在Anthropic举办最新产品发布活动后，Wedbush表示，市场对生成式人工智能冲击传统企业软件的担忧 被明显夸大，近期软件板块的波动更多源于情绪而非基本面。 智通财经APP获悉，Wedbush由Dan Ives领衔的分析师团队指出，Anthropic在其"Enterprise Agents"发布 会上展示了多项面向企业的产品更新，重点突出基于代理的工作流和企业级集成能力。Anthropic通过 现场演示，展示了Claude Cowork在多家大型企业中的应用场景，包括Spotify Technology(SPOT.US)用于 缩短复杂代码迁移的工程时间、诺和诺德(NVO.US)用于提升临床研究文档整理效率，以及赛富时 (CRM.US)在Slack中压缩项目周期等。 不过，Ives强调，尽管这些应用案例令人印象深刻，新一代AI工具并不会"推倒重来"式地取代现有企业 软件生态。"AI工具的价值高度依赖其可接入的数据，本身并不能脱离既有系统独立运行。"他指出，市 场往往将基础模型能力等同于完整的企业级软件平台，忽视了企业IT环境的现实复杂性。 从估值角度看，Wedbush认为，近期软件股的估值压缩与未来盈利风 ...

Time now for Options Corner. Joining us to take a deeper look at the chart is Rick Dukat, lead of Market Technician. This one's been roughed up really bad, not just this year, but last year as well.Take us through what you notice in this chart. >> As you said, a really difficult time for the software sector as a whole. Salesforce in particular here. When we look uh Salesforce in red here, down almost 40% on the year.Uh software down almost 20%. Meanwhile, the tech sector doing all right, up almost 23%. And ...

Market Overview - The Dow Jones Industrial Average increased by 370.44 points (+0.7590%) to reach 49,174.50, indicating a recovery from recent market volatility [1] - A significant rebound in the enterprise software sector was a primary driver of this market movement, alleviating investor concerns about the impact of artificial intelligence [1] - Dow Futures also showed positive movement, up 126.00 points (+0.2559%) to 49,362.00, reflecting a shift in trader sentiment [1] Key Company Performances - Salesforce (CRM) led the gains, rising by 3.41% to $185.42, with investor optimism surrounding its Agentforce platform and monetization of autonomous AI agents [2] - IBM (IBM) saw a 3.34% increase to $229.32, recovering from previous sector concerns [2] - Other technology companies contributing to the index's strength included Apple (AAPL), up 2.41% to $272.14, and Amazon (AMZN), up 1.91% to $208.56 [2] Sector Performance - The healthcare sector was a notable laggard, with UnitedHealth Group (UNH) declining by 3.10% to $273.95 due to challenges from a rising Medical Care Ratio (MCR) and disappointing Medicare Advantage enrollment figures for 2026 [3] - Other decliners in the healthcare sector included Travelers (TRV), down 0.79%, and McDonald's (MCD), down 0.35% [3] - Despite the healthcare sector's struggles, the Dow was supported by strong performances from Home Depot (HD), which rose by 2.05% to $384.48, and Caterpillar (CAT), up 1.59% [3]

Market Analysis by covering: Nasdaq 100, SPDR® S&P 500® ETF Trust, Invesco QQQ Trust, Salesforce Inc. Read 's Market Analysis on Investing.com ...

Core Viewpoint - Salesforce, Inc. is set to release its fourth-quarter earnings on February 25, with expectations of increased earnings per share and revenue compared to the previous year [1]. Financial Performance - Analysts anticipate Salesforce will report earnings of $3.04 per share, an increase from $2.78 per share in the same quarter last year [1]. - The consensus estimate for quarterly revenue is $11.18 billion, up from $9.99 billion reported in the previous year [1]. Analyst Expectations - The company has exceeded revenue estimates in seven of the last ten quarters, although it missed expectations in the most recent third quarter [2]. - Salesforce shares rose by 4.1% to close at $185.42 on Tuesday [2].

