ServiceNow (NOW 1.16%) has pulled back sharply, but accelerating AI integration, expanding enterprise contracts, and a $13 billion backlog could set the stage for a powerful rebound. If growth stays above 20% and execution remains strong, the path toward significant upside in 2026 becomes far more realistic than many expect.Stock prices used were the market prices of Feb. 20, 2026. The video was published on Feb. 26, 2026. ...

RESTON, Va.--(BUSINESS WIRE)--Intact Technology, an Elite ServiceNow Partner focused on large-scale Federal and highly regulated enterprise environments, today announced it has been named both U.S. Federal Government Partner of the Year – Americas and AI Customer Value Partner of the Year – Worldwide in the 2026 ServiceNow Partner Awards. The dual recognition underscores Intact's leadership in delivering complex, mission-critical ServiceNow programs across the Federal Government while pioneering scalable AI ...

Nvidia's blowout results and Salesforce's Agentforce progress signal the AI software selloff has gone too far, says Wedbush Proactive uses images sourced from Shutterstock Jensen Huang's $78 billion April guidance number and Marc Benioff's AI monetisation roadmap have given tech bulls their first clean arguments against the doomsday narrative that has hammered software stocks all year It has been a rough start to 2026 for tech investors. A creeping fear that AI models from Anthropic, OpenAI and others wou ...

编者按：最近，独立研究机构 Citrini Research 提出一个"未来回顾式"的经济思想实验：如果未来几年人工智能（AI）技术不仅实现了所有预期，而且极致 地推动了生产率，经济真的会更繁荣吗？ 他们的回答是：不一定——甚至可能引发经济与金融体系的系统性危机。 发布推文已经有近2800万阅读。大众对于AI替代人类的排斥感与金融精英对结构性风险的担忧正在合流。 首席在昨天的推文里简要阐述了一下报告的主要观点，并请用户们做了一个简单的投票，结果如下： | Al+机器人会带来经济繁荣吗? 单选 | | | --- | --- | | 会提升人类的平均收入 | 48票 15% | | 会降低人类的平均收入 | 104票 33% | | 不好说,看Al能否达到人类智能 | 60票 19% | | 人会背锅, Al永远不会 | 54票 17% | | 未来人类可以自由选择是否需要工作,生存物资取之不尽了。 | 51票 16% | 回顾过去半个多月，从MiniMax与智谱AI市值在港股迅速逼近甚至超越快手、京东、携程开始，市场已清晰感知到一场不只是"技术突破"的资本重估。中 国以春节联欢晚会为代表，将AI推向全民叙事； ...

Core Argument - The narrative that AI will destroy the software industry is misleading; instead, AI is enhancing the software sector by integrating into existing platforms and driving demand for established software companies [2][10]. Group 1: The Myth vs. Reality - The pessimistic view suggests that AI will commoditize software, leading to a decline in customer bases for major software companies as businesses opt for cheaper DIY AI solutions [3]. - Contrary to this belief, the software industry is experiencing significant growth, with companies like ServiceNow reporting record sales of AI-powered tools [4]. Group 2: Business Trends - Large enterprises are not abandoning their trusted software for standalone AI; they are willing to invest more in integrating AI into their existing systems [5]. - Atlassian's experience shows that as developers utilize AI to enhance productivity, they are actually increasing their usage of management software, leading to more tasks and team expansions [6][7]. Group 3: Barriers to Entry - Established software companies maintain a competitive edge due to significant barriers, or "moats," that protect them from new entrants, such as rigorous security and compliance requirements [8]. - The complexity of replacing foundational software systems, like ServiceNow, underscores the challenges new AI startups face in displacing established players [8]. Group 4: Investment Perspective - The debate surrounding the future of SaaS is often framed too simplistically; the success of AI does not necessitate the failure of existing software companies [9]. - The key takeaway is that AI serves as an upgrade rather than a replacement for software, benefiting both AI developers and established software firms that effectively integrate AI into their operations [10].

华尔街因担心AI带来颠覆性冲击而持续抛售软件股，但非专业投资者却在逆势扫货。 摩根大通汇编的数据显示，遭到重挫的软件板块中，散户交易活跃度正逼近历史高位，尽管标普综合 1500软件与服务子指数自年初以来已下跌近20%。 摩根大通策略师阿伦·贾因（Arun Jain）表示，尽管"市场部分领域持续出现裂痕"，散户投资者仍然"对 软件板块形成支撑"。 微软(MSFT.O)无论是在上周还是年初至今，都是散户投资者最青睐的标的。其他吸引散户兴趣的公司 还包括ServiceNow(NOW.N)和AppLovin(APP.O)。 这些散户的买入行为常被用"YOLO"（你只活一次）这一缩写来形容，这一次发生在软件股因一系列新 AI产品发布而承压之际。华尔街担心这些AI产品可能取代Salesforce(CRM.N)、Adobe(ADBE.O)等公司 的服务。 AI相关的担忧同样似乎并未吓退普通散户，他们在每一轮下跌中持续进场买入。根据VandaTrack Research的数据，周四，英伟达(NVDA.O)收跌5.5%，是自2025年4月以来表现最差的一天，却吸引了创 纪录比例的散户逢低买入。 博通(AVGO.O)、iShar ...

