Financial Data and Key Metrics Changes - For fiscal year 2025, net revenue was $1.27 billion, down 3.7% year over year, but revenue for the second half of the year grew 2.5% [20][21] - Q4 net revenue was $311.2 million, representing a 4.4% year-over-year increase on an adjusted basis [21] - Adjusted EBITDA for the year was $49.1 million, or a 3.9% margin, up 170 basis points compared to fiscal year 2024 [21] - Gross margin for fiscal year 2025 was 44.4%, the highest since fiscal year 2021, driven by transportation leverage and operational efficiencies [20][21] Business Line Data and Key Metrics Changes - Both women's and men's business lines accelerated revenue growth in Q4, with men's business achieving double-digit growth [7][31] - Average order value (AOV) grew 12% year over year, marking the eighth consecutive quarter of AOV growth [6][21] - Revenue per active client increased by 3% year over year to $549, demonstrating high engagement from retained clients [23] Market Data and Key Metrics Changes - The company gained market share in the U.S. apparel market during Q4, outperforming the overall market growth [5][37] - Active clients totaled 2.3 million, down 7.9% year over year, but the year-over-year comp improved for the fifth consecutive quarter [22][23] Company Strategy and Development Direction - The company is focused on enhancing client experience through investments in generative AI and new features like AI style assistant and Stylist Connect [10][12] - Plans for fiscal year 2026 include creating more dynamic client engagement, deepening client-stylist relationships, and strengthening the product assortment [9][15] - The company aims to return to full-year revenue growth and improve active client growth rates while maintaining disciplined growth investments [15][25] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to navigate the current macro environment and seize strategic opportunities for growth [27][48] - The company anticipates total revenue for fiscal year 2026 to be between $1.28 billion and $1.33 billion, with adjusted EBITDA expected between $30 million and $45 million [25][26] - Management highlighted the importance of personalized service in gaining market share from competitors who fail to meet consumer expectations [37][47] Other Important Information - The company achieved its highest contribution margin in the last decade and completed the year with positive free cash flow and no debt [9][21] - The company has added over 50 new brands since the start of fiscal year 2025, enhancing its product assortment [15] Q&A Session Summary Question: Where is the most growth coming from, and how are tariffs impacting AOV? - Management noted that growth is driven by both women's and men's business lines, particularly in non-apparel categories and established brands, with no impact from tariffs on AOV [31][33] Question: How is the company planning for the holiday season? - Management emphasized a focus on flexibility and improved assortment to drive promotions and gifting opportunities during the holiday season [39][40]

Financial Data and Key Metrics Changes - For Fiscal Year 2025, net revenue was $1.27 billion, down 3.7% year over year, but revenue for the second half of the year grew 2.5% [19] - Q4 net revenue was $311.2 million, representing a 4.4% year-over-year increase on an adjusted basis [20] - Adjusted EBITDA for FY25 was $49.1 million, or a 3.9% margin, up 170 basis points compared to FY24 [20] - Gross margin for FY25 was 44.4%, the highest annual gross margin since FY21, driven by transportation leverage and operational efficiencies [19][20] - Active clients at the end of Q4 were 2.3 million, down 7.9% year over year [20] Business Line Data and Key Metrics Changes - Both women's and men's lines accelerated revenue growth in Q4, with men's business delivering double-digit revenue growth [6][29] - Average order value (AOV) grew 12% year over year, marking the eighth consecutive quarter of AOV growth [6][20] - The average revenue per active client increased by 3% year over year to $549, indicating higher engagement from retained clients [21] Market Data and Key Metrics Changes - The company gained market share in the U.S. apparel market during Q4, outperforming the overall market growth [5][32] - Demand for footwear in the women's business grew over 35%, with strong performance in denim and athleisure categories [29] Company Strategy and Development Direction - The company is focused on enhancing client experience through investments in generative AI and new features like AI style assistant and Stylist Connect [10][12] - Plans for FY26 include a return to full-year revenue growth and continued improvement in active client growth rates [14][24] - The company aims to deepen client-stylist relationships and strengthen its assortment by adding new brands and leveraging AI in private brand development [13][14] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in navigating the current macro environment while focusing on sustainable, profitable growth [26] - The company anticipates a challenging holiday season but believes its differentiated business model will allow it to gain market share [32][35] - Management highlighted the importance of client-centric service as a competitive advantage in the retail space [16][41] Other Important Information - The company achieved its highest contribution margin in the last decade and completed FY25 with positive free cash flow and no debt [9][20] - Advertising expenses were 9.5% of revenue in Q4, reflecting a disciplined approach to marketing investments [23] Q&A Session Summary Question: Where is the most growth coming from, and how are tariffs impacting AOV? - Management noted that both women's and men's businesses saw accelerated revenue growth, driven by expansion into non-apparel categories and established brands [28] - Tariffs did not impact the improvement in AUR or AOV, thanks to proactive measures taken by the company [30] Question: How does the company plan for the holiday season amidst a volatile outlook? - The company plans to build on last year's holiday success by enhancing flexibility in its offerings and improving its assortment [34] - Management is confident in its ability to gain market share during the holiday season due to its differentiated business model [35]

