大学 生学术 研究丨 洞察报告 报告由微软OfficePLUS 和艾瑞咨询联合发布 核心摘要： 学术态度： 超四成大学生计划毕业后继续深造，怀有学术热情的他们，堪称学术卷王，92.2%追求学术进步，超半数利 用晚上时间撰写论文。 学术工具： 积极的学术实践当中，大学生们善用工具为自己提效，论文人开启"赛博外挂"。他们超半数面临着查重焦 虑，普遍为单篇论文辗转多个查重工具。 查重体验： "我的心中只有学习" 大学生们遇过查重结果"打架"，也苦于查重费用过高，精打细算但还是得为查重掏钱。从被查重率支配的恐 惧，到享受思想碰撞的快乐，查重工具是大学生的论文"搭子"，也是他们学术进步的见证。 学术诚信进入公众视野，论文查重引发热议 专业课和毕业论文是学业重心：分别有 69.3% 和 64.0% 的大学生认为，学习专业课程和完成毕业 论文是大学阶段最重要的事情之一。 学术诚信话题频繁进入公众视野，高校学位论文审核日趋严格。"论文"和"查重"相关话题在部分社 媒平台已达数十亿级浏览、千万级讨论。 大学生人均"学术卷王" 92.2% 对自己有学术 " KPI" ， 33.8% 追求学术创新； 41% 毕业首选学术深造，以个 ...

出品｜虎嗅智库 作者｜于向南 头图丨视觉中国 1981年秋，当设计师Anne Marie Beretta在米兰工作室铺开那张长1.8米的羊绒胚布时，她或许未曾料到，这场关 于剪裁的"减法实验"将撼动整个时尚史——没有繁复装饰，仅凭利落的直线条与和服式衣袖，Max Mara 101801 大衣就此诞生，并在此后的四十年间，成为全球衣橱里永不过时的单品。 这种包容性极强的经典风格，吸引了全球各年龄层的现代女性，也一定程度决定了Max Mara在国际上均衡布局 的风格。截至2024年，Max Mara集团在全球69个国家拥有502家自营门店，集团整体覆盖105个国家，拥有超过 2500家单品牌店和超过10000家多品牌零售点。 同时，Max Mara重点发展中国、欧洲、北美等核心区域，持续开设门店并深化品牌渗透。2024年，Max Mara在 北京三里屯太古里、上海兴业太古汇和前滩太古里等一线城市核心商圈开设新形象的概念店，目前拥有约70余 家门店。 在奢侈品消费普遍低迷的当下市场环境中，这种激进的扩张策略，无疑与行业整体收缩的态势形成了鲜明反 差。贝恩数据显示，2024年，受消费者信心不足、消费外流加剧等因素的影 ...

Core Insights - Zhihu reported a total revenue of 730 million RMB for Q1 2025, a year-on-year decline of 24% [1] - Gross margin improved to 61.8%, up 5.2 percentage points from 56.6% in the same period last year [1] - Net loss narrowed to 10.1 million RMB, a 93.9% decrease year-on-year [1] - Non-GAAP adjusted net profit reached 6.9 million RMB, a significant turnaround from a net loss of 136 million RMB in the previous year [1] Financial Performance - The company achieved Non-GAAP profitability for the second consecutive quarter, indicating a strategic shift towards more sustainable financial practices [1][3] - The focus on high-value users has led to reduced marketing expenses and improved retention rates, contributing to a more sustainable profit structure [3] User Strategy and Market Position - The company is shifting its user strategy to focus on high-quality users, which is expected to enhance monetization opportunities, particularly in advertising [6][10] - Zhihu aims to differentiate itself from competitors like Bilibili and Douyin by concentrating on niche, professional interest content rather than general entertainment [7] AI and Content Quality - The integration of AI in content generation is seen as a challenge, but Zhihu's model encourages users to maintain high-quality standards due to the real-name verification system [2][4] - The platform is positioned to become a leading professional social space in China, akin to LinkedIn, by helping users establish their professional credibility [2][4] Advertising and Monetization - The company acknowledges past structural issues in advertising monetization and aims to attract influential brands to improve ad revenue [5][6] - Future revenue growth is expected to come from targeted high-value advertising rather than direct content purchases from high-quality users [6][10] Competitive Landscape - Despite increasing competition in the knowledge-sharing space, Zhihu's focus on deep content and professional user engagement is viewed as a competitive advantage [7] - The operational team’s expertise in various fields allows for better content curation and differentiation from other platforms that prioritize click-through rates [7] Future Directions - Zhihu plans to explore online education opportunities in emerging fields, such as AI programming, to cater to its high-quality user base [8] - The company is committed to enhancing its public professional identity features to further solidify its position in the professional social networking space [4][9]