Core Insights - The report from CitriniResearch outlines a hypothetical scenario where the rapid advancement of AI leads to a "Global Intelligence Crisis," characterized by a significant economic downturn despite technological progress [1][8] - The central thesis posits that if AI continues to exceed expectations but fails to generate income for the majority, it could result in a severe "intelligent deflation crisis" [1][4] Market Conditions - By October 2026, the S&P 500 reached nearly 8000 points, and the Nasdaq surpassed 30,000 points, driven by companies replacing human labor with AI, leading to soaring profits and stock prices [6][13] - The initial layoffs due to AI obsolescence were perceived as a normal adjustment, with widespread belief that AI would create new job opportunities despite the destruction of old ones [6][12] Economic Disruption - The report highlights a significant decline in "human intelligence premium," as AI made human intellect a surplus resource, undermining traditional economic structures like home loans and tax revenues [4][18] - The consumer economy, heavily reliant on white-collar workers, began to falter as these workers were displaced by AI, leading to a structural decline in spending and a spike in unemployment rates, which reached over 10% [11][18] Financial System Breakdown - The mortgage market, valued at $13 trillion, faced instability as high-income white-collar jobs were replaced, leading to a reassessment of prime mortgages and a decline in housing prices in major cities [18][19] - The interconnected nature of financial systems revealed vulnerabilities, as defaults began to emerge in sectors heavily reliant on white-collar productivity, challenging the assumptions of recurring revenue models [19][20] Consumer Behavior Changes - AI agents began to dominate consumer decision-making, leading to the collapse of traditional business models that relied on consumer inertia and friction, such as travel booking platforms and subscription services [32][55] - The average customer lifetime value in subscription economies declined as AI agents negotiated better deals, fundamentally altering the dynamics of consumer transactions [54][55] Implications for Investment - The report suggests that business models dependent on intermediaries and transaction fees may face permanent valuation adjustments as AI continues to optimize processes and eliminate costs [6][44] - Companies that were once resistant to technological disruption became aggressive adopters of AI, leading to a self-reinforcing cycle of job cuts and increased investment in AI capabilities [27][28] Societal Considerations - The report raises critical questions about the future of wealth distribution in a scenario where AI generates significant economic output without human involvement, leading to potential societal challenges [6][8] - It emphasizes the need for a rethinking of economic systems to address the implications of "ghost GDP," where wealth generated by machines does not circulate through the human economy [18][19]

Close-up of logo at headquarters of software company Servicenow, Pleasanton, California, July 2, 2019. (Photo by Smith Collection/Gado/Getty Images)Gado via Getty ImagesServiceNow (NOW) stock has decreased by 23.6% over the course of 21 trading days. This recent decline has raised renewed concerns regarding ServiceNow's subscription growth forecast and broader fears about AI disruption in SaaS. However, sharp declines like this often prompt a more difficult question: is the weakness temporary or indicative ...

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 来源|New Economist微信公众号 《2028年全球智力危机》 编者按：研究机构Citrini Research近期发布了一份关于人工智能经济风险的假设性报告，引发了市场广 泛关注和讨论。报告原标题为《2028全球智能危机——来自未来的金融史思想实验》（THE 2028 GLOBAL INTELLIGENCE CRISIS： A Thought Exercise in Financial History， from the Future），该报告 明确声明其唯一目的是模拟一个相对未被充分研究的情景，是一个"思想实验"而非预测。 报告设定了一个假想的时间点——2028年6月，并描绘了人工智能（AI）快速发展可能引发的连锁经济 危机。报告提出了几个核心概念： "AI效率悖论"：AI的成功可能导致经济不稳定。其推演的核心风险链条包括：白领大规模失业：AI替 代复杂白领劳动，导致"智能溢价"消失，中产阶层收入结构受损。 "幽灵GDP"与消费萎缩：即企业利润因AI增效而增长，但被替代的劳动力消费能力下降，货币流通速度 放缓，形成"产出增长 ...

分享 reface 前⾔ at if our AI bullishness continues to be right...and what if that's actually bearish? 果我们的对 AI 的乐观持续正确……而这反而成了利空，会怎样？ at follows is a scenario, not a prediction. This isn't bear porn or AI doomer fan-fiction. e sole intent of this piece is modeling a scenario that's been relatively underexplored. Our nd Alap Shah posed the question, and together we brainstormed the answer. We wrote this t, and he's written two others you can find here. 下情景为设想，而非预测。这并非唱空轰动或人工智能末日主义同人文。本文唯一 的，是对一个相对较少被探讨的情景进行建模。我 ...