HOME 窦德景 ◎记者 李兴彩 近日，在上证首席讲坛第二十三期节目上，复旦大学计算机学院特聘教授、北电数智首席科学家窦德景 就AI大模型的突破点和未来应用场景进行了深入浅出的分享，并同期接受了上海证券报记者的专访。 作为人工智能领域的资深学者与产业实践者，窦德景深耕AI领域二十余载，既见证了行业有起有落的 发展历程，也亲身参与了从技术研发到产业落地的全链条实践。在生成式AI掀起全球变革浪潮的当 下，他以横跨产学研的独特视角，解读中国AI发展的核心逻辑与未来机遇。 AI要突破必须扎根具体场景 从学术殿堂到产业一线，窦德景的履历勾勒出一条跨领域的产业和个人成长轨迹。 1996年，窦德景从清华大学电子工程系本科毕业后，赴耶鲁大学攻读电气工程硕士学位，随后又师从世 界著名人工智能学者德鲁·麦克德莫特（Drew Mcdermott）攻读人工智能方向的博士学位。此后，窦德 景历任斯坦福大学生物医学信息研究中心客座副教授、美国俄勒冈大学计算机和信息科学系正教授，发 表超过250篇论文，谷歌学术引用量超1.3万次，成为国际AI领域的知名学者。 2010年后，随着深度学习技术的突破，AI迎来第三次高潮，窦德景选择投身产业实践 ...

智通财经APP获悉，根据瑞银最新研报，该行将生成式AI的渗透曲线与电商、智能手机两大技术浪潮并置，给出一条陡峭得惊人的轨 迹：只需三年，美国企业层面的AI采用率就能从0爬升至10%，而智能手机花了五年，电商更用了漫长的二十四年。 报告核心数据显示，AI普及率已从2025年第二季度的9.2%提升至第三季度的9.7%，并预期年底突破10%关键阈值——这一速度远超智 能手机(达10%耗时5年)与电子商务(耗时24年)的历史轨迹。瑞银据此断言，10%的心理关口将在年内被正式突破，标志行业由"早期尝 鲜"迈向"指数扩散"的第二篇章。 图1 为了验证这一拐点判断，策略师们把智能手机2005—2015年的渗透率复刻到同一坐标系：五年前10%的基底期后，生态裂变——应用 商店、大屏化、安卓低价机——把渗透率五年间猛推至68%，完成"S曲线"最陡峭的中段。 图2 瑞银认为，生成式AI正站在类似的"第五年"，触发因子换成了推理模型突破、企业级及中小企业资本开支承诺、创投资金连续五个季 度正流入。一旦三大条件同时点火，AI便有望复制手机"10%—68%"的火箭段，而电商因缺乏硬件杠杆与网络效应，曲线平缓，不足 为训。 该报告同时把 ...

