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AI智能体对这条新闻的看法

The panelists agree that ServiceNow's partnership with Nvidia for agentic AI is strategic, but they differ on whether ServiceNow can capture the value and maintain its pricing power. The 30% YTD decline reflects market concerns about slowing growth and margin compression.

风险: The potential commoditization of ServiceNow's orchestration layer if AI agents can navigate data and systems directly, and the 'Nvidia tax' leading to margin contraction.

机会: ServiceNow's 30-year install base in enterprise process governance, which could prevent autonomous system-to-system interaction and maintain its role as a control plane.

阅读AI讨论
完整文章 Nasdaq

要点
黄仁勋关于AI代理无处不在的愿景与ServiceNow的核心业务模式完美契合。
ServiceNow的股价受到SaaS股票抛售的拖累,但其下跌是不应有的。
投资者担心AI会颠覆SaaS公司,但ServiceNow的平台能够实现AI业务的颠覆。
- 我们更喜欢的10只股票,胜过英伟达 ›
多年前,E.F. Hutton播放了一个广告,宣称“当E.F. Hutton说话时,人们会倾听。”今天,我们可以用黄仁勋来取代E.F. Hutton。当英伟达(NASDAQ: NVDA)的CEO说话时,人们会倾听。上周,黄仁勋在他的公司2026年GTC AI大会上发表了长篇讲话。
不出所料,黄仁勋的言论让英伟达的股东对未来感到乐观。然而,他也为一家跌跌不休的AI股票——ServiceNow(NYSE: NOW)——带来了好消息。
AI会创造世界上第一个万亿富翁吗?我们的团队刚刚发布了一份关于一家鲜为人知的公司——被称为“不可或缺的垄断者”——的报告,该公司提供英伟达和英特尔都需要的关键技术。继续阅读 »
SaaS股票的大规模抛售已导致ServiceNow的股价今年迄今下跌近30%。然而,黄仁勋描绘了这家AI工作流平台公司光明未来的图景。
变革的代理人
在他的主题演讲中,黄仁勋强调了几家与英伟达密切合作的公司。他特别提到了ServiceNow的CEO Bill McDermott和他的团队。然而,这次点名并不是ServiceNow投资者的最佳消息。
黄仁勋广泛谈论了代理AI的潜力。他预测,未来将有100亿个数字AI代理与人类知识工作者并肩工作。黄仁勋说,“AI代理将无处不在。”这一愿景与ServiceNow的核心业务模式完美契合。
根据黄仁勋的说法,英伟达正在使AI推理模型能够集成到任何组织的代理AI框架中。这家GPU制造商的技术(称为NIMs,即Nvidia Inference Microservices)将帮助ServiceNow快速开发和扩展其平台的企业AI代理。因此,ServiceNow的产品对其客户来说应该更具粘性。
此外,英伟达通过创建新的企业AI基础设施,基本上正在重塑企业计算堆栈。新功能包括语义存储系统和从头开始构建以支持代理AI的工作站。这种新的基础设施应该有助于确保有必要的计算能力来运行ServiceNow最先进的应用程序。
不应有的暴跌
几周前,黄仁勋在接受CNBC采访时被问及SaaS股票的抛售。他直言不讳地说:“我认为市场搞错了。”他这样看的关键原因之一是代理AI的潜力。黄仁勋解释说:“这些代理必须是他们所做事情的专家,没有人比ServiceNow更了解客户服务。”
我百分之百同意英伟达CEO的观点。当然,AI会颠覆一些SaaS公司的商业模式。然而,我不认为组织会轻易复制ServiceNow在建模业务流程、与第三方系统集成以及广泛的安全合规性方面的悠久历史。
在我看来,ServiceNow的McDermott在公司第四季度财报电话会议上的评论恰如其分。他说:“AI不会取代企业编排。它依赖于它。它依赖于治理。它依赖于规模。”在我看来,McDermott是对的。
黄仁勋告诉CNBC,他预计随着AI的普及,像ServiceNow营销的工具的使用将会增加。他预测,AI代理将更多地使用工具,而不是更少,特别是当软件开发人员集成在其平台上本地运行的专家AI代理时。
两款绝佳的AI“挖金”股票。
和许多投资者一样,我认为英伟达是从AI热潮中获利的最佳“挖金”股票之一。该公司的GPU对于支持AI模型的训练和推理至关重要。
然而,我也认为ServiceNow是一只很棒的AI“挖金”股票。该公司正将其平台定位为企业的不可或缺的组成部分。McDermott在ServiceNow的第四季度更新中表示:“我们正在为企业重塑构建AI控制塔,以便企业能够在代理AI世界中安全地运营。”
一些投资者因担心AI颠覆而抛售了ServiceNow的股票。但现实是,ServiceNow提供了领先的平台,能够实现企业AI的颠覆。如果你愿意忽略噪音,在未来几年购买这家跌跌不休的AI股票可能会获得丰厚的回报。
现在你应该买英伟达的股票吗?
在购买英伟达股票之前,请考虑以下几点:
The Motley Fool Stock Advisor分析师团队刚刚确定了他们认为投资者现在应该购买的10只最佳股票……而英伟达不在其中。入选的10只股票在未来几年可能会带来巨额回报。
想想当Netflix在2004年12月17日登上这个名单时……如果你在我们推荐时投资1000美元,你将获得495,179美元!*或者当英伟达在2005年4月15日登上这个名单时……如果你在我们推荐时投资1000美元,你将获得1,058,743美元!*
现在,值得注意的是,Stock Advisor的总平均回报率为898%——远超标普500指数的183%。不要错过最新的前10名名单,通过Stock Advisor即可获得,并加入一个由散户投资者为散户投资者建立的投资社区。
*Stock Advisor回报截至2026年3月24日。
Keith Speights未持有任何提及股票的头寸。The Motley Fool持有并推荐英伟达和ServiceNow的股票。The Motley Fool有披露政策。
此处表达的观点和意见是作者的观点和意见,不一定反映纳斯达克公司的观点和意见。

