Core Insights - The growth story of China's cross-border e-commerce in 2025 is now driven by AI, with significant increases in AI usage reported by leading platforms like "Chuhai Jiang" [1][2] - Over 80% of business transactions on "Chuhai Jiang" have become fully AI-driven, supporting 150,000 cross-border sellers [1] - Tencent Cloud reported a 105% year-on-year increase in cloud usage among cross-border e-commerce companies, with AI product usage growing by 70% [1] Group 1 - "Chuhai Jiang" has seen a 1000% increase in weekly AI feature usage within six months of launch [1] - The integration of AI capabilities with Tencent Cloud's underlying technology has enhanced the platform's service offerings, including video content creation [1] - The shift to AI-driven operations is transforming cross-border e-commerce from efficiency tools to core business engines [1] Group 2 - The deep cloud integration allows sellers to produce high-quality commercial videos instantly, even without professional teams [2] - "Chuhai Jiang" achieved a 60% reduction in overall IT costs by migrating global operations to Tencent Cloud, enabling reinvestment into AI initiatives [2] - Over 90% of leading Chinese internet companies engaged in cross-border e-commerce have chosen Tencent Cloud as their partner [2] Group 3 - Tencent Cloud and "Chuhai Jiang" launched the "Cloud Initiation Overseas Plan," offering substantial cloud vouchers and free AI tool usage to support cross-border e-commerce [2] - Future collaborations will focus on private AI customer service and vertical large models to assist more Chinese brands in global expansion [2]

《管理办法》明确，项目资金计划按照各攻关项目中期评估成绩，在年度预算限额内，分类分档给 予资金支持。重大产业创新攻关类项目每年实施30个左右，分档分别给予最高500万元资金补助。业态 模式创新攻关类项目每年实施5个左右，分档分别给予最高200万元资金补助。场景创新攻关类项目每年 实施25个左右，分档分别给予最高150万元资金补助。 攻关项目分为重大产业创新类、业态模式创新类、场景创新类共三大类。其中，重大产业创新类项 目是指瞄准产业集群、产业链核心和断点，推动创新成果向新质生产力转化，通过较大规模投资落地， 促进"重大产业创新突破+产业化"，形成更具竞争优势的支撑性、引领性产业化重点项目。业态模式创 新类项目是指聚焦经营业态和商业模式再创造、再生产，通过价值重塑、要素重组、数智技术与产业创 新深度融合，推出的具备颠覆性和前瞻性，能够引发行业创新和变革的产业化重点项目。场景创新类项 目是指面向产业升级、智慧城市、公共服务等场景创新需求，运用人工智能、云计算、机器人等前沿科 技，形成具有引领示范作用、复制推广价值、迭代升级功能的新方案、新产品、新模式。 攻关项目支持产业领域，包括"十强产业"领域及省委、省政府部署 ...

作为世界上最大的水利枢纽工程，三峡工程是我国"西电东送"和"南北互供"的骨干电源点，如今，这 一"国之重器"正在大数据、云计算、人工智能、数字孪生等技术赋能之下，加速变革，在新时代给出了 智慧"三峡方案"。 来源：人民网-科普中国 【编者按】千万IP创科普，共筑科技强国梦。为普及科学知识，弘扬科学精神，提高全民科学文化素 质，助力实现高水平科技自立自强，中国科协科普部与人民网联合策划推出"见证科技之路"主题报道， 聚焦国家科技战略政策、重要科技奖项、"卡脖子"关键核心技术等，深入基层一线开展采访调研，推出 一批生动鲜活的科普精品，大力弘扬科学家精神，为建设科技强国汇聚磅礴力量。 0:00 ...