作者：Kevin McLaughlin、Aaron Holmes、Nick Wingfield AI 智能体将如何冲击软件行业，这一不确定性正在让投资者对行业未来产生疑虑。某软件高管近期的 表态，揭示了企业在应对外部 AI 智能体疯狂攫取数据时，可能采取的一种应对方式。 本月早些时候，在软件公司 HubSpot 的投资者电话会议上，一位华尔街分析师向 CEO Yamini Rangan 提出了一个几乎所有密切关注软件行业的人都在思考的问题： 如果客户使用 AI 智能体，从 HubSpot 的客户管理软件中提取数据，并用其他厂商的 AI 进行分析， HubSpot 打算如何应对？ "我们会监控、计量，并将其商业化变现。" Rangan 回应道。"我们的平台…… 在设计上是开放的，但我们不是供所有人随意提取信息的免费数据管 道。" Rangan 的表态，暗示了软件高管们为抵御外部智能体掠夺数据可能采取的策略。这意味着其公司可能 围绕客户数据设立收费关卡，与过去大多数软件公司允许应用间数据自由流通的模式形成鲜明反差。 在其他案例中，软件高管们也越来越多地强调：允许智能体访问敏感企业数据和应用，会带来安全风 险。 一 ...

Core Insights - Alternative assets have transitioned from niche allocations to essential components of institutional and wealth portfolios, prompting managers to explore diverse strategies and channels as competition increases and limited partners (LPs) demand more transparency [1] Group 1: Industry Trends - Private markets managers are currently operating in siloed data environments, and to fully leverage AI, they need coherent operating models rather than isolated tools [2] - The demand for transparency and efficiency in alternative asset management is driving the need for advanced operating models that minimize manual work [1][2] Group 2: Navatar's AI-Powered Model - Navatar has developed an AI-powered CRM operating model that features a single AI Deal Engine, which integrates various functions such as sourcing, diligence, capital deployment, and investor engagement [3] - The AI continuously captures intelligence and maintains institutional context, automating workflows across the private markets lifecycle without relying on manual updates [3] Group 3: Functionality and Applications - Navatar's AI is designed to serve as a firm-wide intelligence layer for both multi-strategy platforms and focused managers, capturing signals from daily workflows and transforming them into actionable insights [4] - In the origination phase, the AI maps networks and identifies early signals, helping teams prioritize opportunities based on historical data [5] - The model extends to capital formation and investor relations, interpreting engagement across various channels and linking it to deal activity for improved fundraising precision [6] Group 4: Security and Compliance - The AI operating model is built to meet the confidentiality and regulatory requirements of alternative asset managers, ensuring client data remains secure and is not exposed to public AI models [7] - The platform includes safeguards to enhance accuracy, completeness, and traceability in critical decision-making processes [7] Group 5: Market Applications - Navatar's platform supports various sectors within private markets, including private equity, venture capital, private credit, and real estate, by providing insights that enhance decision-making and risk evaluation [8] - The AI facilitates connections between technical, operational, and market data, allowing teams to better assess value creation opportunities [8]

一篇雄文（熊文？），把市场砸出了一个坑。 2026年2月23日，周一，美股开盘。（你看，咱们这春节不开盘也有好处） 道琼斯跌了800多点，收在了日内最低点，全市场只有27%的股票收涨。 而触发这场抛售的，是一篇Substack上的一篇名为《2028全球智能危机》文章。 作者自己写了三遍：这只是思想实验，但市场不管这些，崩了！ DoorDash跌了7%，MongoDB跌了6%，ServiceNow和Salesforce各跌4%。 金融行业的跌幅更狠，美国运通、KKR、黑石都跌超8%，阿波罗全球、Capital One也跌了至少3%。 当天，科技软件ETF（IGV）创下了52周新低，当日下跌5%，年初至今已经跌了近30%，把ChatGPT发布以来的涨幅都跌没了。 更戏剧化的是IBM，跌近12%。（当然，客观地说，这大概率和Anthropic旗下产品会支持COBOL维护有关） 这件事值得我专门发一篇文章的点在于——这TM完全一篇想象出来的未来推演。 这说明市场早已绷紧了一根弦，而Citrini这篇文章，成了那个出口。 很显然，文章没有瞎扯，对未来推演的逻辑是让人信服的（至少说服了市场），这就值得我们一块来仔细盘一盘 ...