Core Insights - Generative AI has nearly achieved full penetration among Chinese adults, significantly integrating into daily work and study routines [1][4] - There exists a complex mindset among the public, characterized by high expectations for technological progress alongside deep anxieties regarding employment prospects, information authenticity, and social equity [1][3] Usage Patterns - A staggering 96.2% of respondents reported having used generative AI products, with 67.7% using them daily [1][5] - The primary use cases for AI are driven by practical needs in work and education, with text processing (72%) and information retrieval (70.9%) being the most common applications [2][24] - Local AI products dominate the market, with high usage rates for domestic applications like Doubao, DeepSeek, and Tencent Yuanbao [2][15] Payment Willingness - Approximately 75% of users are either already paying (16.1%) or willing to pay for quality services (59%) [2][19] - Among paid users, 55.2% spend less than 100 RMB monthly, indicating a sensitivity to pricing [21][22] Public Sentiment - There is a notable anxiety regarding the impact of AI on career prospects, with 77% concerned about skill devaluation and 70% about job replacement [2][29] - The public sentiment towards AI is mixed, with 50.2% feeling "very excited" about its widespread application, while 46.3% express both excitement and concern [2][39] Risks and Concerns - The primary concerns regarding generative AI include the spread of misinformation (60.4%), job displacement (59.7%), and privacy breaches (46.7%) [3][46] - High-risk applications, particularly in healthcare and human resource management, raise significant public apprehension [49][50] Demographic Insights - Younger individuals exhibit higher usage rates and greater anxiety regarding AI's impact on their careers [8][30] - Higher education levels correlate with increased frequency of AI usage, with 81.8% of respondents holding a graduate degree using AI daily [11] Future Outlook - The public generally holds a cautiously optimistic view of AI's future impact, with 71.9% believing it will have a predominantly positive effect on society [42][46] - There is a strong inclination towards lifelong learning as a proactive strategy to mitigate career-related anxieties stemming from AI advancements [35][37]

35岁中年危机是一直以来的热门话题，只不过自ChatGPT发布后情况似乎变得诡异起来，也许35岁危机变成25岁危机了。 并且，这里的"25岁职业危机"不是我的观点，而是来自美国的一篇经济学研究报告： 论文地址：https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5425555 标题：Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting Data.生成式AI作为资历偏向型技术变革： 来自美国简历和招聘数据的证据 LLM是否对大龄（资历深）的员工更加友好：来自美国简历与招聘数据的证据。 从数据层面来看，该报告是非常厚重的： 1. 覆盖时间：2015～2025年； 2. 样本量：28.5万家企业 + 6200万员工 + 2.45亿条招聘信息； 因为报告是以数据结论做推导，所以作者本身并不带一丝情绪，而数据推导出来的结论是： 接下来，我们来聊聊它的几个核心点： 一、初级岗位减少 首先，论文尤为关键的数据发生于2023年Q1：采 ...

Group 1 - Alibaba's stock surged over 7% on September 24, reaching its highest level since October 2021, driven by CEO Wu Yongming's announcement regarding significant investments in AI and cloud computing [1] - Alibaba Cloud's energy consumption is projected to increase tenfold by 2032, indicating a substantial rise in computational power investment [1] - The launch of Qwen3-Max, Alibaba's largest and most capable AI model, has positioned it ahead of competitors like GPT-5-Chat in various benchmarks [1] Group 2 - The Hong Kong internet sector is expected to rebound after a period of negative sentiment, with reasonable valuations and high growth potential in AI technology [2] - The Hong Kong Stock Connect Technology ETF (159262) rose by 2.84%, with significant gains in key stocks such as ASMPT and Hua Hong Semiconductor [2] - Major AI companies like Alibaba, Tencent, and Xiaomi account for nearly 45% of the ETF's weight, highlighting the concentration of technology leaders in the market [2] Group 3 - The Hong Kong Stock Connect Technology ETF saw a significant increase in scale, growing by 518 million yuan over the past week, marking the highest growth among comparable funds [3] - The ETF's latest share count reached 3.885 billion, a record high since its inception, indicating strong investor interest [3] - Continuous net inflows into the ETF over the past 11 days totaled 693 million yuan, with a peak single-day inflow of 325 million yuan [3] Group 4 - The Hong Kong Stock Connect Technology ETF provides exposure to leading technology companies, capitalizing on the opportunities presented by the AI revolution [4]

