Fusion Fund 创始合伙人张璐 AI领域的投资风向已悄然转变。 遥望大洋彼岸的AI创新圣地硅谷，正上演着"双线并行"的热闹戏码：一边是OpenAI、Google、X.ai、 Meta 等科技巨头持续加码基础模型研发，投入上千亿美元，追求更强大的通用能力；另一边是以效 率、落地为导向的小模型、垂类模型在医疗、金融等高价值场景中低成本、加速落地，成为行业关注的 新焦点。 或许不是AI发展得太快，而是我们站得太近。 北京时间2025年5月20日，微软在 Open Agentic Web 大会上，明确提出"智能体是互联网的新基建"，并 一口气发布 50 多项新品；5月21日，谷歌在 I/O 2025 开发者大会上同样重申了 Agent 作为AI"从被动工 具向主动代理"转变的核心意义；而作为底层芯片平台的英伟达，则用 Blackwell Ultra 重塑了AI计算的 逻辑。 这些动态清晰透露出新风向：AI之战，正从"百模大战"迈向智能体（AI Agent）的新一轮平台级革新。 "这算是行业内的共识，AI Agent 是继 PC 和互联网之后的下一代通用平台，将开启真正意义上的'人机 协同'新时代。"硅谷投资人 ...

智通财经APP获悉，中国银河证券发布研报称，海外token需求持续增长，AI算力与应用实现正向循 环，建议关注国内NV链相关企业，以及PCB、光模块、CPO的相关公司。字节在AI应用生态领域已构 建起相对优势，建议关注字节生态合作伙伴。AI Agent的商业模式正从"提供工具"向"交付价值"转变， 对应垂直行业knowhow型卡位公司的投资机会相对提升，建议关注在AI Agent方面布局领先的垂直领域 卡位SAAS企业。 AI Agent的商业模式正从"提供工具"向"交付价值"转变，SAAS企业有望迎来价值重估的机会 生产力智能体以提升效率为核心，除了通用型智能体外，编程、教育、创作等AI工具类增长最快，涌 现不少初创公司。不同于生产力智能体，企业级智能体的参与者更大比例是原有深耕垂直领城的SAAS 服务商。企业级智能体正处于规模化应用的爆发点，当前企业在应用AI Agent时会重点考虑投资回报率 (ROI)，结合各行业的场景标准化程度、数据基础与商业价值，该行认为企业级智能体有望最快落地的 领域按优先级排序为：企业服务(OA/ERP/CRM等)、金融/财务/风控、营销/电商、制造/供应链、法律/ 政务、医疗 ...

Core Insights - The article emphasizes the growing importance of vertical 2B agents in addressing specific business pain points, leading to quantifiable efficiency improvements and cost savings for enterprises [1][2][7] - It discusses the necessity of creating high-value closed loops that businesses cannot refuse, focusing on the commercial value of vertical agents [2][24] - The future of agents is predicted to be vertical rather than general-purpose, with companies needing to embrace and integrate AI deeply to avoid being left behind [7][41] Group 1: Business Strategy and Market Positioning - The company aims to identify and solve the core bottlenecks in business processes, directly contributing to revenue generation or significant cost reduction [16][18] - A focus on vertical markets allows the company to leverage existing customer resources and build relationships quickly, achieving over 100 client connections in a single quarter [19] - The choice of high-tech industries, particularly mid-to-high-end manufacturing, is based on the sector's strong digitalization and transformation needs, as well as its financial capacity to invest in agent solutions [24][25] Group 2: Product Development and Implementation - The transition from demo products to controllable, productive agents is crucial, with a focus on delivering real, measurable productivity [30][31] - Continuous iteration and co-creation with clients are essential for developing core technical capabilities, ensuring that products genuinely solve customer problems [33][34] - The company prioritizes achieving over 90% accuracy in agent performance, which is critical for client trust and adoption [31][37] Group 3: Client Engagement and Value Proposition - The company emphasizes the importance of understanding client business scenarios and pain points to deliver tailored agent solutions [61][63] - Successful agent implementation requires a strategic approach, focusing on high-frequency, repetitive tasks that are prone to errors, ensuring deep integration with existing systems [62][63] - The evaluation of agent success is based on its ability to reduce labor needs, shorten task processing times, and complete business tasks independently [63]