责任编辑：韦子蓉 新浪科技讯 12月29日下午消息，中央广播电视总台《2026年春节联欢晚会》分会场宣布，火山引擎成 为2026年春晚独家AI云合作伙伴。 火山引擎表示，基于业界前沿的多模态大模型和云计算技术，火山引擎将深度参与到总台春晚节目、线 上互动和视频直播中，以科技之力为这场全球华人的团圆盛宴添彩。 据了解，作为字节跳动旗下的云和AI服务平台，火山引擎在过去5年为抖音的春晚直播提供技术支撑， 并圆满支持了抖音在2021年总台春晚的703亿次红包互动。 责任编辑：韦子蓉 新浪科技讯 12月29日下午消息，中央广播电视总台《2026年春节联欢晚会》分会场宣布，火山引擎成 为2026年春晚独家AI云合作伙伴。 火山引擎表示，基于业界前沿的多模态大模型和云计算技术，火山引擎将深度参与到总台春晚节目、线 上互动和视频直播中，以科技之力为这场全球华人的团圆盛宴添彩。 据了解，作为字节跳动旗下的云和AI服务平台，火山引擎在过去5年为抖音的春晚直播提供技术支撑， 并圆满支持了抖音在2021年总台春晚的703亿次红包互动。 ...

近日，中国企业改革与发展研究会（中企研）2025（第九届）中国企业改革发展优秀成果申报审定发布 活动候选名单正式公布，中国电信翼支付与行业权威咨询机构联合申报的《数智科技型企业的改革创新 发展路径》改革案例在716项申报成果中脱颖而出，荣获"中国企业改革发展优秀成果"一等奖。 中国企业改革与发展研究会（中企研）是经国务院批准、国务院国资委主管的全国性一级社团组织，其 组织评选的"中国企业改革发展优秀成果"是国内企业改革领域具有高度权威性和影响力的奖项。本届受 理申报的716项成果经审定办公室初审、专家审定委员会复审，最终评选出特等奖5项、一等奖49项、二 等奖68项、三等奖78项。中国电信翼支付荣列一等奖榜单，标志着其改革实践获得国家层面的高度认 可。 获奖课题《数智科技型企业的改革创新发展路径》立足全球数字经济浪潮，聚焦人工智能、大数据、云 计算等技术驱动的产业变革，为响应国家"数字中国"战略，探索国有科技型企业的发展新路。中国电信 翼支付通过企业访谈、集中座谈、专家研讨等方式，深入调研数智科技企业的转型进展与成效，系统分 析当前数智科技型企业数字化转型现状及改革痛点，研究体制机制、技术应用、人才激励等关键 ...

12月29日，中衡设计盘中涨停，截至09:35，报11.62元/股，成交1.34亿元，换手率4.28%，总市值32.09 亿元。 中衡设计所属申万行业为：建筑装饰-工程咨询服务Ⅱ-工程咨询服务Ⅲ。所属概念板块包括：虚拟现 实、云计算、设计咨询、元宇宙概念、智慧城市等。 截至9月30日，中衡设计股东户数2.15万，较上期减少22.93%；人均流通股12835股，较上期增加 28.98%。2025年1月-9月，中衡设计实现营业收入7.78亿元，同比减少15.36%；归母净利润5626.81万 元，同比减少15.85%。 分红方面，中衡设计A股上市后累计派现7.77亿元。近三年，累计派现1.65亿元。 责任编辑：小浪快报 资金流向方面，主力资金净流入1194.70万元，特大单买入260.99万元，占比1.94%，卖出127.13万元， 占比0.95%；大单买入1917.82万元，占比14.27%，卖出856.98万元，占比6.38%。 中衡设计今年以来股价涨48.37%，近5个交易日涨12.93%，近20日涨6.22%，近60日涨17.46%。 今年以来中衡设计已经5次登上龙虎榜，最近一次登上龙虎榜为6月11日，当 ...

