Core Viewpoint - The headhunting industry is experiencing a significant downturn, with a 30% market shrinkage and a loss of 18 billion in total scale from 2022 to 2023, leading to a survival pressure test for 400,000 practitioners [11][13]. Group 1: Industry Challenges - The headhunting industry is facing a "once-in-20-years winter," with many practitioners leaving the field due to increased competition and reduced demand [5][9]. - The market for talent acquisition services has drastically changed, with companies becoming more selective and often preferring to hire internally or through free online platforms [9][11]. - The average commission rates for headhunters have dropped from 20% to as low as 15%, and many are now paid per candidate rather than per successful placement [13][20]. Group 2: Shifts in Recruitment Dynamics - Companies are increasingly looking for candidates with specific local qualifications, leading to frustrations among headhunters who struggle to meet these demands [9][13]. - The recruitment process has become more complex, with companies often posting "pseudo-requirements" to test the market without genuine hiring intentions [9][13]. - The traditional role of headhunters as mere resume movers is evolving into a more strategic partnership, where they must offer additional services beyond recruitment [20][21]. Group 3: Adaptation and Transformation - Successful headhunters are adapting by diversifying their services, such as offering training, legal consulting, and employee benefits, to maintain client relationships [20][21]. - The industry is witnessing a shift towards a model where headhunters must possess deep industry knowledge and storytelling abilities to attract top talent [18][23]. - Companies that embrace change and offer comprehensive career planning and consulting services are seeing growth even in a challenging environment [24][25].

海景 17万+ T 2 7 投资价值企业 0 投资机构 及上市公司 50 Ft 国家高新 八时一手资讯 技术企业 C C F F + 线 0 | 可 + 创投人物 投融资及收并购事件 热门产业 A 创新机会 "三 谱 2万+LP数据 I 全牛命周期 10万+基金数据 独角兽企业 各维度权威榜单 1万+专精特新小巨人 4 4 00 ERE 十子标签 产业图谱 行业标签 发 发 发 规模预计突破1.2万亿元。目前人工智能应用已覆盖钢铁、有色、电力、通信等重点行业，逐渐深入 到产品研发、质量检测、客户服务等重点环节。（环球网） 更多智能制造产业资讯 …… 扫码可订阅产业日报 欢迎加入 睿兽分析会员 ，解锁 AI、汽车、智能制造 等相关 行业日报、图谱和报告 等。 载 作者 FED 15 会提问的人将始终领先一步 1.【红旗全固态电池首台样车成功下线】据"吉林发布"消息，近日，中国一汽自主研发的红旗全固态 电池首台样车成功下线，标志着中国一汽在全固态电池技术领域正式迈入实车测试阶段。该试制项目 历经470天集中攻关，在硫化物电解质、10Ah电芯性能、60Ah电芯工艺等关键环节取得一系列阶段 性突破。本次实现上车验证的 ...

近年来，在技术竞赛与地缘政治的交织影响下，半导体行业迎来了前所未有的热度，成为整个科技产 业的焦点。然而热潮之下是产业固有的冰冷现实：投资巨大、风险高企、回报周期漫长。这不仅是对 创业者九死一生的考验，更是对投资机构耐心、远见与综合实力的终极试炼。 当众多资本还在为是否要踏入这条"长征路"而犹豫时，什么样的投资人才能真正陪伴半导体企业穿越 周期，从一颗"昂贵的沙子"成长为构建算力基石的关键芯片？和利资本创始管理合伙人孔令国来到第 18届创业邦年会暨创业邦100未来独角兽大会给出了自己的答案 。 他深 耕投资近三十年，先是投出 寒武纪，再投出了沐曦。2025年12月沐曦上市，市值一度突破3000亿， 让 孔令国与和利资本的回 报倍数达45倍。 在孔令国看来，半导体投资是一场超越了财务模型和技术信仰的"产业信仰"。对于身处其中的创业者 而言，寻找到真正"懂你"并愿意"雪中送炭"的长期伙伴，远比单纯获得资金更为重要。 以下是孔令国在本次大会上的演讲实录，由创业邦整理。 一颗芯片的诞生 是一场以年为单位的马拉松 在演讲开始之前，请允许我对自己和所在的机构进行大致的介绍。我是和利资本创始管理合伙人， 2001年来到中国 ...

