We came across a bullish thesis on UiPath Inc.  on Valueinvestorsclub.com by FT42. In this article, we will summarize the bulls’ thesis on PATH. UiPath Inc. 's share was trading at $11.57 as of September 16th. PATH’s trailing and forward P/E were 385.67 and 17.54 respectively according to Yahoo Finance. 12 Most Automated Industries in the US Copyright: rawpixel / 123RF Stock Photo UiPath (PATH) represents a differentiated play within the agentic AI economy, positioning itself not as a developer of found ...

机器之心PRO · 会员通讯 Week 39 --- 本周为您解读 ③ 个值得细品的 AI & Robotics 业内要事 --- 1.放弃 CoT？Agentic 时代为什么更需要隐式推理？ 为何显示推理无法打破「1Hz」壁垒？Agentic AI 与 CoT 存在哪些冲突？隐式推理为何重新开始流行？TiS 对比 TbS 有哪些优势？隐式推理成为「实时推理」主流路径还有哪些挑战？为什么隐 式推理能绕过「黑箱」困境？... 2. 先验+后验加持，大模型能否 hold 住推理预测的现实「溢出」？ 静态考卷太简单，FutureX 能把「记忆型」模型拉到真正的未来考场吗？执行错误「积少成多」，大模型长程任务失效不能只让推理「背锅」？当推理「用兵」碰上财务预测等现实场景，模型 能否稳定「指挥」从而落地？过往的模型预测技术在往哪些方向发力？先验记忆与后验反思机制，未来能为模型预测带来新的突破吗？... 3. 站在巨人的肩膀上：Sergey Levine 预测机器人在五年内实现「完全自主」 为什么机器人的「全能时刻」是伪命题？Sergey Levine 为何更关注机器人「飞轮」？是什么让 Levine 预测机器人将「一年 ...

人工智能浪潮下，具身智能、智能辅助驾驶正载着AI开启一场从数字世界穿梭到物理世界，Agentic AI 时代正在到来，一场新的竞赛也正在开启。 "过去这一年，AI的兴起让我们看到一个比较大的赛道涌现，就是自动驾驶与具身智能。"2025云栖大 会上，阿里云大数据AI平台负责人汪军华告诉记者，阿里云对这两个行业非常关注，这不仅体现在资本 层面的投入，更重要的是进行了高强度的基础设施技术栈投入。 智能辅助驾驶技术架构正在从"多模块多阶段串联"走向"端到端一体化"变革，底层的大数据 AI 工程架 构也面临不断升级的需求，产业界看得到"端到端"范式革命拐点的到来，也在走向新的技术难关。在 机器人研发落地的场景中，云厂商也发现了相似的趋势与需求。 如何帮助智驾和机器人实现"越用越聪明"？诸多云厂商正看好并投入这个产业难关的攻克抢占未来市 场。实现大数据 AI 闭环被视作关键破局点之一。一场在两个AI落地前沿行业中的"卡位"战正悄然兴 起。 1."端到端"来了 "自动驾驶从2003年左右开始发展，近二十年是没有太大进步的状态，直到'端到端'出现了。" 卓驭AI 首席技术官陈晓智对记者表示。 刚刚过去的云栖大会上，阿里云便宣 ...

Economic Indicators - The Personal Consumption Expenditures (PCE) Price Index showed a month-over-month increase of 0.3%, leading to a year-over-year inflation rate of 2.7% [1] - Core PCE, excluding food and energy, rose by 0.2% month-over-month, resulting in a 12-month core rate of 2.9% [2] - Personal consumption expenditures increased at a pace of 0.6%, indicating resilience among U.S. consumers, while the personal saving rate edged up to 4.6% [3] Federal Reserve Outlook - The Federal Reserve is likely to find the PCE report mildly soothing, but core inflation remains significantly above the 2% target, complicating rate-cut decisions [4] - The Fed is balancing the need to control inflation without causing distress in the labor market, as wage growth is cooling and job creation has softened [5] - Expectations for interest rate cuts have strengthened, with the probability of two quarter-point cuts increasing from 60.5% to 63% following the PCE data release [6] Quantum Computing Developments - HSBC has reported a 34% improvement in algorithmic corporate bond trading efficiency through the use of quantum computing tools in collaboration with IBM [12] - This advancement represents a significant step in the practical application of quantum computing, showcasing its potential to solve real-world business problems [13] Investment Strategies in Quantum Computing - Investing in quantum computing is characterized by high volatility, with companies like Rigetti experiencing significant price fluctuations [15][16] - It is advised to focus on quantum companies with strong fundamentals rather than those driven by hype, as weak fundamentals can lead to stock declines [18] Agentic AI and Investment Opportunities - The introduction of AI shopping agents, which can autonomously make purchases, is being facilitated by Google's new Agent Payments Protocol [23] - Investment opportunities in agentic AI can be categorized into three main areas: platform owners like Alphabet, payment processors such as Visa and Mastercard, and infrastructure providers like Amazon and Microsoft [26][28] Broader AI Trends - The advancements in agentic AI are part of a larger trend in AI, which includes the development of physical AI capable of sensing and acting in the real world [30]

ServiceNow, Inc. (NYSE:NOW) is one of the AI Stocks in the Spotlight This Week. On September 24, Morgan Stanley analyst Keith Weiss upgraded the stock from Equalweight to Overweight with a price target of $1,250.00 (from $1,040.00). The firm upgraded the enterprise software company, citing overblown risks. The analysts noted how ServiceNow has been performing well despite having a volatile backdrop. The company delivered about 20% subscription growth, strong margins, solid cash flow, and also continues to ...