Core Viewpoint - Oracle's stock surged nearly 24% this week, marking its best weekly performance since the 2001 internet bubble, driven by strong earnings and optimistic future expectations for its cloud computing business [1] Financial Performance - Oracle's quarterly earnings report exceeded market expectations for both revenue and earnings per share, with CEO Safra Catz projecting total revenue for the new fiscal year to exceed $67 billion, significantly higher than the market average expectation of $65.18 billion [1] Market Position and Demand - The company is experiencing a demand that far exceeds its supply capabilities, as noted by Argus Research analyst Joseph Bonner, who recommended buying Oracle stock and raised the target price from $200 to $235 [1][2] - Oracle has rapidly attracted a significant number of enterprises with high AI computing demands, including Meta, OpenAI, and Musk's xAI, which are heavily reliant on NVIDIA GPUs for training generative AI models [2] Infrastructure Investment - To catch up with industry giants like Amazon AWS, Google Cloud, and Microsoft Azure, Oracle is accelerating its infrastructure investments, with capital expenditures exceeding $21 billion for fiscal year 2025, surpassing the total investment from 2019 to 2024 [2] - The company expects capital expenditures to increase to $25 billion in fiscal year 2026, while competitors like Google and Microsoft are targeting $75 billion and $80 billion, respectively, for their capital expenditures this year [2] Stock Performance - Year-to-date, Oracle's stock has risen 29%, significantly outperforming the Nasdaq index, which has seen less than a 1% increase during the same period [3]

在工业现场，除了靠螺丝刀和扳手解决运维故障，是否还有其他可选方案？有没有一种设备，在多角度 显示现场画面的同时，还能使现场工作人员与远程专家沟通？面对这一难题，瑞欧威尔（上海）智能科 技有限公司（以下简称"瑞欧威尔"）交出了让市场满意的答卷——头戴计算机产品。 近日，瑞欧威尔CEO李波在接受上海证券报记者专访时介绍，该产品以AR+生成式AI等技术捕获数 据，帮助企业人员安全、高效、智能地完成工作，让工业领域一线作业人员解放双手，重塑工业作业模 式。 从工程师到企业创始人 "在正确的时间，和正确的人做正确的事"，这是李波对人生前半程的总结。 过去，工业数字化改造多集中在后端平台，一线作业人员的数字化体验相对滞后。工业领域"最后一公 里"检修难题迟迟未被解决。 试想一下传统的作业场景：一位经验丰富的老师傅在工厂车间检修设备，拍照并将相关情况记录在纸质 本上。由于检测环境操作风险难控，为方便动手检修，师傅们通常不会携带电脑。待他们离开一线高危 场景后，才能将详细的故障情况传输到线上系统。 针对以上流程繁琐的痛点，瑞欧威尔推出的头戴计算机产品给出了解决方案。工人无须放下工具，便可 以该设备实时记录现场情况，甚至能联系 ...

题图｜视觉中国 正当技术圈为AI的日益普及和自主而兴奋不已的时候，企业CEO们在为推动技术规模化发展而感到 纠结，以大模型为代表的生成式AI落地应用依然比想象中困难得多。 埃森哲报告显示，2024年，全球范围内有36%的企业成功实现了生成式AI技术的大规模应用。此 外，技术规模化应用过程还面临一个更为普遍的挑战——很多企业CEO还没把成本和收益的账算明 白。过去一年，仅有13%的全球企业实现了可量化的财务回报。 不难看出，CEO们一方面担心不及时应用大模型技术会在竞争中落后，却又不知道如何让其对业务 和管理产生正向价值。规模化应用和价值实现之间依然存在不小的差距。 企业落地AI不是讲故事 随着大模型能力的提升，探索生成式AI的落地应用成为了企业共识，而丰富的数字化场景、对数据 的重视，企业对技术的拥抱度以及多样的用例显示了中国市场的特色。埃森哲调研显示，受访中国企 业高管普遍认为，企业组织内生成式AI的发展速度比预期的要快。 埃森哲大中华区技术服务事业部总裁俞毅注意到，在一些知识密集型行业例如医药，企业不只是进行 浅显的应用，更是在药物研发和知识管理等领域运用人工智能，而这些人工智能技术"不是简单的搜 索，准 ...