以下文章来源于豹变 ，作者张经纬 豹变 . 直抵核心。做最具穿透力、洞察力的商业观察，深度影响未来。 来源丨 豹变（ID：baobiannews） 作者丨 张经纬 编辑丨 邢昀 图源丨Midjourney 米哈游还有两个投资项目已经在 IPO的路上：经营卡牌潮玩的Suplay和虚拟社交APP Soul，米哈游 分别是他们的A+轮/D轮投资人。 股票市场之外， 米哈游 对外披露的投资有 30余次，投资领域横跨AI、具身智能 ， 甚至商业航天。 如此大规模的投资，米哈游背后的考虑是什么？除了已经走入 IPO的项目，还有哪些投中的项目在资 本市场蓄势待发呢？ "游戏金币"狂散泛科技领域 成立于 2011年的米哈游，由三个毕业于上海交大的同学一手组建。先有《崩坏》系列积累口碑， 2020年又凭借现象级游戏《原神》破圈，米哈游构筑了庞大的二次元游戏帝国。 庞大的用户充值为其带来了惊人的现金流，也驱动 米哈游 将视野投向更广阔的 领域 。 从广度来看， 米哈游的投资几乎是一份 "未来科技兴趣清单"。泛二次元娱乐和社交场景中，米哈游 是卡牌潮玩企业Suplay A+轮融资的主要投资者和最大的外部股东，持有公司11.86% ...

Group 1 - Taobao and Tmall will launch a special governance initiative for AI-generated fake images in after-sales service, introducing a recognition model and a one-click feedback feature [2] - The initiative will also create a one-stop AI service center, upgrading tools such as Xiaomimi 5.0 and AI after-sales assistants, integrating user consumption behavior and preferences into various service stages [2] Group 2 - The Hugging Face community reported that the download count for Alibaba's Qianwen series models has surpassed 1 billion, with an average of 1.1 million downloads per day, making it the first open-source large model to achieve this milestone [2] - The Qianwen series has over 200,000 derivative models, solidifying its position as the leading open-source large model globally [2] Group 3 - Zhipu announced a temporary limit on the sale of its GLM Coding Plan due to a surge in user numbers and resource constraints, reducing the daily sales volume to 20% of the current level [3] - This limitation aims to alleviate issues such as throttling and slow model speeds experienced by users during peak hours [3] Group 4 - Shandong Port unveiled the first AI chip for ports in the country, named "ShanGang ZhiXin·XingYu SA5200," which features advantages such as multi-source perception integration and enhanced compression efficiency [4] - The chip is designed to operate efficiently in complex port environments and supports domestic algorithms, significantly improving overall energy efficiency [4]

以下文章来源于远川科技评论 ，作者何律衡 远川科技评论 . 刻画这个时代（的前沿科技） 来源丨 远川科技评论 （ ID： kechuangych 4 ） 作者丨 何律衡 图源丨Midjourney 台积电财报发布，给人工智能行业送来了含金量最足的一次背书。 2025年四季度财报，台积电多项指标大超预期，营收连续八季度同比增长，视产业周期如无物；毛 利率超过60%直逼软件巨头，让制造业同行侧目，三星见了咬碎了牙，特斯拉听了羡慕嫉妒恨。 令投资机构振奋的还是资本开支。台积电给出了2026年资本开支520亿到560亿美元的指引，相比 2025年全年的409亿美元大幅上涨，给产业送了颗定心丸。 作为芯片代工厂，台积电的资本开支主要用来建设产线、购买设备。产能建设一般需要2-3年才能投 产，因此台积电的资本开支水位，基本代表了英伟达、AMD等芯片设计公司的未来订单增长。 加上台积电虽然身处高科技行业，但在经营上是个比较保守的公司，在2025年资本开支大涨35%的 情况下，台积电又给出了"未来三年资本开支显著增加"的信号，自然让华尔街心花怒放。 财报会结束，不仅台积电自家股价刷新历史新高，连带着泛林、应用材料等各大关联单 ...

Group 1 - Xibei Restaurant Group completed a new round of financing, with new shareholders including Zhang Yong, founder of Xinrongji, and Hu Xiaoming, former CEO of Ant Group [2] - The financing round saw shareholding proportions of 4.4209%, 4.4209%, 2.2104%, 0.4421%, and 0.0884% for new investors [2] Group 2 - Apple's first foldable phone, iPhone Fold, is expected to be released in September, featuring a wide aspect ratio and dual screens [3] - The design of the iPhone Fold continues the style of the iPhone 17 Pro series [3] Group 3 - Baidu's Wenxin App is set to introduce a social interaction feature with "multi-agent group chat" capabilities, currently in internal testing [5] - Taobao and Tmall will launch an AI-based initiative to combat fake images in after-sales service this year [5] Group 4 - The AI model series "Qianwen" from Alibaba has surpassed 1 billion downloads, becoming the first open-source large model to achieve this milestone [8] - The average daily downloads of the Qianwen series models are 1.1 million [8] Group 5 - Chang'an Ford's annual sales in China fell below 100,000 units for the first time, with wholesale sales of 121,500 units and retail sales of 99,400 units in 2025 [16] - This marks a significant decline from 247,000 units sold in 2024 [16] Group 6 - OpenAI announced plans to expand its AI infrastructure in the U.S. to 10 GW by 2029, with several sites already in development [15] - The company will cover energy costs to ensure the project does not increase electricity prices [15] Group 7 - SWISSto12 has raised over €100 million for its new satellite project, with €73 million coming from the European Space Agency [17] - The funding will support the development and industrialization of the new "Hummingbird Satellite" platform [17] Group 8 - Energy Fuels announced a $299 million acquisition of Australian Strategic Materials, valuing the company at this amount [18] - This acquisition is part of Energy Fuels' strategy to expand its operations in the rare earth sector [18]