According to a report from CNBC, companies are increasingly spending on agentic AI without fully understanding its capabilities. However, technology leaders must change this trend if they want to avoid wasting future investments. “It’s not surprising that many organizations are still trying to figure out what agentic AI really is. Agentic AI has a buzz about it that many in the market want to capitalize on, and we’ve seen an incredible rebranding of anything related to generative AI presented as ‘agentic AI ...

This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Dive Brief: Accenture touted substantial gains in its AI business and surging demand for data modernization services, during a Q4 2025 earnings call Thursday. “Our data business is on fire,” CEO Julie Sweet said during the call. “One out of every two projects in Gen AI, agentic AI and physical AI now has significant data pull-through.” The firm also folded five formerly ...

Group 1 - CXApp Inc. is actively engaging executives and clients through various conferences and exclusive events to promote thought leadership in the AI-driven employee experience market [1] - The company has announced its schedule for October, which includes industry conferences and networking events aimed at showcasing its agentic-AI based employee experience platform [1] - The focus is on demonstrating real-world applications of AI to key decision-makers and industry leaders [1]

Financial Data and Key Metrics Changes - In fiscal year 2025, the company achieved a revenue growth of 7%, adding $5 billion in revenue, with over $80 billion in bookings [5][22] - Adjusted earnings per share (EPS) for Q4 was $3.03, reflecting a 9% growth compared to the previous year [15][21] - Free cash flow for Q4 was $3.8 billion, and for the full year, it was $10.9 billion, up 26% year over year [15][23] Business Line Data and Key Metrics Changes - Consulting revenues for Q4 were $8.8 billion, up 6% in U.S. dollars and 3% in local currency [17] - Managed services revenues for Q4 were also $8.8 billion, reflecting an 8% increase in U.S. dollars and 6% in local currency [18][23] - The capital projects business grew 49% year on year, reaching $1.2 billion [9] Market Data and Key Metrics Changes - In the Americas, revenue grew 5% in local currency, with significant contributions from banking and capital markets [18] - EMEA delivered 3% growth in local currency, driven by insurance and life sciences [18] - Asia Pacific revenues grew 6% in local currency, led by banking and capital markets [19] Company Strategy and Development Direction - The company aims to be the number one partner for the tech ecosystem, with 60% of revenue coming from partnerships with top technology companies [7] - A significant investment of $3 billion in Gen AI is expected to drive future growth, with revenue from advanced AI reaching $2.7 billion in FY25 [8][9] - The company is focusing on a three-pronged talent strategy to upskill its workforce and enhance operational efficiency [12][13] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's positioning for FY26, citing strong bookings and a solid pipeline for large transformation deals [46] - The overall market conditions have not shown significant changes, and the company remains focused on delivering results [25][26] - The management highlighted the importance of AI in driving growth and productivity, emphasizing that AI is seen as expansionary rather than deflationary [48][49] Other Important Information - The company initiated a business optimization program with an expected total cost of approximately $865 million, aimed at talent rotation and divestiture of non-aligned acquisitions [16] - The company plans to return at least $9.3 billion to shareholders through dividends and share repurchases in FY26, reflecting a 12% increase from FY25 [43] Q&A Session Summary Question: Visibility on revenue growth and discretionary spending - Management indicated strong demand for large transformation deals and a solid backlog, with guidance for FY26 reflecting a range of 2% to 5% growth [46] Question: Thoughts on AI-driven productivity and potential deflationary effects - Management does not see AI as deflationary but rather as expansionary, with savings being reinvested into new priorities [48][49] Question: Balance between Gen AI and managed services - Both consulting and managed services are expected to grow in the low to mid-single-digit range, with managed services becoming increasingly strategic [54][56] Question: Details on CapEx investments - The company expects about $1 billion in CapEx for FY26, primarily for expanding real estate and leasehold improvements [63] Question: Client behavior in using Gen AI - Many clients initially attempted to implement Gen AI independently but later sought assistance for scaling, highlighting the need for change management and process reinvention [78] Question: Expected savings from the business optimization program - The company anticipates savings of over $1 billion from the optimization program, which will be reinvested in the business and workforce [81]

Core Insights - Genpact has launched the Genpact Insurance Policy Suite aimed at commercial and specialty business insurance, designed to reduce cycle time by up to 75% and enhance operational efficiency through AI-powered workflows [1][8] - The suite is built with underwriters in mind, focusing on improving quote delivery speed, broker relationships, and submission-to-bind ratios [2] - The solution utilizes Microsoft Azure AI Foundry Models and Azure Analytics Services to streamline underwriting support tasks and improve transparency and insights for carriers and underwriters [3][4] Product Features - The Genpact Insurance Policy Suite consists of four modules that employ specialized AI agents to classify, extract, and summarize data, facilitating touchless processing and anomaly detection [4] - Organizations adopting the suite can expect up to 90% touchless submission clearance and up to 50% lower costs, leading to improved working capital [8] Strategic Positioning - Genpact is expanding its portfolio of outcome-based agentic AI solutions, with over 1,000 domain-specific AI models and a commitment to scaling agentic AI for enterprises [5] - The collaboration with Microsoft enhances Genpact's capabilities in the insurance sector, positioning the company as a key partner for businesses looking to leverage advanced technology solutions [4][5]