《中国外商投资报告2025》由商务部发布，系统呈现2024年中国外商投资全貌，分析2025年趋势，涵盖综合、行业、专题、地方四篇，核心内容如下： 2024年全球外国直接投资续降11%，中国实际使用外资1162.4亿美元，保持发展中经济体最大引资国地位。外商投资展现强韧性，新设企业5.9万家增9.9%， 再投资金额1622.8亿元增15%，西部再投资增速达60.6%。产业结构优化，制造业实际使用外资311.2亿美元占比26.8%，高技术制造业占比43.4%；服务业占 比70.8%，生产性服务业中检验检测认证等领域增速显著，外资研发中心加速布局，上海、北京新增数可观。投资来源地方面，亚洲占比85.3%，新加坡连 续12年居首，欧美及部分欧洲、东盟国家对华投资增长快。 政策上，中国持续推进高水平开放，2024 - 2025年出台多部政策，从降低市场准入、维护公平竞争、推动便利化、打造"投资中国"品牌、发挥开放平台作用 五方面发力，如制造业外资准入清零、试点开放增值电信和医疗领域、优化资本市场开放等。 行业上，健康产业规模11.5 - 12万亿元，外资加码且产学研合作深化；新能源汽车产量1288.8万辆，外资企业深度 ...

Core Viewpoint - The new round of "AI Empowering New Industrialization" initiative aims to leverage innovative mechanisms to select key scenarios with high technological difficulty, application prospects, and promotional value for collaborative innovation and breakthroughs in the industrial sector [1][2]. Group 1: Initiative Overview - The initiative will focus on the integration of AI with industrial internet technologies to explore high-value industrial application scenarios [3]. - A special action titled "AI + Manufacturing" will be implemented, along with the release of guidelines for AI applications in manufacturing enterprises [2][3]. - The initiative is expected to create replicable and promotable benchmarks for AI-enabled new industrialization [1]. Group 2: Mechanism and Implementation - The "揭榜挂帅" mechanism allows demand-side entities to publish key technology tasks, enabling capable teams to take on these challenges, thus breaking traditional hierarchies in research [4]. - Teams that take on these challenges must sign a "military order," clarifying their goals, responsibilities, and reward mechanisms [4]. - This mechanism has been in place since November 2018, with the first tasks attracting 1,248 units to participate in tackling challenges in various fields [7]. Group 3: Industry Development - As of September 2025, China is expected to have published 30 national standards for AI, with 84 more under development, indicating a comprehensive AI industry system [3]. - The total financing scale for AI in China has surpassed 100 billion [3].

每经记者｜刘艳美 每经编辑｜杨欢 广西壮族自治区人民政府官网23日消息，9月22日，自治区党委书记、自治区党委全面深化改革委员会 主任陈刚主持召开自治区党委全面深化改革委员会第十四次会议，专题研究广西有色金属特别是关键金 属产业高质量发展工作，审议通过《建设南丹关键金属高质量发展综合试验区总体方案》等文件。 会议强调，推动有色金属特别是关键金属产业高质量发展，要重点抓好"十个一"。其中包括：编制一个 有色金属产业高质量发展"1＋2＋8"规划体系，即广西有色金属产业高质量发展五年规划，以及关键金 属产业创新发展五年规划、铝产业发展规划和八个具体实施方案；高质量打造一个南丹关键金属综合试 验区，鼓励大胆试、大胆闯、大胆干，为全区有色金属特别是关键金属产业高质量发展树标杆作示范； 组建一家广西关键金属产业发展国有企业集团，开展资产评估，优化股权结构，加快完成集团组建并投 入运营等。 解读：南丹县位于广西北部，2024年GDP刚刚超过200亿元，常住人口仅27万人，是一个名副其实的西 部山区小县。广西为何要"押注"这样一个小县城？这背后，其实有着重要考量。 当前，矿产资源作为工业发展的"粮食"和"血液"，战略价值愈发 ...

Core Viewpoint - The bio-manufacturing industry is entering a new phase of accelerated development characterized by clear policies, specific support, and close integration with the real economy [7]. Policy Developments - The National Development and Reform Commission (NDRC) has emphasized the importance of bio-manufacturing as a key part of light industry upgrades, particularly in sectors such as plastic products, textiles, food and beverages, household chemicals, cosmetics, leather, and paper industries [6]. - The recent announcement from the Ministry of Industry and Information Technology highlights support for bio-based, biodegradable materials, and bio-manufacturing industries as part of the "Light Industry Growth Stabilization Work Plan (2025-2026)" [6]. Industry Transformation - Bio-technology is driving a systematic transformation of the light industry from a "resource-consuming" and "cost-competitive" model to a new paradigm focused on green, intelligent, and high-end development through raw material revolution, process innovation, functional upgrades, and supply chain security [6]. Economic Integration - The government is guiding localities to develop new growth engines such as artificial intelligence and bio-manufacturing, focusing on the integration of these technologies into traditional industries to enhance productivity and innovation [4].

