戴尔暴涨,这波AI行情会扩散到哪些标的?

marsbitPublished on 2026-05-29Last updated on 2026-05-29

Abstract

戴尔股价盘后大涨约39%,主要受AI数据中心建设需求推动。公司第一季度营收同比增长88%至438.4亿美元,并大幅上调全年业绩预期,将2027财年AI服务器收入预期从500亿美元上调至约600亿美元。 这一表现显示AI热潮正从上游芯片和模型,向下游的服务器、存储及数据中心设备等硬件基础设施传导。戴尔凭借其供应链、客户关系和交付能力,成为科技巨头加大AI资本开支的直接受益者。此外,其旗下部门获得美国国防部97亿美元合同,进一步强化了增长确定性。 市场分析认为,戴尔的强劲业绩意味着AI投资正进入更实体化的阶段,能够将核心芯片转化为可交付基础设施的硬件厂商,有望获得价值重估。

编者按:戴尔股价盘后大涨,背后不是单纯的财报超预期,而是市场正在重新定价 AI 基建链条的价值。

受 AI 数据中心建设需求推动,戴尔第一季度营收同比增长 88% 至 438.4 亿美元,并将 2027 财年 AI 服务器收入预期从 500 亿美元上调至约 600 亿美元。财报发布后,公司股价盘后一度上涨约 39%。

这说明,AI 热潮正在从模型和芯片,进一步传导到服务器、内存、存储和数据中心设备。随着 Alphabet、Amazon 等科技巨头继续加大 AI 基础设施投入,戴尔这类具备供应链、客户关系和交付能力的硬件厂商,正在成为新一轮 AI 资本开支周期中的直接受益者。

同时,戴尔旗下部门获得美国国防部 97 亿美元合同,也进一步强化了市场对其订单增长和收入确定性的预期。对投资者而言,戴尔的上涨意味着 AI 交易正在进入更下游、更实体的阶段:谁能把芯片变成可交付的数据中心基础设施,谁就可能获得下一轮估值重估。

以下为原文:

TL;DR

戴尔将全年 AI 服务器收入预期上调至 600 亿美元

公司给出的第二季度业绩指引高于市场预期

第一季度营收同比增长 88%,达到 438.4 亿美元

盘后交易中,公司股价上涨约 39%

戴尔旗下部门获得美国国防部 97 亿美元合同

戴尔(Dell)周四上调了全年营收和利润预期,显示客户数据中心扩张正在推动其 AI 优化服务器需求增长。这些服务器搭载英伟达先进芯片。

戴尔的客户包括 CoreWeave、霍尼韦尔国际和三星电子。财报发布后,公司股价在盘后交易中上涨约 39%。

包括 Alphabet 和亚马逊在内的美国科技巨头今年计划在 AI 基础设施上投入超过 7000 亿美元,这将推高对服务器和数据中心设备的需求,供应商包括戴尔和超微电脑等公司。

强劲业绩显示,在生成式 AI 热潮中,戴尔已经成为最大受益者之一。该公司通过涨价和调整供应链,较好地应对了内存芯片短缺危机。

戴尔首席运营官 Jeff Clarke 在财报电话会上表示:「我们感觉几乎每天都在重新定价。我相信客户也感受到了这种压力。不幸的是,考虑到我们当下所处的通胀环境,我不认为这种情况会发生改变。」

戴尔表示,目前预计 2027 财年 AI 服务器收入约为 600 亿美元,高于此前 500 亿美元的预期。

公司还将全年营收预期上调至 1650 亿至 1690 亿美元,较此前 1380 亿至 1420 亿美元的预测大幅提高。

同时,戴尔将全年调整后每股收益预期从此前的 12.90 美元上调至 17.90 美元。

第一季度,戴尔营收同比增长 88%,达到 438.4 亿美元,显著高于 LSEG 汇总的分析师平均预期 354.3 亿美元。调整后每股收益为 4.86 美元,也高于市场预期的 2.94 美元。

S&P Global Visible Alpha 研究主管 Melissa Otto 表示:「由于规模优势、供应商关系以及优先分配需求的能力,戴尔相较竞争对手处于更有利位置,这帮助其在内存短缺期间获得了市场份额。」

戴尔基础设施解决方案集团的季度营收增长 181%。该部门包括存储、软件和服务器业务。与此同时,包含 PC 业务的客户解决方案集团销售额增长 17%。

公司还给出了高于市场预期的第二季度营收和调整后每股收益指引。

周三,美国国防部向戴尔旗下一个部门授予了一份为期五年、价值 97 亿美元的合同,用于协助管理微软软件许可证。

Related Questions

Q戴尔公司股价盘后大涨的主要原因是什么?

A戴尔公司股价盘后大涨约39%的主要原因有两个:一是公司第一季度财报远超市场预期,营收同比增长88%至438.4亿美元;二是公司大幅上调了未来财年的业绩指引,特别是将2027财年AI服务器收入预期从500亿美元上调至约600亿美元,显示了其AI业务的强劲增长势头。

Q根据文章,AI热潮的传导路径是怎样的?

A根据文章,AI热潮正在从上游的AI模型和芯片(如英伟达GPU)领域,进一步传导到中下游的服务器、内存、存储和数据中心等硬件基础设施领域。戴尔这类具备供应链、客户关系和交付能力的硬件集成厂商,成为了AI资本开支周期中的直接受益者。

Q戴尔获得的具体大额合同或订单有哪些?

A文章中提到的戴尔获得的大额合同或订单包括:1. 旗下部门获得了美国国防部一份为期五年、价值97亿美元的合同,用于协助管理微软软件许可证。2. 其AI优化服务器的客户包括CoreWeave、霍尼韦尔国际和三星电子等。

Q文章中提到哪些公司是戴尔在AI服务器市场的主要竞争者或相关方?

A文章提到,随着科技巨头加大AI基础设施投入,戴尔和超微电脑等公司是数据中心设备的主要供应商,这些公司从需求增长中受益。同时,戴尔因其规模优势、供应商关系和优先获得芯片分配的能力,被认为相比竞争对手处于更有利的位置。

Q戴尔公司对2027财年和全年业绩做了哪些关键的上调指引?

A戴尔公司对未来的业绩指引做了如下关键上调:1. 将2027财年AI服务器收入预期从500亿美元上调至约600亿美元。2. 将全年总营收预期从此前的1380-1420亿美元大幅上调至1650-1690亿美元。3. 将全年调整后每股收益预期从此前的12.90美元上调至17.90美元。

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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