, driving the upgrade of 5G core networks to AI core networks. Leading operators are actively practicing the commercial monetization of 5G-A intelligent core networks and considering the evolution towards an intelligent native Agentic Core [7][21] - The report identifies six major trends in the evolution of core networks, which have generated significant impact in the industry [7] Summary by Sections Trend One: Experience Management - The exploration of experience management for commercial monetization is beginning to show results, with operators enhancing operational capabilities through intelligence. Over 60% of users are willing to pay for better experiences, making experience rights a core competitive trend for operators [9][30] - Leading operators are exploring how to convert network experience into profitable rights products, combining high-end packages with scenario-based acceleration services to enhance user loyalty and open new revenue channels [30][31] Trend Two: AI Calling - AI Calling helps operators build an exceptional basic calling experience, evolving from voice assistants to multi-modal general assistants, thus seizing the AI business entry point. Operators are leveraging their unique advantages, such as a large user base and trusted numbering systems, to create differentiated competitive barriers [10][60] - The integration of AI capabilities into the entire calling process is key to enhancing user stickiness and stabilizing average call duration [57][61] Trend Three: Autonomous Network Level 4 (AN L4) - AN L4 has become an industry consensus, with network stability and operational efficiency being core strategic goals for operators. The TM Forum has designated 2025 as the commercial year for AN L4, with leading operators beginning to formulate their strategies [11][69] - The introduction of "digital employees" based on intelligent agent technology is playing a crucial role in complaint handling and alarm processing workflows [11] Trend Four: Intelligent Private Networks - The evolution of 5G-A connectivity capabilities is accelerating the development of intelligent private networks, which serve as accelerators for digital transformation across various industries. The integration of AI capabilities into connectivity is essential for building a robust foundation for enterprise AI applications [12] Trend Five: Collaborative Network Operations - The integration of communication, sensing, and computing capabilities is expected to release suppressed traffic and activate intelligent computing services. The report highlights the growing demand for high-definition video and the need for operators to enhance their network capabilities to meet this demand [13] Trend Six: Telecom Cloud Evolution - The telecom cloud is evolving from traditional cloud infrastructure to AI-native infrastructure, enabling operators to transition from "connectivity pipelines" to "connectivity + intelligent computing." This evolution is crucial for supporting the comprehensive intelligence of operator networks [14] Trend Seven: Agentic Core - The trend of agentification in AI terminals and services is driving the agentification of network architecture, enhancing differentiated connectivity capabilities and creating new business paradigms for on-demand network usage. The global digital services market based on agentified networks is projected to exceed $2.5 trillion by 2030 [15]

在数字化转型加速推进的背景下，威海移动充分发挥AI大模型与算力网络优势，为山东乳山农商行推 出"AI+书+课"企业智慧学习解决方案，提供"多元化内容+数智化产品+一站式服务"的全方位知识服 务，助力企业构建高效、精准的数字化学习体系。 全品类资源供给，打造企业专属"知识宝库" 在AI+学习内容生产方面，威海移动为乳山农商行搭建了涵盖纸质与数字资源的综合性学习平台。其 中，纸质图书库包含100万册正版书籍，覆盖红色经典、经济金融、职场技能等多个领域，员工可自主 兑换并享受"1件包邮"便捷服务。数字资源方面，平台提供海量电子书、有声课程及AI朗读功能，满足 员工碎片化学习需求；同时引入"大咖说课"专栏，汇聚财经、科技等领域专家观点，并整合主流知识平 台资源，实现"一站式"学习体验。 线上线下融合，构建沉浸式学习场景 项目采用"OMO（Online-Merge-Offline）"模式，打造立体化学习场景，激发学员学习兴趣。线上，融 合图文/视频/音频多形态荐书形式，激发学习热情，助力企业知识沉淀，云端共读，实现思维碰撞，助 力企业塑造内部共识，AI知识竞答，打造趣味学习氛围。线下，组织开展"书香农商 阅启新程"共读 ...

具体来看，包括中国移动、工商银行在内的公司中期分红金额超500亿元，此外建设银行、农业银行、 中国银行、中国海油、贵州茅台等多家公司中期分红金额在300亿元以上。 临近年底，上市公司密集派发中期红利。根据媒体统计，截至12月10日，今年以来3762家A股上市公司 合计分红金额达2.46万亿元，再创历史新高。此外，仍有36家公司发布了分红派息实时公告，拟分红金 额合计1518亿元。全年分红总额有望首次突破2.6万亿元关口。 随着上市公司分红推进，以及分红总额不断创新高。红利主题ETF也通过定期评估分红，提升投资者获 得感和体验感。 消息面上，近期港股红利低波ETF（520550）及中证红利质量ETF（159209）12月10日同步发布12月分 红评估结果。 其中，港股红利低波ETF（520550）为上市以来第8次分红，这次每十份分红0.04元，分红比例0.32%。 中证红利质量ETF（159209）为上市以来第6次分红，分红比例为0.26%。两只ETF分红权益登记日均为 12月12日。 | 港股红利低波ETF（520550）分红概览 | | | | --- | --- | --- | | 收益分配基准日 | | ...

| 公司名称 | 持股额变动 | 持股数变动 | | --- | --- | --- | | 小米集团－Ｗ(01810) | +43.23亿元 | +10346.72万股 | | 盈富基金(02800) | +29.93亿元 | +11644.65万股 | | 零跑汽车(09863) | +10.16亿元 | +2051.66万股 | | 招商银行(03968) | +8.21亿元 | +1629.80万股 | | 比亚迪股份(01211) | +7.60亿元 | +777.90万股 | | 美团-W(03690) | +6.14亿元 | +613.64万股 | | 泡泡玛特(09992) | +5.06亿元 | +265.63万股 | | 恆生中国企业(02828) | +4.77亿元 | +520.34万股 | | 康方生物(09926) | +4.53亿元 | +387.80万股 | | 商汤-W(00020) | +3.89亿元 | +18009.70万股 | 3、港股通最近5个交易日减持榜（前10名） | 公司名称 | 持股额变动 | 持股数变动 | | --- | --- | --- | | 腾讯 ...

