陈永伟 2月5日，美团在香港联交所发布公告，宣布将以约7.17亿美元的初始对价，收购叮咚买菜中国业务 100%股权。交割完成后，叮咚买菜将成为美团的间接全资附属公司，其财务业绩将并入美团报表。对 于熟悉"生鲜大战"的人来说，这一结局并不意外，却颇具象征意义。 回头看即时零售这条赛道，会发现它的发展轨迹并不复杂：从外卖构建城市级配送网络，到前置仓探索 履约效率的极限，再到平台整合各类供给节点，行业表面上经历了多轮模式更替，但底层逻辑始终未变 ——围绕城市内部的订单密度展开。当电商已经将价格和品类推向极致，零售竞争的核心变量，正在不 可避免地转向时间。 几年前，前置仓曾是最炙手可热的创业赛道之一。成立于2017年的叮咚买菜，一度是这一赛道的头部代 表。凭借成千上万个小型仓库网络，以及"最快29分钟送达"的承诺，叮咚买菜在2021年上市前曾接近90 亿美元市值。然而短短几年后，前置仓模式迅速退潮，代表企业要么出局，要么收缩，行业整体降温。 正是在这一背景下，美团选择出手，将叮咚买菜纳入自己的即时零售版图。这并非一桩单纯的并购事 件，而更像是行业进入整合阶段的信号：创业者探索出的多种模式，正在被平台吸收，逐渐融入城市 ...

每经记者｜孙磊 每经编辑｜裴健如 日前，有消息称，理想汽车将在2026年春节后推行"门店合伙人"计划，以提升门店运营效率和市场响应速度。对此，《每日经济新 闻》记者从理想汽车方面确认了该消息的真实性。 据《每日经济新闻》记者了解，在"门店合伙人"计划中，理想汽车将给予店长更大的经营决策权，并优化门店考核机制，将评价标准 从单一的销量考核升级为涵盖销量、利润和用户满意度等多个维度的综合评价体系。 视觉中国图 除此之外，记者从理想汽车方面了解到，其在后续会关闭一些能效低、扩张期铺开的门店，目前还处于评估阶段。 北方工业大学汽车产业创新研究中心主任纪雪洪告诉《每日经济新闻》记者，当汽车品牌进驻商超成为一种潮流，商超租金自然会上 升，从而推高车企或经销商的运营成本。另外，在总体客流量基本稳定的情况下，随着竞争对手增多，各品牌的转化效率往往会出现 下降。从成本角度进行综合评估，若某些商超门店出现较为明显的亏损状况，则退出商超就会成为必选项。 从上述车企的渠道调整来看，成本压力是新势力企业进行调整的核心要素。为降低运营成本，新势力品牌在渠道模式上的另一重要调 整是从直营模式转向代理制或经销商模式。 以小鹏汽车"木星计划" ...

日前，有消息称，理想汽车将在2026年春节后推行"门店合伙人"计划，以提升门店运营效率和市场响应 速度。对此，《每日经济新闻》记者从理想汽车方面确认了该消息的真实性。 据了解，在"门店合伙人"计划中，理想汽车将给予店长更大的经营决策权，并优化门店考核机制，将评 价标准从单一的销量考核升级为涵盖销量、利润和用户满意度等多个维度的综合评价体系。 除此之外，记者从理想汽车方面了解到，其在后续会关闭一些能效低、扩张期铺开的门店，目前还处于 评估阶段。 保时捷中国总裁及CEO潘励驰此前表示，动态调整渠道网络，是持续变化的市场对车企提出的要求。就 目前来看，除理想汽车外，不少汽车品牌都在根据新的市场风向校准航向，无论是"瘦身"转型还是扩 张，汽车销售渠道的洗牌和重构正在发生。 新势力车企对渠道进行收缩调整 事实上，特斯拉、小鹏汽车、蔚来等新势力品牌也在持续优化渠道布局，关闭部分能效低下的门店。 例如，小鹏汽车早在2023年便启动"木星计划"，关闭经营不善、效率低下的直营门店；蔚来亦在全国多 地优化牛屋布局；特斯拉也曾关闭过不少门店。 有分析认为，企业在扩张期为了快速占领市场可能会大量开设门店，但部分门店因选址不当、市场饱 ...

Core Insights - The report reveals that private wealth investors in Hong Kong are more actively seeking alternative investment allocations compared to their counterparts in Singapore [1] - There is a shift towards personalized wealth strategies that align with life goals and planning, balancing returns, liquidity, wealth transfer, and personal values [1] Group 1: Investment Trends - 47% of investors in both regions plan to allocate to private equity, with significant interest in structured products (42%), tangible assets (41%), and private credit (40%), indicating that alternative investments have become a core part of modern portfolios [1] - In Hong Kong, nearly half (42%) of professional investors have incorporated alternative investments into their overall wealth strategy, showing a higher adoption rate compared to Singapore [1] Group 2: Investor Behavior - 60% of investors are seeking more diversified income sources, particularly among middle-aged individuals preparing for retirement [1] - 40% of private wealth investors list inheritance and estate planning as a primary goal, reflecting a shift from mere wealth accumulation to personalized wealth strategies that align with life objectives [1] Group 3: Advisory Services - 70% of private wealth investors adjust their investment portfolios at least once a quarter, indicating a demand for more professional and personalized advisory services despite the availability of online self-service options [2] - There is a rising demand for a "hybrid model" that combines seamless digital experiences with personalized professional advice, especially crucial for navigating complex alternative investments and market volatility [2]

Core Insights - The AI talent war is creating an unprecedented crisis in academia, as PhD students are lured away by lucrative salaries in the tech industry, leading to concerns about the future of academic research and teaching [1][23][25] Salary Disparity - PhD students in academia, such as those at Harvard, receive monthly stipends of only $4,205, translating to approximately $50,000 annually, while AI companies in Silicon Valley offer starting salaries that can reach $1 million [2][23] - Carnegie Mellon University raised its minimum stipend from $27,000 to $30,000, but this increase remains uncompetitive compared to industry salaries [2][23] Industry Competition - Major tech companies are aggressively recruiting top talent, with reports of Meta offering $100 million signing bonuses to attract OpenAI's leading experts [4][23] - Companies are also providing substantial salary premiums, sometimes up to $200,000, for engineers with AI or machine learning experience [4][23] Computational Resource Gap - PhD students often struggle to access necessary computational resources, such as GPUs, while tech giants like Microsoft and Alphabet invest hundreds of billions in AI infrastructure [7][10] - The disparity in GPU usage between industry and academia is widening, limiting academic researchers' ability to participate in cutting-edge model development [8][10] Talent Drain - PhD students are crucial to the academic ecosystem, serving as primary researchers and teaching assistants, but their migration to industry threatens the sustainability of academic programs [11][23] - Concerns are growing that if PhD students leave academia prematurely, it could lead to a significant decline in the number of future independent scholars [11][23] Hybrid Models - Some companies, like Meta, are offering hybrid roles where PhD students can work in industry while pursuing their degrees, creating a potential compromise between academia and industry [17][21] - This model is gaining traction, but some institutions, such as Stanford, remain cautious about the implications of dual commitments [21][23] Academic Anxiety - Professors are increasingly worried about the retention of PhD students, with many feeling pressure to ensure that their students do not leave for higher-paying industry jobs [22][23] - The uncertainty surrounding funding and the stability of PhD programs is exacerbating these concerns, as fluctuating federal research funding leads to reduced PhD admissions [14][23]