本报特约评论员 运用大数据、人工智能等数字技术为文化发展赋能，可以从更广维度打破时空界限，让文化场馆"动起 来"、非遗"热起来"、文物"活起来"。数字出版、数字演艺等新型传播方式的不断涌现，给观众带来更 为便捷、时尚、全方位的视听体验。而动漫游戏、网络音乐、数字文创等新型文化产品和服务层出不 穷，进一步拓展了文化产品的形态与业态，为文化和科技深度融合提供了更多可能。 2025北京文化论坛今日开幕，约800名中外嘉宾将聚焦文化和科技融合发展，围绕科技激发文化原创 力、新科技提升公共文化品质等议题开展深入交流。在"文化+科技"深度融合正在全面打通文化创作、 消费、传播等各环节的形势下，本届论坛无疑是一次汇集众智探索文化和科技融合有效机制，加快发展 新型文化业态的最佳契机。 科技为文化赋能、文化为城市赋能。北京的文化新质生产力正展现出科技驱动产业革新、集群生态加速 形成的繁荣景象。这种新质生产力已成为推动文化产业高质量发展的强大动力。今年上半年，全市规模 以上文化企业实现营业收入1.22万亿元，同比增长13.3%。其中，文化新业态企业实现营业收入8808.8 亿元，同比增长15.9%，占全市文化企业营业收入的比重高 ...

尽管通用量子计算机还未面世，但全球科研界也都在为突破量子技术作出不断探索。 在2025浦江创新论坛"AI量子：量子智能"专题论坛上，图灵奖得主、上海期智研究院院长姚期智院士接受第一财经在内的媒体采访时表示，我国的量子产业 目前仍处于起步阶段，市场规模有限，并主要集中于科研仪器与基础实验。但他也表示，量子技术并不只局限于量子计算机，量子导航等应用正逐渐显现潜 力。未来五到十年，很多产业都会从量子科技中产生。 金叶子 / 摄 作为一位教育工作者，姚期智创建的清华大学"姚班"，培养了诸多计算机科学创新人才。2010年，姚期智牵头设立清华大学交叉信息研究院时，同时设立了 量子实验室，来设计和建造量子计算机。彼时，国内还鲜少有人关注量子计算机。 未来五到十年，很多产业都会从量子科技中产生。 "（研究院）过去十五年间，我们将量子计算、人工智能与密码学三大前沿方向作为重点，力求在十年后实现与世界同步的突破。如今看来，这一目标已基 本达成，研究院所开展的工作在国际上产生了重要影响。"姚期智说。 谈到我国的人工智能发展现状，他认为，从宏观上看，中国的AI产业应用现在处于世界第一行列，支撑之一关键是人才储备，但在源头创新上，人才 ...

新华财经北京9月22日电近日，第三届数字生态与治理论坛暨数字生态指数2025发布会在山东省济南市 举行。会议由济南市大数据局指导，北京大学大数据分析与应用技术国家工程实验室（以下简称实验 室）、北京大学重庆大数据研究院和北京大学长沙计算与数字经济研究院联合主办，山东国家应用数学 中心承办。 在会上，《数字生态指数2025》报告正式发布，该系列报告已连续六年发布。报告重点剖析了人工智能 产业发展的规律，为国家对外积极调整全球数字治理战略定位，地方出台相关政策法规，以及行业实现 数智化转型提供决策依据。 北京大学先进制造与机器人学院教授、北京大学长沙计算与数字经济研究院副院长宋洁认为，随着人工 智能技术与产业的快速发展，人机共生正日益成为数字生态的显著特征。目前，我国人工智能产业迎来 爆发式增长，发展潜力巨大，这得益于数字基础设施、数字能力与数字应用三大支柱的长期稳健发展。 当前，"人工智能+"已上升为国家战略，各大城市积极抢占人工智能新赛道，呈现出争先恐后、竞相发 展的局面。在这一过程中，数字能力发挥着关键作用，科技创新与产业创新的协同尤为关键。然而，数 字能力往往需经过长期持续培育，这也是各地区推动数字生态迈 ...