Core Insights - Insider buying is a strong bullish indicator, particularly relevant for assessing the future performance of stocks, especially in the AI sector [1][2] - The actions of insiders, who have better knowledge of the company's internal situation, can provide insights into the potential rise in stock prices [2] Company Overview: Salesforce - Salesforce has experienced a challenging market performance, with shares down 30% year-to-date as of February 19 [5] - The company has had limited insider activity recently, with only four transactions recorded: two buys and two sells [5] Insider Transactions - Harris Parker, co-founder of Salesforce, sold $31.6 million in shares in December 2025 as part of a pre-planned 10b5-1 plan, which is not indicative of the company's performance [6] - Neelie Kroes, a director, sold 3,893 shares for $929,276 in January 2026, but the reasons for such sales can vary [7] - On the buying side, Kirk David Blair, a director, purchased 1,936 shares for $500,722 in mid-December 2025, signaling confidence in Salesforce's future [9] - The most significant purchase was made by Mason Morfit, co-CEO of ValueAct Capital, whose firm bought $25 million worth of Salesforce shares on December 5, indicating strong confidence in the company's prospects [10] Insider Buying Summary - Excluding the 10b5-1 sales, net insider buying totaled approximately $24.6 million over the past three months, suggesting positive sentiment among insiders [11] - Upcoming fiscal results for 2026 are anticipated on February 25, with a product release planned for February 23, 2026, which will introduce new AI capabilities [11]

Core Insights - The article discusses the significant impact of AI on the SaaS industry, particularly following the launch of Anthropic's AI tool for legal services, which caused a sharp decline in stock prices of major SaaS companies and raised concerns about the traditional subscription model [3][4][5]. Group 1: Stock Price Decline - The launch of Anthropic's AI tool led to a single-day stock price drop of over 13% for legal information service giants like WEX Group and LexisNexis, triggering a broader sell-off in the software industry [3][5]. - The S&P North American Software Index saw a cumulative decline of 15% in January 2026, marking its worst monthly performance since the 2008 financial crisis [6]. - The term "SaaSpocalypse" was coined to describe the drastic sell-off in the SaaS sector, with over $1 trillion in market value evaporating from software companies [3][6]. Group 2: Challenges to Subscription Model - The traditional SaaS business model, which relies on a "seat-based payment" system, is being challenged by AI's ability to automate tasks previously requiring multiple employees [4][5]. - Companies like Salesforce and Intuit experienced significant stock price drops, with Salesforce's stock down 23% year-to-date and 30% from its peak in December 2025 [8][5]. Group 3: Need for Valuation Restructuring - IT budgets are becoming increasingly fixed, with major tech companies like Amazon and Alphabet allocating substantial funds (approximately $200 billion and $175-185 billion respectively) towards AI infrastructure, thereby squeezing traditional SaaS budgets [7]. - The shift in IT spending from traditional software to AI solutions has led to a reevaluation of SaaS company valuations, moving from a user-based growth model to a performance-based payment model [10][11]. Group 4: Transformation Paths for Leading Companies - Major SaaS companies like Salesforce and Microsoft are restructuring their products to create AI-native enterprise service systems rather than simply adding AI as a feature [14][15]. - Salesforce's transition has faced challenges, including a significant layoff of 4,000 customer service positions, which later resulted in service quality issues and increased customer complaints [17][19]. - Adobe has adopted a different strategy by integrating AI deeply into its Creative Cloud, allowing users to pay extra for AI features rather than reducing seat licenses [20][21]. Group 5: Industry Reconstruction Insights - The impact of AI on the SaaS industry represents a "value reconstruction" rather than a complete industry replacement, emphasizing the need for SaaS companies to redefine their core value propositions [23]. - Future software business models may evolve into hybrid models, performance-based models, or platform models, with no single approach suitable for all companies [25][26][27]. - Investors are encouraged to shift their focus from user growth to AI monetization capabilities and the quality of profits [30]. Group 6: Implications for IT Professionals - Companies must redefine product value by focusing on business outcomes rather than merely listing features, as clients prioritize efficiency and cost reduction [31][33]. - The traditional seat-based payment model is becoming obsolete, necessitating a shift to performance-based or usage-based pricing structures [34]. - Establishing industry-specific expertise and trust with clients is crucial for SaaS companies to maintain a competitive edge in the AI era [35][36].