Lễ hội chip đang hạ nhiệt? M. Wilson từ Morgan Stanley: Tiền đang chuyển hướng sang các đại gia siêu máy tính AI như Microsoft, Amazon

链捕手Published on 2026-07-06Last updated on 2026-07-06

Abstract

Thị trường chứng khoán Mỹ khó có thể lập đỉnh mới trong ngắn hạn. Theo Michael Wilson, chiến lược gia tại Morgan Stanley, dòng tiền đang dịch chuyển khỏi các cổ phiếu bán dẫn vốn tăng mạnh từ đầu năm để chuyển sang các công ty siêu máy chủ AI (hyperscalers) như Microsoft, Amazon và Meta. Chỉ số Philadelphia Semiconductor đã giảm gần 14% so với đỉnh lịch sử hồi tháng trước, cho thấy động lực của ngành bán dẫn đang suy yếu do áp lực định giá. Trong khi đó, nhóm cổ phiếu siêu máy chủ được cho là có không gian tăng giá bù đắp, dù họ có thể điều chỉnh kế hoạch chi tiêu vốn. Wilson cũng dự đoán sự luân chuyển tiền có thể mở rộng sang các lĩnh vực khác như hàng tiêu dùng không thiết yếu, vận tải và công nghệ sinh học. Chiến lược gia Mislav Matejka của JPMorgan cũng đồng quan điểm, cho rằng đà tăng thị trường sẽ mở rộng ra ngoài lĩnh vực công nghệ trong nửa cuối năm. Wilson duy trì mục tiêu chỉ số S&P 500 ở mức 8000 điểm vào cuối năm, ngụ ý tiềm năng tăng khoảng 7% từ mức hiện tại, nhưng cảnh báo về rủi ro biến động trong ngắn hạn.

Tác giả: Bố Thục Tình, Phố Wall Thấy và Nghe

Thị trường chứng khoán Mỹ khó có thể lập đỉnh mới trong ngắn hạn, khi vốn đang chảy ra khỏi các cổ phiếu bán dẫn tăng mạnh nhất trong năm và chuyển hướng sang các nhà cung cấp dịch vụ điện toán đám mây siêu quy mô (hyperscalers) AI.

Michael Wilson, chiến lược gia trưởng về cổ phiếu tại Morgan Stanley, chỉ ra trong báo cáo mới nhất rằng động lực của ngành bán dẫn đang suy giảm, và nhà đầu tư bắt đầu chuyển sang các đại gia siêu máy tính AI có hiệu suất kém hơn trong năm nay, bao gồm Microsoft, Amazon và Meta.

Ông cho rằng, vòng xoay luân chuyển này diễn ra trong bối cảnh thị trường chứng khoán tổng thể dao động yếu, khiến các chỉ số chính tiếp tục chịu áp lực. Wilson đồng thời duy trì mục tiêu giá cuối năm cho S&P 500 ở mức 8000 điểm, cho thấy khoảng không gian tăng trưởng còn lại khoảng 7% so với mức hiện tại.

Tác động trực tiếp của nhận định này lên thị trường là: Các cổ phiếu chip vốn dẫn đầu làn sóng AI trước đó đối mặt với áp lực định giá, trong khi các đại gia siêu máy tính với hoạt động kinh doanh cốt lõi mạnh mẽ có khả năng trở thành điểm đặt chân mới của dòng vốn. Đồng thời, Mislav Matejka, chiến lược gia tại JPMorgan Chase, cũng có quan điểm tương tự, cho rằng đà tăng của thị trường sẽ lan tỏa ra ngoài nhóm ngành công nghệ vào nửa cuối năm.

Động lực chip suy giảm, áp lực định giá hiện rõ

Chỉ số Philadelphia Semiconductor Index (SOX) đã giảm gần 14% kể từ khi lập đỉnh lịch sử vào tháng trước, trong khi lo ngại về bong bóng định giá tiếp tục gia tăng. Tuy nhiên, chỉ số này vẫn tăng tích lũy 123% kể từ tháng 9 năm ngoái, cho thấy mức tăng trước đó là rất lớn.

Dự báo doanh thu vượt kỳ vọng do Micron Technology công bố vào tháng trước đã không thể thúc đẩy cổ phiếu chip tiếp tục tăng cao, điều này càng củng cố thêm về sự suy giảm động lực của ngành. Hiện tại, các nhà đầu tư đang chờ đợi thông tin từ Nvidia và các công ty khác để có thêm manh mối về nhu cầu chip AI.

Wilson chỉ ra rằng, sự tan rã động lực đang xảy ra ở những công ty có trọng số lớn trong chỉ số, điều này sẽ khiến các chỉ số chuẩn chính của Mỹ tiếp tục chịu áp lực trong ngắn hạn. Chỉ số S&P 500 đã dần giảm sau khi chạm đỉnh vào đầu tháng 6.

Các đại gia siêu máy tính: Khu vực giá trị thấp trong hệ sinh thái AI

Wilson cho biết, ông có xu hướng ưa chuộng các đại gia siêu máy tính hơn là các cổ phiếu liên quan đến bán dẫn trong thời gian gần đây. Ông tin rằng, các công ty như Microsoft, Amazon, Meta có sức hút trong hệ sinh thái AI, cốt lõi nằm ở việc hoạt động kinh doanh cơ bản mạnh mẽ của họ cung cấp sự hỗ trợ vững chắc.