"十四五"时期，云南省民族团结进步示范区、生态文明建设排头兵、面向南亚东南亚辐射中心"三个定 位"建设取得新成就。中国移动云南公司（简称"云南移动"）围绕云南省"面向南亚东南亚辐射中心"定 位，争做"数字两亚"先行者，深耕信息通信领域新质生产力培育，为云南建设面向南亚东南亚的数字信 息大通道积极贡献力量。 推动技术应用，拓宽数字信息大通道 云南移动发布"云移智算"品牌，联合生态合作伙伴推动人工智能产业应用面向全国拓展铺开，带动人工 智能产业产值增长，"排头兵"作用充分彰显。 云南移动建强算力规模，全省单体最大的智算中心——中国移动数字两亚（昆明）智算中心全面投产， 千卡智算集群加速落地，算力供给能力达1.75万PFlops。该智算中心B02栋于11月入选《2025年度国家 绿色数据中心名单》，成为云南省唯一入选该名单的项目。智算中心通过高压冷水机组、板式换热、液 冷及全空气制冷等多种节能技术的综合应用，2024年PUE（电能利用效率）达1.22。 构建平台能力。云南移动打造云南数字出海公共服务平台，为出海企业、监管部门提供一体化支撑保障 服务，成为科学决策的"智慧大脑"。 盘活数据资源。云南移动建设运营昆明国 ...

中国移动互联网流量季度 2025Q3 报告由艾瑞咨询发布，基于多平台网民行为监测数据，全面呈现2025年Q3中国移动互联网整体发展态势、细分行业动态及用户行为特征，为行业决策提供 参考。 整体来看，移动互联网流量稳步增长，用户行为向"低频深用"转型。截至2025Q3，月独立设备数增至14.52亿台，环比增长0.83%；用户单机单日使用时长达 282.9分钟，环比增长2.3%，但使用次数降至59.8次，显示用户更倾向于深度沉浸使用。用户结构方面，未婚群体占比32.7%，同比提升1.39%，二线及以上 城市用户占比提升4.2%，中高线未婚群体成为增长核心驱动力，不同年龄与城市级别用户的触媒偏好差异显著。 细分行业呈现差异化发展格局。人工智能成为最大增长黑马，行业MAU达4.7亿台，三季度月均新增用户超1000万，语言模型用户规模同比增长321%，豆包 等APP流量高速扩张；旅游出行需求持续释放，MAU达11.3亿台，使用时长同比增长超15%，铁路12306、携程旅行等APP增速领先。内容消费领域，短视 频仍占据用户注意力首位，优酷凭借精品内容战略实现用户规模与粘性双增长；长视频进入成熟期，存量竞争聚焦内容创新；电 ...

证券日报网讯 12月9日晚间，中国移动（600941）发布公告称，因港股股票期权激励计划行权致总股数 增至21，641，494，692股，中国移动通信集团有限公司合计持股比例由69.0022%被动稀释至 68.9993%，权益变动触及1%刻度。 ...

Core Viewpoint - The establishment of a trusted data space in the central state-owned enterprise sector is aimed at accelerating the market-oriented and value-oriented process of data elements, leveraging the role of state-owned enterprises in the national data market reform [1][2]. Group 1: Pilot Program and Key Participants - The State-owned Assets Supervision and Administration Commission announced a pilot program for the construction of trusted data space systems, involving major central enterprises such as China Telecom, China Mobile, China Unicom, and others [1]. - The core task of the pilot program is to promote interconnectivity and ecological co-construction of trusted data spaces across industries and enterprises within the central state-owned enterprise sector [1][2]. Group 2: Infrastructure and Operational Model - The trusted data space will be built on a model of "co-construction, co-creation, sharing, and common use," utilizing dedicated public cloud computing and data transmission networks provided by the three major telecom operators [1][2]. - A unified set of rules for data circulation and a secure environment for trusted data usage will be established, facilitating efficient data sharing, trading, and utilization [2]. Group 3: Innovation and Collaboration - The trusted data space will explore innovative data operation models and revenue distribution mechanisms, promoting collaboration among central enterprises and their upstream and downstream partners [3]. - The initiative aims to incubate new technologies, products, models, and business formats through demand-driven approaches and scenario validation, thereby empowering industrial upgrades and high-quality development [3].

前十大沽空偏离值排行 | 股票名称 | 沽空金额 | 沽空比率 | 偏离值↓ | | --- | --- | --- | --- | | 华润啤酒-R(80291) | 37.36 万元 | 100.00% | 39.83% | | 建发物业(02156) | 117.92 万元 | 50.08% | 37.09% | | 友邦保险-R(81299) | 16.95 万元 | 100.00% | 35.65% | | 粤海投资(00270) | 6751.79 万元 | 44.09% | 35.26% | | 大家乐集团(00341) | 415.62 万元 | 56.56% | 31.38% | | 比亚迪股份-R(81211) | 27.61 万元 | 86.09% | 30.18% | | 长江基建集团(01038) | 7695.64 万元 | 44.62% | 27.94% | | 京东集团-SWR(89618) | 9.96 万元 | 90.48% | 27.32% | | 中国移动-R(80941) | 418.72 万元 | 74.83% | 26.15% | | 珍酒李渡(06979) | ...