Everyone wants a slice of agentic AI, and @Narada_AI's CEO says it might be the end of SaaS as we know it.Dave Park joined @RebeccaBellan on @EquityPod to explain what’s next for enterprise software.Catch the full episode here:https://t.co/81wXccnpaK https://t.co/1pXNa1BPTf ...

Core Insights - SoundHound AI (SOUN) has experienced a significant stock price increase of 55% over the past three months, outperforming major market indices and sectors [1][9] - Despite this growth, the stock is still 49.1% below its 52-week high of $24.98, but 222.6% above its 52-week low of $3.94, raising questions about further upside potential [2] Revenue Growth and AI Innovation - In Q1 2025, SoundHound reported revenues of $29.1 million, reflecting a year-over-year growth of 151%, driven by successful acquisitions [6] - The proprietary Polaris foundation model supports multi-modal, multi-lingual voice AI, enhancing the performance of the Amelia 7.0 platform [7] - SoundHound is expanding its voice commerce capabilities, with over 13,000 restaurant locations using its AI and pilots with major automotive OEMs [8] Diversification and Enterprise Traction - SoundHound has diversified its customer base beyond automotive AI, achieving strong renewals and expansions in sectors like healthcare, telecom, and financial services [10] - The Amelia 7.0 platform allows businesses to deploy AI agents for complex workflows, positioning SoundHound as a key player in the Agentic AI market [11] Operational Metrics - Active cloud users increased by over 50% in Q1, with a tenfold rise in restaurant activations year over year [12] - SoundHound's AI platforms handle over 2 billion voice queries per quarter, indicating strong operational momentum [12] Valuation Concerns - SoundHound's forward Price-to-Sales (P/S) ratio stands at 27.19X, significantly above the industry average of 19.56X, highlighting valuation concerns [15] - The company remains unprofitable on a GAAP basis, with a non-GAAP net loss of $22.3 million in Q1 [18] Competitive Landscape - SoundHound faces intense competition from tech giants like Alphabet, Amazon, and Apple, which dominate the voice AI market [22] - The company must focus on niche, embeddable voice solutions to differentiate itself from larger competitors [23] Future Outlook - Management projects full-year 2025 revenues between $157 million and $177 million, with a commitment to achieving adjusted EBITDA profitability by the end of 2025 [21] - The stock's recent rally reflects confidence in SoundHound's scalable AI platform and vertical expansion, but elevated valuation and operating losses present risks [24][25]

Welcome to our GTC Paris at VivaTech 2025 wrap-up. Hello everyone, I'm Dion Harris, Senior Director of HPC and AI Infrastructure Solutions at NVIDIA. Europe was the birthplace of the first two industrial revolutions and where modern manufacturing emerged.Now, the fourth industrial revolution has arrived: the age of AI. This year, we showcased something remarkable—the acceleration of AI across every corner of Europe. In his keynote, Jensen Huang shared how we're entering the era where agentic AI can understa ...