芯原股份 20251228 摘要 新元股份 2025 年前三季度新签订单 15.93 亿元，65%与 AI 算力相关， 手持订单达 32.86 亿元，营收 22.55 亿元，同比增长 36.64%。一站式 芯片定制服务增长超 50%，先进工艺（28 纳米以下）占比 94%，更先 进工艺（14 纳米以下）占比 81%，AI 算力相关芯片设计业务收入占比 73%。 2025 年前三季度，新元股份量产出货芯片 112 个，另有 47 个量产设 计项目在进行中。数据处理领域需求强劲，第三季度收入同比大涨 180%。 大基金减持新元股份 1.7%股份属正常操作，因一期投资已满十年。大 基金三期拟投资 13 亿元并购逐点半导体项目，显示国家长期支持。上 海国投先导、北京亦庄国投等机构也参与支持该并购。 新元股份四季度新签订单 24.94 亿元，84%以上与 AI 算力相关，涵盖 云端训练和端侧推理项目，包括数据中心服务器、高性能云端设备，以 及 AI PC、AI 手机等端侧设备。关注 AR 眼镜、玩具及 iPad 等增量市场。 Q&A 新元股份在 2025 年第四季度的新签订单情况如何？ 截至 2025 年 12 月 2 ...

Core Viewpoint - The revised Foreign Trade Law draft emphasizes the support and encouragement of digital trade development, providing legal guarantees for its growth, which is seen as a crucial engine for high-quality foreign trade development in China [1][2]. Group 1: Digital Trade Development - Digital trade is characterized by data as a key production factor, digital services as core content, and digital ordering and delivery as main features, encompassing various sectors such as digital services, digital products, and cross-border e-commerce [1]. - During the "14th Five-Year Plan" period, China has achieved significant expansion, structural optimization, and system improvement in digital trade, enhancing its cultural soft power and international influence through competitive advantages in cloud computing and artificial intelligence [1][2]. Group 2: Policy and Regulatory Framework - The digital trade policy system is gradually being improved with the introduction of laws and regulations such as the "Data Exit Security Assessment Measures" and "Regulations on Promoting and Regulating Cross-Border Data Flow," which strengthen the legal foundation for digital trade [2]. - Core digital trade platforms like free trade pilot zones and national digital service export bases are addressing systemic barriers and generating replicable experiences to unleash the potential of digital trade [2]. Group 3: Challenges and Solutions - Current challenges in China's digital trade include competition for global digital trade rule dominance, insufficient core technology innovation capabilities, and lagging intellectual property protection mechanisms [3]. - To address these challenges, it is essential to enhance innovation-driven development, focus on key technological breakthroughs, and improve digital infrastructure, including advancements in 5G networks and the development of quantum computing [3][4]. Group 4: Regulatory and Institutional Enhancements - There is a need to accelerate the legislative process in the digital trade sector, establishing foundational systems for data property rights, transaction rules, and security guarantees, while creating a modern regulatory framework that aligns with digital trade characteristics [4]. - Optimizing digital trade supervision through the use of big data, artificial intelligence, and blockchain technologies is crucial for effective regulation of business entities [4]. Group 5: Global Integration and Influence - Actively integrating into the global digital trade system and participating in global governance is vital for enhancing China's rule-making power and influence in the digital trade sector [5]. - Strengthening the construction of standardization technical organizations and cultivating influential industry associations will support the expansion of digital trade [5].