这款XMAN-R1可不只是"花架子"。它依托擎朗独创的岗位化垂域模型ProS，能精准复刻餐厅服务生的 标准化流程，从餐食制作到配餐收台样样精通。更厉害的是它的"腿脚功夫"，凭借双足动态平衡技术， 即便在酒店斜坡、餐厅狭窄过道等复杂环境中，也能灵活避让行人，堪比"室内L4级无人驾驶"。 "您有一份爆米花订单，现在开始为您制作。"随着清脆的语音提示，双足人形机器人XMAN-R1稳稳举 起勺子，舀起爆米花精准倒入纸筒，完成后还不忘说句"请享用"。在上海擎朗智能的展厅里，这个刚在 世界人工智能大会上圈粉无数的"爆米花大厨"，正用流畅的动作展示着具身智能的魅力。 当下，生成式AI正以近乎爆炸式的姿态突破边界，为机器人注入了前所未有的"智能灵魂"，同时，"具 身智能"迅速成为科技界的热词，机器人行业正被推至聚光灯下，机器人公司又该何去何从？ "人形机器人是所有机器人产品线中最新也是最重要的品类。当前，人工智能尤其是具身智能，正处在 行业爆发早期。"在李通看来，人形机器人的大规模商业化必然需要时间，科技创新从来不是一蹴而就 的。就目前而言，整个行业的瓶颈仍在于"智能"层面。 "要在不同场合中高效应用，适配是关键。"一位负责 ...

Core Insights - The launch of the self-developed supply chain intelligent agent "Xiao Jin" by Digital China Holdings' subsidiary, KJ Supply Chain, aims to enhance efficiency in data querying, intelligent decision-making, and customer service [1][2] - The global generative AI market is projected to reach $10 trillion, indicating a strong demand for intelligent transformation across industries, particularly in supply chains [2] Group 1 - "Xiao Jin" is part of Digital China's ongoing "Data x AI" strategy, leveraging the Yanyun Infinity platform to empower core supply chain business scenarios [1] - The intelligent agent has shown significant improvements in order completion rates, warehouse management efficiency, and a reduction in customer complaints during its deployment at KJ's flagship warehouse in Kunshan [2] - The core issue with general large models is their disconnect from actual business needs, which "Xiao Jin" aims to address by integrating industry-specific knowledge and real-time business data [1][2] Group 2 - The development of "Xiao Jin" is based on over 20 years of operational experience and technical reserves, enabling it to understand logistics data and industry pain points effectively [2] - The future competition in the AI space will focus on the ability to industrialize applications that solve real business problems, rather than just the capabilities of large models [2] - KJ Supply Chain plans to collaborate with logistics companies, e-commerce platforms, and manufacturers to expand the ecosystem of supply chain intelligent agents, leading to a new era of "full-link intelligent collaboration" in the supply chain industry [3]

近日，未可知人工智能研究院院长杜雨博士应邀为 国家能源集团 开展主题为 "AI赋能能源行业智能化转型：创新趋势与实践应用" 的企业内训。此次培 训聚焦人工智能在能源行业的最新发展趋势、核心技术突破及落地应用场景，吸引了集团各业务板块的管理与技术骨干参与。 培训中，杜雨博士结合 国家电网、南方电网、华为云、施耐德电气 等国内外典型案例，深入剖析了AI在智能巡检、功率预测、客服系统、能源管理等场 景中的成熟应用。他特别提到，由未可知人工智能研究院持续关注的国产大模型代表——DeepSeek，正以其高效低成本的训练优势，加速AI在能源等垂 直行业的落地进程。 杜雨博士从宏观、中观、微观三个维度系统讲解了AI如何重塑能源产业格局。他指出，当前全球AI产业正处于快速发展期，生成式AI作为新一轮技术革 命的核心引擎，正深刻改变传统行业的生产方式与服务模式。 尤其在能源领域，AI不仅在资源勘查、发电调度、电网运维等环节实现降本增效，更在推 动"双碳"目标落地、构建新型电力系统中发挥关键作用。 " AI不是未来的技术，而是当下的生产力。 "杜雨博士强调，能源企业应积极拥抱AI技术，从顶层设计到业务场景逐步推进智能化转型，构建 ...