2024年6月18日美股收盘，英伟达市值飙升至超过3.4万亿美元，首次成为全球市值最大公司。这距 离该公司挺进3万亿美元俱乐部不到两周。 2025.07. 09 本文字数：1973，阅读时长大约3分钟 作者 | 第一财经 钱童心 7月9日美股开盘，英伟达的市值首次突破4万亿美元，成为全球首家4万亿美元市值公司。 从3万亿美元市值增至4万亿美元市值，英伟达用了13个月。 2024年6月5日，英伟达首次收盘市值突破3万亿美元，从2万亿美元市值增至3万亿美元市值，英伟 达仅用了约3个月的时间。 2023年5月30日，英伟达市值首次突破1万亿美元，并成为美股有史以来首家万亿美元市值的芯片公 司。2024年3月1日，英伟达市值突破2万亿美元，从1万亿美元市值增至2万亿美元市值，英伟达用 了9个月时间。 AI"加速一切"，打造数据中心工厂 英伟达股价暴涨与该公司AI芯片迭代的速度正相关。"今天我们正处于计算领域重大转变的最前沿， 人工智能和加速计算的交汇将重新定义未来。"英伟达创始人CEO黄仁勋表示。 今年年初，英伟达股价曾一度遭遇DeepSeek"黑天鹅"的冲击。市场担心，由于DeekSeek的人工智 能模型R1仅需更 ...

Key Takeaways UIS launched three AI cloud solutions to boost operations and integrate AI into core enterprise systems. The company faces rising competition from MSFT's Copilot and PLTR's AIP in the agentic AI space. UIS expects 2026 EPS to grow 120.7% and trades at a low 0.15x forward P/S, signaling strong upside potential.With the current market rapidly shifting its focus toward AI solutions for seamless and more efficient business operations, Unisys Corporation (UIS) is stepping up its game in this cont ...

从3万亿美元市值增至4万亿美元市值，英伟达用了13个月。今年年初，英伟达股价曾一度遭遇DeepSeek"黑天鹅"的冲击。 7月9日美股开盘，英伟达的市值首次突破4万亿美元，成为全球首家4万亿美元市值公司。 从3万亿美元市值增至4万亿美元市值，英伟达用了13个月。 2024年6月18日美股收盘，英伟达市值飙升至超过3.4万亿美元，首次成为全球市值最大公司。这距离该公司挺进3万亿美元俱乐部不到两周。 2024年6月5日，英伟达首次收盘市值突破3万亿美元，从2万亿美元市值增至3万亿美元市值，英伟达仅用了约3个月的时间。 2023年5月30日，英伟达市值首次突破1万亿美元，并成为美股有史以来首家万亿美元市值的芯片公司。2024年3月1日，英伟达市值突破2万亿美元，从1万亿 美元市值增至2万亿美元市值，英伟达用了9个月时间。 今年年初，英伟达股价曾一度遭遇DeepSeek"黑天鹅"的冲击。市场担心，由于DeekSeek的人工智能模型R1仅需更少的芯片，就能实现与ChatGPT大模型相当 的能力，可能减少未来对英伟达芯片的需求。 对此，黄仁勋向市场多次回应。他强调，市场对R1的理解完全不对，这种AI推理模型对算力的需求实 ...

本文来自微信公众号：MacTalk，题图来自：AI生成 Manus 裁员，改新加坡公司了。 中国区员工 120 多人裁了 80 左右，也算大规模。 总部迁走，裁员开始，新加坡这边也在同步招人。 在 AI Agent 赛道里，Manus 是一个典型的样本。从中国起势，用英文命名，快速出海，背后站着资本 的推力和政策的红线。这类公司的走向，某种程度上也是整个行业的一面镜子。 至于 Manus 将总部迁入新加坡的原因，主要有两种声音： 社交平台信息显示，目前 Manus 在中国区的员工总数 120 人左右，除了四十多名核心技术人员迁往新 加坡总部之后，其余员工都将会进行裁员优化，给予 N+3 或者 2N 的赔偿。 今年初在全球爆火的中国 AI Agent 产品 Manus，4 个月后，主体迁到新加坡。动作之快，堪称"闪电迁 都"。 早在今年 6 月，Manus 的合伙人张涛就在一场活动上透露，公司总部已经迁往新加坡。查了一下资料， 新总部名叫"Butterfly Effect"，去年 8 月就已经在新加坡注册，背后的母公司设在开曼群岛。 根据 The information 的报道，Manus 已完成硅谷顶级风投 ...