Core Insights - The article chronicles the journey of Suzhou Shengwang IDC, highlighting the evolution of the company from a small operation in a tin house to a significant player in the data center industry over two decades. The founder reflects on the challenges faced, including market skepticism, price wars, and the need for technological upgrades to stay competitive in a rapidly changing environment [1][18]. Group 1: Early Years (2005-2010) - In 2005, the company started in a 120 square meter tin house with an initial investment of 200,000 yuan, purchasing eight second-hand cabinets and an IBM mini-computer [1][2]. - The first client was a foreign trade company that required server hosting, marking the beginning of the company's revenue generation [1][2]. - The founder faced significant challenges, including extreme temperatures in the tin house and a lack of market understanding, with many potential clients mistaking IDC services for simple server sales [4][2]. Group 2: Growth and Challenges (2011-2015) - The year 2008 marked a turning point as the e-commerce boom led to increased demand, with cabinet rental rates rising from 40% to 90% [6][8]. - However, a price war ensued as many new competitors entered the market, causing rental prices to drop significantly from 80,000 yuan in 2012 to as low as 30,000 yuan by 2014 [6][8]. - A major crisis occurred in 2013 when a competitor's power failure damaged the industry's reputation, leading to a loss of clients and necessitating significant investments in infrastructure to regain trust [8][6]. Group 3: Transformation and Innovation (2016-2020) - The introduction of the "green data center" policy in 2016 required a PUE (Power Usage Effectiveness) of 1.4 or lower, prompting the company to adopt liquid cooling technology to reduce its PUE from 1.8 to below 1.3 [10][12]. - The founder took significant financial risks, including mortgaging property and borrowing 2 million yuan to fund the necessary equipment for the upgrade [10][12]. - By 2018, approximately 37% of traditional IDC providers were eliminated due to failure to upgrade, while Suzhou Shengwang thrived by leveraging liquid cooling and hybrid cloud services [12][10]. Group 4: Current Trends and Future Outlook (2021-2025) - The rise of AI and the demand for high-density computing environments have led to a new wave of transformation in the IDC industry, with the company upgrading its facilities to support GPU clusters [13][14]. - A significant challenge remains in recruiting talent capable of managing advanced technologies, with a talent supply-demand ratio of 1:2.3 in Suzhou [13][14]. - The company continues to adapt, emphasizing the importance of staying ahead of technological trends and maintaining client trust in a rapidly evolving digital landscape [16][18].

Investment Rating - The report upgrades the investment rating of Baidu Group to "Buy" with a target price of HKD 172.54 per share, indicating an upside potential of 44% [6][2]. Core Insights - Baidu is positioned to benefit from the accelerating demand for AI cloud services, with significant growth in its intelligent cloud business and advancements in its Kunlun chip technology [5][8]. - The company has achieved a market-leading position in AI large model solutions, capturing a 16.6% market share in the first half of 2025 [8][38]. - The report anticipates Baidu's overall revenue for 2025-2027 to be RMB 1285 billion, RMB 1331 billion, and RMB 1410 billion, respectively, with corresponding growth rates of -3%, 4%, and 6% [7][6]. Financial Data and Profit Forecast - Revenue projections for Baidu Group are as follows: - 2023: RMB 1346 billion - 2024: RMB 1331 billion - 2025E: RMB 1285 billion - 2026E: RMB 1331 billion - 2027E: RMB 1410 billion - Non-GAAP net profit estimates are: - 2023: RMB 287 billion - 2024: RMB 270 billion - 2025E: RMB 176 billion - 2026E: RMB 203 billion - 2027E: RMB 220 billion - Adjusted earnings per share are projected to be: - 2023: RMB 10.28 - 2024: RMB 9.65 - 2025E: RMB 6.31 - 2026E: RMB 7.27 - 2027E: RMB 7.87 [4][7]. Industry Overview - The AI cloud market is experiencing rapid growth, with major players like Alibaba and Tencent increasing their capital expenditures significantly since Q3 2024, indicating a competitive landscape [5][14]. - Baidu's intelligent cloud revenue reached RMB 62 billion in Q3 2025, with a year-on-year growth of 31%, contributing to 37% of Baidu's core revenue [28][32]. - The report highlights that Baidu's full-stack AI capabilities, including its self-developed Kunlun chips and comprehensive AI solutions, provide a competitive edge in the market [8][46]. Product Development and Market Position - Baidu's Kunlun chip series is set to expand with the launch of M100 and M300 chips, aimed at enhancing performance for large-scale AI model training and inference [49][50]. - The company has established a strong presence in various sectors, including internet, finance, and energy, with significant deployments of its AI solutions [54][55]. - Baidu's AI applications, such as its intelligent agents and cloud services, are gaining traction, with a total monthly active users (MAU) of nearly 300 million for its core applications [38][8].