在房地产退潮、传统基建"填坑"渐显疲态的当下，中国经济的前路是继续依赖旧引擎的惯性滑行，还是点燃新引擎的爆发式跃迁？ 近期国家披露的一组数据，揭开了答案——一场以数字技术为核心的"经济换心术"已悄然完成。 云端，40万家数据企业像无数个"数字矿工"，在千万机架的算力底座上挖掘数据价值；地面，475万个5G基站织成一张覆盖全国的"神经网"，让智能工厂的 传感器、无人港口的吊车、矿山里的挖掘机实现实时互联。 2024年的数据更具说服力：数字经济核心产业增加值占GDP的10.4%，成为继房地产、基建后的第三大支柱；算力规模全球第二，大模型数量全球第一，中 国在数字技术领域从"跟跑者"跃升为"并跑者"。 房地产黄金时代的谢幕 如果把中国经济比作一辆高速行驶的列车，过去三十年的动力源是"土地+人口"的双轮驱动：房地产吸纳天量资金，基建投资拉动上下游产业链，人口红利 提供廉价劳动力。 但如今，土地成本飙升、人口结构老龄化、传统基建饱和，这辆列车的"旧发动机"开始喘息。 国家此时亮出"十四五"成绩单，实则是为新引擎——数字经济，举行一场"交付仪式"，而这硬核程度，远超想象。 但国家的野心不止于此。"十五五"规划中，"人工智 ...

京津冀、长三角、粤港澳大湾区动能更强劲，2024年三地经济体量占全国40%以上；东北地区战略支撑更牢靠，去年粮食产量占全国 25.3%；"西电东送"输电能力超过3亿千瓦，"东数西算"八大枢纽节点算力规模约占全国70%……"十四五"期间，我国山海协同、陆海联动，以 系统性思维下好区域协调发展"一盘棋"，让每一寸热土澎湃高质量发展动能。 跟随这组海报，一起领略区域协调发展激发新动能、万里山河蓬勃新活力的壮美画卷。 凯华社 长三角构建高质量发展强劲增长极 in 11 12 11 12 1 - TIME · 京津冀地区实现市市通高铁 实现核心区1小时通勤圈和相邻城市之间1.5小时交通圈 · 北京输出至津冀的技术合同成交额累计达2308.7亿元 · 三地共同绘制了新能源汽车、机器人等6条重点产业链图谱 THE BEFFE · 地区生产总值突破33万亿元、占全国总量约1/4 · 集成电路、生物医药、人工智能产业规模分别占到全国 3/5、1/3、173 即华丽 RA TO D 大湾区规则衔接机制对接待续深化 · 研发经费投入占GDP比重达3.34% 超过全国平均水平近0.7个百分点 · 2024年长三角数据产业规模占全国的 ...

Group 1 - The core viewpoint of the articles emphasizes the importance of accelerating the market-oriented allocation of data elements to promote high-quality development of the digital economy in Binzhou, Shandong Province [1][2][3] - The initiative includes six key areas and 20 specific measures aimed at integrating the digital economy with the real economy, focusing on traditional industries like high-end aluminum and fine chemicals, and fostering new industries through data empowerment and industrial intelligence transformation [1][2] - The goal is to achieve an annual growth rate of over 20% in the data industry and to cultivate 200 key digital economy enterprises, highlighting the focus on artificial intelligence, data industry, and low-altitude economy [1][2] Group 2 - A comprehensive system covering six key areas is being formed, including element activation, industrial upgrading, transformation empowerment, collaborative development, infrastructure support, and implementation guarantees [2] - The strategy aims to enhance the competitiveness of core digital economy industries by promoting technological innovation, developing artificial intelligence, and fostering platform economies [2] - The plan includes a three-year effort to create a dual-driven model of "traditional industry renewal + emerging industry breakthroughs," positioning Binzhou as a leader in digital economy development at both provincial and national levels [3]