Ngược lại, theo dữ liệu của Bloomberg, rổ cổ phiếu các đại gia siêu máy tính do UBS Group biên soạn đã giảm tích lũy 2% kể từ tháng 9 năm ngoái, tạo nên sự tương phản rõ rệt với mức tăng của nhóm bán dẫn và cũng cho thấy nhóm này có không gian tăng bù tương đối.

Tuy nhiên, Wilson đồng thời dự đoán, các đại gia siêu máy tính có thể bắt đầu hạ thấp kỳ vọng về kế hoạch chi tiêu vốn của họ, để đáp lại những lo ngại gần đây của thị trường về việc đầu tư quá mức vào AI. Triển vọng chi tiêu vốn sẽ trở thành chủ đề cốt lõi mà các nhà đầu tư quan tâm trong giai đoạn tiếp theo.

Phạm vi luân chuyển mở rộng, cơ hội ngoài công nghệ xuất hiện

Logic luân chuyển của Wilson không chỉ giới hạn trong nhóm siêu máy tính. Ông cũng lạc quan rằng các nhóm ngành tiêu dùng tự chọn, vận tải và công nghệ sinh học sẽ hưởng lợi từ dòng tiền chảy ra khỏi cổ phiếu chip.

Chiến lược gia Mislav Matejka từ JPMorgan có quan điểm nhất trí với Wilson, cho rằng đà tăng của thị trường sẽ mở rộng ra ngoài nhóm ngành công nghệ vào nửa cuối năm. "AI khó có thể là câu chuyện duy nhất trên thị trường," Matejka viết trong báo cáo nghiên cứu.

Đáng chú ý, Wilson trước đây đã dự đoán chính xác rằng thị trường chứng khoán Mỹ sẽ duy trì sức mạnh dựa trên lợi nhuận doanh nghiệp mạnh mẽ giữa các rủi ro địa chính trị, điều này làm tăng thêm giá trị tham khảo cho nhận định hiện tại của ông. Mục tiêu giá cuối năm S&P 500 ở mức 8000 điểm của ông có nghĩa là vẫn còn khoảng 7% tiềm năng tăng từ mức hiện tại, nhưng rủi ro biến động ngắn hạn không thể xem nhẹ.

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Related Questions

QMichael Wilson, chiến lược gia tại Morgan Stanley, đưa ra nhận định gì về dòng tiền trên thị trường chứng khoán Mỹ?

AMichael Wilson cho rằng dòng tiền đang chảy ra khỏi các cổ phiếu bán dẫn - vốn tăng mạnh nhất từ đầu năm, và dịch chuyển sang các công ty siêu máy tính AI (AI hyperscalers) như Microsoft, Amazon và Meta.

QChỉ số nào cho thấy động lực của ngành bán dẫn đang suy giảm và mức điều chỉnh là bao nhiêu?

AChỉ số Philadelphia Semiconductor Index (SOX) đã giảm gần 14% kể từ khi đạt đỉnh lịch sử vào tháng trước, cho thấy động lực đang suy yếu.

QTheo Wilson, tại sao các công ty siêu máy tính AI như Microsoft, Amazon, Meta lại hấp dẫn nhà đầu tư lúc này?

AWilson cho rằng họ hấp dẫn vì có nghiệp vụ cốt lõi mạnh mẽ làm nền tảng vững chắc trong hệ sinh thái AI, đồng thời nhóm cổ phiếu này đã tụt hậu so với đà tăng của bán dẫn, tạo ra không gian bù đắp tương đối.

QNgoài các công ty siêu máy tính AI, Michael Wilson còn đề xuất những lĩnh vực nào có thể hưởng lợi từ làn sóng luân chuyển vốn?

AÔng Wilson còn lạc quan về các lĩnh vực có thể hưởng lợi bao gồm hàng tiêu dùng không thiết yếu (consumer discretionary), vận tải (transportation) và công nghệ sinh học (biotech).

QMục tiêu giá chỉ số S&P 500 cuối năm của Michael Wilson là bao nhiêu và ý nghĩa mức tăng tiềm năng là gì?

AMichael Wilson duy trì mục tiêu giá S&P 500 cuối năm ở mức 8000 điểm. Mức này cho thấy tiềm năng tăng khoảng 7% từ mức giá hiện tại, mặc dù ông cũng cảnh báo về rủi ro biến động trong ngắn hạn.

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This adaptability is paramount for sustaining relevance in the ever-changing crypto landscape. Community Engagement: The project emphasises community-driven initiatives, employing mechanisms that incentivise collaboration and feedback. By nurturing a strong community, SPERO,$$s$ can better address user needs and adapt to market trends. Focus on Inclusion: By offering low transaction fees and user-friendly interfaces, SPERO,$$s$ aims to attract a diverse user base, including individuals who may not previously have engaged in the crypto space. This commitment to inclusion aligns with its overarching mission of empowerment through accessibility. Timeline of SPERO,$$s$ Understanding a project's history provides crucial insights into its development trajectory and milestones. Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

104 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. 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.

771 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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