Group 1 - The Hong Kong government aims to accelerate the development of emerging industries, particularly artificial intelligence (AI), as highlighted in the Chief Executive's policy address [1][3] - The policy address emphasizes the introduction of AI applications in various sectors, including healthcare, with specific examples such as digital pathology technology to enhance accuracy in analysis [3][5] - The report indicates a shift in Hong Kong's innovation landscape, moving from a "strong science, weak technology" state to a more balanced approach that encourages AI enterprise aggregation and industry adoption [3][5] Group 2 - A funding initiative of HKD 3 billion for a "Frontier Technology Research Support Scheme" and a planned establishment of a "Hong Kong AI Research Institute" with HKD 1 billion reserved for 2026 is announced [5] - The report also highlights the importance of talent acquisition in driving AI innovation, with over 500 AI companies and 5,000 technical professionals already present in the Hong Kong Science Park [5][6] - The focus on aerospace technology and support for the space economy is expected to open new opportunities for Hong Kong [5]

Group 1: AI Industry Development Plan - The "Artificial Intelligence+" city action plan aims to gather over 3,000 AI companies in Suzhou by the end of 2026, with an annual growth rate of over 20% in the core scale of the smart economy [1] - The plan includes the establishment of 20 municipal AI industrial parks and the cultivation of 350 vertical large models and 200 typical application scenarios, with a total intelligent computing scale reaching 17,000 PFLOPS by 2026 [1] - A fund cluster exceeding 50 billion yuan will be formed to support development, with over 120 AI service algorithms registered nationally and the establishment of 5 national open-source platforms [1] Group 2: Data Resource Utilization - Suzhou will enhance the value of data elements by promoting the open sharing of public data and incentivizing enterprise data sharing, aiming to create a multi-layered data resource supply system [2] - By the end of 2026, the city plans to have over 6,000 public data open directories and develop 300 high-quality industry data sets and corpora [2] - The focus will be on building high-quality data sets in manufacturing, leveraging market application scenarios [2] Group 3: Talent Acquisition and Development - By 2026, Suzhou aims to cultivate 240 leading talents in the AI field and establish 15 various talent training platforms and bases [4] - The city will enhance mechanisms for talent introduction, training, evaluation, and incentives, promoting collaboration with top institutions to attract high-level talents [4][5] - Efforts will be made to align educational institutions with industry needs, fostering interdisciplinary training and international cooperation [5] Group 4: Core Technology Advancement - Suzhou plans to establish 5 provincial-level key laboratories in AI by 2026, focusing on foundational research in AI and supporting the development of intelligent medical devices [3] - The city aims to achieve 50 new key core technology breakthroughs and accumulate over 13,000 high-value patents in the AI sector [3] - Emphasis will be placed on encouraging enterprises to take the lead in innovation and undertake significant national and provincial projects [3] Group 5: Industry Strengthening and Innovation - Suzhou will support the cultivation of 50 intelligent native enterprises and 15 unicorn companies in the AI sector by 2026, focusing on emerging business models [6] - The city aims to develop 490 provincial-level specialized and innovative enterprises and 1,200 high-tech enterprises in AI by 2026 [6] - Efforts will be made to attract leading enterprises to Suzhou through capital investment and scenario opening, enhancing industrial clustering effects [6]

Core Viewpoint - Artificial intelligence is transforming the U.S. economy at an unprecedented pace, with a report from the Brookings Institution analyzing the capabilities of various metropolitan areas to absorb, create, and apply AI technology [1][2]. Geographic Distribution of AI - The AI industry in the U.S. is highly concentrated, with San Francisco and San Jose accounting for 13% of national AI job postings, dominating high-end talent and innovation [4]. - A total of 30 core regions, including Seattle, Boston, Austin, and Washington D.C., represent 67% of the AI job demand in the country [4]. Emerging AI Centers - There are signs of AI spreading to non-traditional tech hubs, with cities like Pittsburgh, Detroit, Madison, and Huntsville showing potential in talent and innovation [7]. - Over half of U.S. metropolitan areas remain at a low level of AI development, lacking sufficient talent pipelines and research infrastructure [7]. Three Pillars of AI Competitiveness - The report identifies three key dimensions determining regional AI competitiveness: talent, innovation, and application [8]. - Talent is reflected in the supply of computer science degrees and AI skill profiles, with 14% of AI skill profiles concentrated in the Bay Area [11]. - Innovation is measured by the number of top academic papers, AI patents, and federal funding, with San Francisco and San Jose holding 34% of AI patents [11]. - Application is assessed through the number of AI startups and their funding, with 31% of AI startups since 2014 originating from San Francisco and San Jose [11]. Dual Strategic Choices for Regions - The report emphasizes the need for a "dual strategy" to prevent AI development from being concentrated in a few areas, which could limit national innovation potential [12]. - A national AI support platform should be established, increasing non-defense AI research funding and enhancing data infrastructure [15]. - Regions should develop strategic clusters based on their strengths and weaknesses, as exemplified by Massachusetts' AI strategic working group [15]. Future Outlook - AI's potential as a "general-purpose technology" hinges on its ability to permeate various industries and regions [16]. - The future balance of the U.S. AI economy will depend on national strategies to enhance research and talent investment, as well as regional policies to promote AI applications [16].