陈博彰在长沙新消费研究院调研。 陈博彰来到长郡中学调研学校发展和教育教学工作，检查督导食品安全"两个责任"落实情况。他强调，要始 终坚持教育优先发展，持续扩容优质教育资源，办好人民满意的教育。要时刻绷紧食品安全这根弦，严把采购、 运输、操作、分餐等关口，实现全链条、全流程闭环管理。要持续排查整治校园周边安全隐患，营造平安有序的 校园环境。 陈博彰来到碧湘楚巷、西文庙坪项目，调研城市有机更新与历史文化保护利用示范片区建设情况，听取居民 意见建议。他强调，要坚持规划引领，传承保护历史文化与在地文化，协调打通各方资源，引入多元新业态，推 动文商旅深度融合。要坚持以人为本，实现历史保护、功能提升和场景营造有机统一，让老街区焕发新生机，让 提质成果真正惠及原住民。 长沙新消费研究院是全国首家聚焦新消费的产业服务平台。陈博彰指出，要强化平台建设与数据支撑，深化 新消费数据资源分析运用与全周期服务，赋能新消费领域品牌孵化、投融资对接、人才集聚与产业生态构建，让 新消费成为推动全市经济增长的强大引擎。 12月6日，市委副书记、代市长陈博彰在天心区宣讲党的二十届四中全会、省委十二届九次全会精神，调研经 济社会发展情况。副市长周 ...

人民财讯12月5日电，中共湖北省委关于制定全省国民经济和社会发展第十五个五年规划的建议发布， 其中提到，推动新兴产业培育壮大。巩固提升光电子信息产业"独树一帜"领先地位，打造世界存储之 都，高质量建设"世界光谷"。着力推动集成电路、北斗、人工智能、工业母机、低空经济、新能源、新 材料、高端医疗器械、生物医药等新兴产业规模化跃升。做大做强武汉国家航天产业基地，建设航天强 省。发展壮大智能经济，加快智能网联汽车、智能手机、智能家电、智能穿戴等智能终端产业发展。强 化算力、算法、数据等高效供给，争创国家数据标注基地，推动自主安全计算产业创新发展，培育数据 产业集聚区。实施"人工智能+"行动，促进实数融合、数智融合，全方位赋能千行百业，打造全国数智 经济发展高地。 ...

Core Viewpoint - The document outlines a strategic initiative by multiple government departments to enhance the construction of data-related academic disciplines and the development of digital talent, aiming to leverage data as a new productive force in the economy [1][2]. Group 1: Data Element Discipline and Talent Development - The initiative emphasizes the importance of cultivating various talents necessary for the market-oriented allocation of data elements and the high-quality development of artificial intelligence [1]. - It identifies the integration of the education chain, talent chain, industrial chain, and innovation chain as crucial for advancing digital China, digital economy, and digital society [1]. Group 2: Optimization of Academic Programs - The proposal encourages collaboration between education and data management departments to develop relevant academic programs such as data science and digital economy [2]. - It supports vocational schools in dynamically adjusting data-related programs based on industry needs, including the addition of courses on data collection, cleaning, compliance, and operations [2]. Group 3: Industry-Education Integration - The document calls for the establishment of a coordinated system for data industry vocational education, involving government oversight, industry guidance, and enterprise participation [2]. - It promotes the creation of regional industry-education integration communities, leveraging industrial parks to foster talent development and innovation in the data sector [2].

Core Viewpoint - The article emphasizes the urgent need for talent in the data sector, highlighting a significant gap between the supply and demand for digital economy professionals, as outlined in the recent government policy aimed at enhancing data-related education and workforce development [1][3][4]. Group 1: Talent Shortage - The talent gap in China's digital economy is projected to exceed 32 million by the end of 2024, with a demand for approximately 65 million professionals against a supply of only 32.86 million [3]. - The shortage is particularly acute for high-end composite talents, with traditional low-end jobs also facing a lack of qualified candidates [3][6]. - The establishment of data science and big data technology undergraduate programs has surged, with 769 universities offering these majors by the end of 2024, marking the highest increase among new undergraduate programs from 2014 to 2023 [3]. Group 2: Policy Initiatives - The government has previously initiated several policies to address the talent shortage, including the 2015 action plan to promote big data development and the 2024 action plan for accelerating digital talent cultivation [4]. - The recent policy document emphasizes the need for a multi-layered and multi-type talent cultivation system in the data sector [4]. Group 3: Structural Gaps in Talent - There is a structural gap in the supply of high-level data professionals, with only about 40,000 graduates in data science and big data technology each year, insufficient to meet the demand [6]. - The relevance of graduates' majors to job requirements is also a concern, as many employers prioritize practical skills over specific degrees [6]. Group 4: Focus on Specialized Talent - The article suggests a need to cultivate specialized talents in data technology, data industry, and data law, forming a comprehensive talent development chain [7]. - Data technology talents should include roles such as data analysts and data architects, while data industry talents should focus on vertical applications in sectors like digital government and digital finance [7]. Group 5: Educational Adjustments - The article warns against a uniform approach to establishing data science programs, noting that many non-engineering universities are producing graduates with lower job satisfaction and relevance to their fields [9][10]. - It advocates for differentiated program offerings based on institutional strengths and local industry needs, suggesting that liberal arts colleges might focus on "data+" programs instead of traditional data science degrees [9]. Group 6: Emphasis on Vocational Education - The recent policy highlights the importance of vocational education in the data sector, proposing the establishment of a national data vocational education teaching guidance committee and industry-education integration initiatives [15][16]. - It encourages collaboration between data companies and vocational schools to create practical training environments and relevant curricula [16].