以下文章来源于李东阳朋友圈 ，作者李东阳 李东阳朋友圈 . 李东阳，500万粉丝营销博主、《首席营销官》主理人。聊营销、说品牌，欢迎志同道合的朋友围观。 永远思考，永远保持怀疑。+V：ldy8963 一起探讨商业，挖掘营销底层逻辑。 来源丨 李东阳朋友圈 （ID： LDYMarketing ） 作者丨 李东阳 一场关于真诚的自我救赎 互联网的记忆向来短暂，但对"失败者"的标签却格外执着。 李亚鹏正在经历一场神奇的口碑翻身。 过往提到他，人们的第一印象——这是个集失败于一身的男人，褪去演员身份闪转腾挪到商海并不顺 遂，干一行黄一行，直播带货满屏嘲讽声，舆论场飘过他最多的新闻是巨额欠债、卖资产还钱。 他曾经还拿着块石头，号称价值3个亿，是人间罕见的珍宝，但网友们一致认为这哥们是商界难得一 遇的奇葩。 转机出现在不经意间，近日李亚鹏创办的嫣然天使医院，因为拖欠了两千多万房租，被房东告了，眼 瞅着就要破产。 于是李亚鹏拍了条长视频，恳切的讲述着这家医院和过往的种种，很多人是含着泪看完的，顺手还往 里捐了款，并且重新认识了李亚鹏。 当全网都在喊着"欠李亚鹏一个道歉"时，我们更该追问：这个被群嘲"情怀大于能力 "的中年男 ...

以下文章来源于汽车辣评CSR ，作者汽车辣评 汽车辣评CSR . 汽车辣评 来源丨汽车辣评CSR（ gh_2b8f20ca65e4 ） 图源丨Midjourney 你们知道吗？ Minimax上市首日股价涨超80%，市值破900亿港元。但更有意思的是，这个创始人 闫俊杰和地平线创始人余凯，其实有个不为人知的关系——师生关系。 而且这段师生关系，改变了整个中国AI产业的格局。 一个故事的开始： 2014年的百度 时间回到2014年。 那时候的百度，正在做一件疯狂的事——建立国内最强的AI研究机构。负责这件事的人叫余凯。 问你们一个问题：如果你是一个博士生，你的导师不让你出国交换，你会怎么办？ 闫俊杰就遇到了这个问题。他的导师是中国视觉领域的大牛李子青，态度很坚决——不行。闫俊杰没 办法，就退而求其次，来到了百度IDL（深度学习研究院）实习。 这一来，命运就改变了。 一个实习生的奇遇 在百度IDL，闫俊杰遇到了余凯。 当时的余凯已经是百度IDL的掌门人，手里握着国内最大的GPU集群。这哥们有个独特的理念——"算 法和工程两手抓"。什么意思？就是不光要会写论文，还得会工程化，得能把技术变成真正能用的东 西。 Min ...

Core Insights - The article discusses the transformative impact of AI on various industries, emphasizing the need for sustainable business value as technology matures [5][7] - It highlights three key investment areas in AI: the native transformation of traditional software, the replacement of labor by software, and the reconstruction of value based on exclusive data [6][7] Investment Directions - Traditional software is undergoing a native transformation to incorporate AI, creating significant investment opportunities [18] - Software is increasingly replacing labor, representing a much larger market potential, as AI can perform up to 90% of core job functions [19][21] - The concept of "walled gardens" is crucial, where companies create exclusive data assets that provide competitive advantages [30][32] AI and Human Needs - AI meets the fundamental human desires of becoming wealthier and lazier, which is driving its adoption and integration into daily life [8][15] - The growth of AI applications is evident, with approximately 15% of adults globally using ChatGPT weekly, indicating a shift in user behavior [11] Product Lifecycle and Market Dynamics - Historical product cycles show that infrastructure companies pave the way for application teams to develop actual products, with AI now being the primary source of new revenue in software [9][11] - Companies that successfully integrate AI into their operations can achieve rapid revenue growth, as seen in examples like RAMP [15] Competitive Advantages - The true competitive barriers in the AI landscape are shifting towards application and data layers, as foundational AI models become increasingly standardized [18][28] - Companies that can build and maintain unique data advantages will be better positioned in the market, as seen in the legal sector with firms like Eve [21][25] Data as a Competitive Barrier - Exclusive data assets create significant competitive advantages, as demonstrated by companies like Flight Aware and Ancestry.com, which leverage unique datasets to enhance their offerings [33][35] - The transformation of public data into proprietary assets through AI can exponentially increase value, as companies learn to monetize previously free resources [39][40]