题图｜视觉中国 正当技术圈为AI的日益普及和自主而兴奋不已的时候，企业CEO们在为推动技术规模化发展而感到 纠结，以大模型为代表的生成式AI落地应用依然比想象中困难得多。 埃森哲报告显示，2024年，全球范围内有36%的企业成功实现了生成式AI技术的大规模应用。此 外，技术规模化应用过程还面临一个更为普遍的挑战——很多企业CEO还没把成本和收益的账算明 白。过去一年，仅有13%的全球企业实现了可量化的财务回报。 不难看出，CEO们一方面担心不及时应用大模型技术会在竞争中落后，却又不知道如何让其对业务 和管理产生正向价值。规模化应用和价值实现之间依然存在不小的差距。 企业落地AI不是讲故事 随着大模型能力的提升，探索生成式AI的落地应用成为了企业共识，而丰富的数字化场景、对数据 的重视，企业对技术的拥抱度以及多样的用例显示了中国市场的特色。埃森哲调研显示，受访中国企 业高管普遍认为，企业组织内生成式AI的发展速度比预期的要快。 埃森哲大中华区技术服务事业部总裁俞毅注意到，在一些知识密集型行业例如医药，企业不只是进行 浅显的应用，更是在药物研发和知识管理等领域运用人工智能，而这些人工智能技术"不是简单的搜 索，准 ...

手机银行APP丨监测报告 核心摘要： 在金融科技蓬勃发展以及数字化浪潮席卷各行各业的当下，手机银行 APP已然成为商业银行拓展服务边 界、优化用户体验、增强市场竞争力的关键阵地。随着技术的迭代与用户行为的深度变迁，银行业从早期的 渠道迁移迈入智能化、场景化、普惠化的新阶段。AI技术的深度融合、精细化运营策略的落地以及用户需求 的多元化，正重塑手机银行APP的市场格局与价值内涵。 艾瑞咨询金融研究院持续追踪中国手机银行 APP的发展动态，并 在此背景下 发布《 202 5 年 Q1 中国手 机银行 APP 流量 监测报告》。 我国手机银行APP活跃用户规模超7亿 在2020年新冠疫情的特殊背景下，用户对非接触式金融服务的需求急剧增加，客观上进一步加速了 商业银行业务向APP的迁移，使手机银行APP市场的发展进程显著加快，提前迈入了存量成熟阶 段。根据艾瑞监测数据，2023年至2025年间，中国手机银行APP整体流量平稳波动，用户规模基本 保持稳定状态，峰值达到7.13亿。 技术发展驱动银行业"AI+"进程加快 生成式AI对银行业的影响可达3400亿美元 2025年一季度，随着DeepSeek等生成式AI技术的爆 ...

Core Viewpoint - The Hong Kong Securities and Futures Commission (SFC) is actively working to enhance the competitiveness of Hong Kong's capital markets by integrating the Renminbi counter into the Southbound Trading scheme and optimizing the listing process for companies, particularly those from mainland China [1][2] Group 1: Market Resilience and Regulatory Framework - The SFC emphasizes the need for a flexible yet robust regulatory approach to ensure market resilience amid capital market volatility [2] - The SFC has maintained a strong regulatory framework that has effectively managed systemic risks and monitored market conditions, including conducting stress tests on exchanges and intermediaries [2][3] Group 2: Growth Strategies - The SFC's strategy includes strengthening Hong Kong's position as a premier financing and asset management center, with recent successful H-share listings, such as CATL raising $5.3 billion [3] - The SFC aims to deepen the integration of mainland and Hong Kong markets, expanding the scope of mutual market access to include more products like ETFs and derivatives [3][4] Group 3: Innovation and Technology - The SFC is focusing on fostering a robust virtual asset ecosystem, supporting the listing of virtual asset ETFs, and exploring blockchain technology for securities tokenization [4][5] - New initiatives like the "Tech Company Fast Track" aim to facilitate the listing of tech and biotech firms in Hong Kong, aligning with national goals for technological self-reliance [5]

Core Viewpoint - The Hong Kong Securities and Futures Commission (SFC) is adopting a strategy of "one shield and three arrows" to navigate the challenges and opportunities arising from global changes, including geopolitical complexities and US-China competition [1][3]. Group 1: Market Resilience - The SFC emphasizes the importance of a resilient market in the face of capital market volatility, which has become the new norm [3]. - The recent increase in US tariffs led to significant market declines, with the Hang Seng Index experiencing its largest single-day drop in nearly 30 years, yet the Hong Kong market demonstrated resilience through effective regulatory frameworks and risk management measures [4]. - The SFC has been closely monitoring market conditions and conducting stress tests on exchanges and intermediaries to assess risk management capabilities [4]. Group 2: Seizing Opportunities - Hong Kong is positioned as the third-largest international financial center, relying on proactive strategies to capitalize on emerging opportunities [6]. - In May, international funds significantly flowed back into A-shares and Hong Kong stocks, indicating a potential restructuring of global asset allocation [7]. Group 3: Three Arrows Strategy - The first arrow focuses on enhancing Hong Kong's core competitiveness as a top financing and wealth management center, with recent H-share listings, such as CATL, raising a record $5.3 billion [8]. - The second arrow aims to deepen connections between Hong Kong and both emerging and mature markets, expanding the scope of mutual access to include funds, ETFs, and derivatives [9]. - The third arrow emphasizes innovation through technology, including digitalization, blockchain, and generative AI, to maintain long-term competitiveness [11].