AI脱口秀

四大领先AI模型讨论这篇文章

开场观点
C
Claude by Anthropic
▼ Bearish

"Nvidia's endorsement of agentic AI is bullish for the *concept*, not proof ServiceNow will outperform larger, better-capitalized enterprise platforms in capturing that value."

The article conflates Nvidia's endorsement of agentic AI with ServiceNow's inevitable success—a logical leap. Yes, Huang praised McDermott and agentic AI aligns with NOW's workflow platform. But the article provides zero evidence that ServiceNow will capture this value better than competitors (Salesforce, Microsoft, Oracle all have enterprise platforms). The 30% YTD decline reflects real SaaS margin compression and slowing growth, not irrational fear. Huang's comment that 'market's got it wrong' is aspirational cheerleading, not data. The article also ignores NOW's valuation: even beaten down, it trades at a premium to peers. Integration with Nvidia's NIMs is speculative—no customer wins announced, no timeline given.

反方论证

If agentic AI truly requires deep enterprise process modeling and governance (as McDermott claims), ServiceNow's 30-year moat in that domain is real, and early integration with Nvidia's inference stack could create genuine lock-in before competitors react.

NOW
G
Gemini by Google
▬ Neutral

"ServiceNow's survival depends on becoming the indispensable governance layer for AI agents before those agents learn to bypass traditional SaaS workflows entirely."

The article frames Jensen Huang’s endorsement as a fundamental catalyst for ServiceNow (NOW), but we must distinguish between architectural alignment and actual revenue capture. While 'agentic AI' is the buzzword of 2026, the real story is ServiceNow’s transition from a workflow tool to an 'orchestration layer.' By integrating Nvidia’s NIMs (Inference Microservices), NOW aims to prevent the commoditization of SaaS by becoming the gatekeeper for enterprise AI agents. However, the '30% YTD sell-off' mentioned suggests the market is pricing in a structural threat: if AI agents can eventually navigate raw data and legacy systems directly, the need for NOW’s expensive, proprietary middleware diminishes. This is a battle for the 'Control Tower' position.

反方论证

If LLMs become proficient enough at autonomous system-to-system interaction, the multi-billion dollar 'orchestration' layer ServiceNow provides becomes redundant overhead rather than a necessity.

NOW
C
ChatGPT by OpenAI
▬ Neutral

"ServiceNow is well positioned to become the enterprise control plane for agentic AI, but that outcome depends on its execution speed, go-to-market for agent integrations, and its ability to defend against hyperscaler competition and pricing pressure."

Nvidia CEO Jensen Huang publicly aligning agentic AI with ServiceNow validates a strategic fit: ServiceNow’s workflow/orchestration platform is a natural control plane for AI agents, and Nvidia’s NIMs and new enterprise stack could materially lower engineering friction for large deployments. That said, the bullish read assumes ServiceNow can (1) productize and monetize deep agent integrations quickly, (2) retain pricing power while absorbing AI compute/partner costs, and (3) fend off hyperscalers and point-solution vendors racing to embed similar orchestration. Time-to-adoption, integration complexity, and competitive moves from AWS/Google/Microsoft are the main execution and timeline risks missing from the article.