央视网消息（新闻联播）：习近平总书记指出，要"充分发挥海量数据和丰富应用场景优势，促进数字 技术和实体经济深度融合，赋能传统产业转型升级，催生新产业新业态新模式，不断做强做优做大我国 数字经济"。 "十四五"时期，我国持续推进数字基础设施建设，数字产业化规模稳步扩大，深化数字技术与实体经济 融合，产业数字化加速推进，数字经济成为推动经济高质量发展的重要支撑。 云端之上，40多万家数据企业聚力成势，千万机架筑起算力"超级底座"，超过475万个5G基站支撑起千 行百业的焕新蝶变。 工厂之中，工业机器人精准协作，两万多个"5G+工业互联网"项目全域铺开，覆盖40多个工业大类， 为"中国智造"注入强劲动能。 屏幕之间，亿万消费者指尖滑动催生出全球最大网络零售市场，应用场景加速迭代，智慧生活新潮涌 动。 "十四五"期间，产业数字化加速推进，建成万余家智能工厂，覆盖超过80%的制造业行业大类；人工智 能加速赋能千行百业，产业规模突破7000亿元。新业态、新模式层出不穷，推动经济效益显著提升。 今年以来，国家连续出台新政推动数实融合向纵深发展。加快工业5G独立专网建设和6G技术创新投 入，优化算力中心布局，支持一批工业智能 ...

启动仪式上，来自能源、生物医药、金融、交通、低空、教育等重点领域的首批高质数据集赛题正 式"发榜"，中国南方电网有限责任公司、广州国家实验室、广东省人民医院、中国平安财产保险公司、 佳都科技集团股份有限公司、广州金域医学检验集团，广东泰一高新技术发展有限公司、广东职教桥数 据科技有限公司，东莞市人工智能与数字经济有限公司、东莞市奥海科技股份有限公司等单位，发出首 批高质量数据集需求"发榜单"。 接下来，大赛将通过"1套发榜机制+3个竞赛阶段+N场供需对接会"的"1+3+N"组织体系，构建"数据供给 —技术研发—场景落地—产业升级"的完整闭环。通过以赛促用、以赛促融、以赛促产，在推动成熟数 据应用场景复制推广的同时，更好挖掘低空经济、工业互联网等新兴领域的数智潜力，充分发挥高质量 数据集的赋能作用，有效释放数据要素的宝贵价值，为全国一体化数据市场建设、数据产业生态的繁荣 发展，积极贡献"广东经验"。 12月2日，广东省首届高质量数据集创新大赛启动仪式在东莞举行。省委常委、副省长张国智，东莞市 委副书记、市长吕成蹊，省政务和数据局党组书记、局长王天广，东莞市领导黎军，以及省政务和数据 局、教育厅、科技厅、工业和信 ...

为繁荣数据领域学术研究，《意见》明确，加快数据领域学术共同体和数字人才梯队建设，推动成 立数据领域科技社团；开展高层次数字人才培养行动，做好国家重大人才工程项目在数据领域的落地衔 接；瞄准数据要素市场化配置改革重大问题，系统开展数据领域战略研究；开展科学数据资源采集生 产、加工整理和开放共享，打造一批数据资源丰富、权威性强、有国际引领力的科学数据库。 科技日报北京12月2日电 （记者刘园园）2日，由国家发展改革委、国家数据局、教育部、科技 部、中共中央组织部联合印发的《关于加强数据要素学科专业建设和数字人才队伍建设的意见》（以下 简称《意见》）公布。《意见》旨在激活数据要素赋能新质生产力的创新引擎作用，促进数据领域教育 链、人才链与产业链、创新链融合发展。 围绕促进数据领域产学研用协同，《意见》强调，强化企业在应用场景构建、技术需求识别、成果 落地实施等方面的主导作用，支持高校、研究机构、科技社团等深入场景前沿，加快培养一批复合型、 创新型、实战型数字人才；组建跨学科、交叉型研究团队，加快数据领域关键共性技术、前沿引领技 术、现代工程技术、颠覆性技术研发，产出高质量研究成果。 《意见》明确，以国家战略为牵引， ...