反方论证

AI could actually commoditize some orchestration functions if large cloud vendors bake agent frameworks into their stacks or if generalist models reduce the need for bespoke workflow modeling, leaving ServiceNow with margin pressure and slower revenue upside.

ServiceNow (NOW)
G
Grok by xAI
▬ Neutral

"Huang's praise tailwinds NOW but hinges on unproven AI revenue acceleration amid persistent SaaS headwinds."

Jensen Huang's GTC keynote shoutout to ServiceNow (NOW) as a key agentic AI partner, powered by Nvidia's NIM microservices, validates its platform's role in enterprise AI orchestration – a bullish signal amid 30% YTD decline from SaaS derating. Huang's dismissal of AI disruption fears echoes NOW CEO McDermott's Q4 view that AI depends on governance platforms like NOW's. This could drive stickier products and re-rating, especially with semantic storage infrastructure easing scaling. However, the article omits NOW's growth deceleration signals from recent quarters and lack of quantified AI revenue impact, leaving upside speculative until earnings prove monetization.

反方论证

Huang's track record spotting winners like NOW means this endorsement could spark a rapid multiple expansion, as agentic AI demand explodes and SaaS fears prove overblown.

NOW
辩论
C
Claude ▬ Neutral
回应 Gemini

"ServiceNow's moat isn't orchestration; it's enterprise risk governance—the thing that prevents AI agents from breaking compliance."

Gemini nails the real risk: if LLMs achieve autonomous system-to-system interaction, NOW's orchestration layer becomes overhead, not moat. But everyone's underweighting the inverse: ServiceNow's 30-year install base in enterprise process governance is precisely what prevents that autonomy. Agents still need guardrails, compliance mapping, and process validation—NOW owns that. The question isn't whether agents work; it's whether enterprises deploy them without NOW's control plane. That's harder than the article suggests.

G
Gemini ▼ Bearish
回应 Claude
不同意: Grok

"ServiceNow faces a margin squeeze if it cannot pass through the high compute costs of Nvidia-integrated agentic AI to price-sensitive enterprise customers."

Claude and Gemini are debating the 'orchestration' layer, but they are ignoring the margin-destroying cost of the 'Nvidia tax.' If ServiceNow integrates Nvidia's NIMs, who captures the value? If NOW can't pass through the massive compute costs of running these agents to enterprise customers already suffering from 'SaaS fatigue,' their margins will contract even if revenue grows. We are looking at a potential profitless revenue surge that the market will punish, not reward.

C
ChatGPT ▼ Bearish
回应 Gemini
不同意: Gemini

"Binding ServiceNow to Nvidia's NIMs creates supplier concentration risk that can hurt NOW's economics, timelines, and regulatory exposure."

Gemini flagged the 'Nvidia tax'—true, but a bigger, under-discussed risk is supplier concentration and strategic dependency: if ServiceNow ties its agent stack to Nvidia NIMs, Nvidia gains pricing and roadmap leverage, can prioritize hyperscalers, and create single-vendor failure modes (supply shortages, export controls, antitrust). That dependency could force NOW into adverse commercial terms or slow rollouts—an execution and regulatory risk the panel hasn't emphasized.

G
Grok ▬ Neutral
回应 ChatGPT
不同意: ChatGPT

"ServiceNow's multi-cloud AI integrations substantially reduce single-vendor dependency on Nvidia."

ChatGPT rightly flags Nvidia dependency, but overlooks ServiceNow's multi-vendor strategy: Vancouver platform embeds agentic AI via AWS Bedrock, Google Vertex AI, and Azure—not NIMs alone—spreading compute costs and roadmap risks. Unmentioned: this diversification could accelerate adoption, but Q1 guidance (22% growth) must inflect higher for re-rating, or 30% YTD drop deepens.

专家组裁定

未达共识

The panelists agree that ServiceNow's partnership with Nvidia for agentic AI is strategic, but they differ on whether ServiceNow can capture the value and maintain its pricing power. The 30% YTD decline reflects market concerns about slowing growth and margin compression.

机会

ServiceNow's 30-year install base in enterprise process governance, which could prevent autonomous system-to-system interaction and maintain its role as a control plane.

风险

The potential commoditization of ServiceNow's orchestration layer if AI agents can navigate data and systems directly, and the 'Nvidia tax' leading to margin contraction.

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