MSX US Stock Daily Watch: Meta's Muse Tops App Charts, Nasdaq Hits Record High, AMD Market Cap Surpasses $1 Trillion for the First Time
- Core View: Meta's personal AI agent Muse topped the US app stores, triggering a repricing of market expectations for AI inference computing demand, driving a collective surge in semiconductor stocks including AMD, Intel, and Arm, with the Nasdaq hitting a record high.
- Key Elements:
- On September 21, the Nasdaq rose 2.26% to close at 27,122.09, a record high; Meta gained about 11.4%, AMD rose about 10% with its market cap surpassing $1 trillion for the first time, and Arm gained about 17%.
- Meta launched Muse on September 8, which can perform browser operations, fill out forms, and handle email and travel bookings, with estimated installs of about 1.1 million as of September 18.
- Market logic reassessment: high-frequency, multi-step tasks by personal agents could shift computing demand from model training toward daily inference and task orchestration.
- AMD and Meta expanded their partnership in February this year, planning to deploy up to 6 gigawatts of Instinct GPUs, with the first 1 gigawatt of products expected to ship in the second half of 2026.
- AMD's data center revenue reached $6.7 billion in Q2, up 107% year-over-year, driven by combined demand for EPYC and Instinct.
- From product popularity to chip revenue, retention, paid conversion, and actual procurement volumes still need to be verified — Muse's explosive growth does not equate to confirmed AMD orders.
- Falling oil prices and US Treasury yields on the same day also provided a favorable environment for tech stock gains; the impact of a single product on the market should not be overstated.
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Today's Observation
AI trading has once again become the main theme of the US stock market.
On September 21 local time, the Nasdaq Composite rose 2.26% to close at 27,122.09, a record closing high. Meta gained about 11.4%, AMD rose about 10%, with its market cap surpassing $1 trillion for the first time; Intel and Arm rose about 12% and 17%, respectively. The collective strength in semiconductor stocks came as Meta's personal AI agent Muse quickly climbed to the top of the US app stores.
Muse was not released on September 21. Meta launched the product on September 8, positioning it as a personal AI agent capable of executing tasks on behalf of users. Unlike chatbots that primarily answer questions, Meta says Muse can use a browser, fill out forms, handle emails, or book trips, and continue executing some tasks after the user closes the app; sensitive operations such as sending emails and making payments still require user confirmation.
Less than two weeks after launch, Muse has risen to the top of the free app charts on both the US Apple App Store and Google Play. App data firm Appfigures estimates that as of September 18, Muse had accumulated approximately 1.1 million installs.
The market has thus begun to reassess the computing power demand for AI applications: if personal agents continuously browse the web, invoke tools, and complete multi-step tasks on behalf of users, computing demand may no longer be driven solely by model training, but increasingly by inference and task scheduling during daily use. The gains in AMD, Intel, and Arm that day reflected investors' expectations for this direction.
There is indeed a direct business relationship between AMD and Meta. In February this year, the two companies announced an expansion of their multi-year partnership, planning to deploy up to 6 gigawatts of AMD Instinct GPUs and deepen cooperation on EPYC server CPUs. AMD said products supporting the first 1 gigawatt of deployment are expected to begin shipping in the second half of 2026.
Data in a Minute
• On September 21, the Nasdaq rose 2.26% to close at 27,122.09, a record closing high; the S&P 500 rose 1.49% to close at 7,764.70.
• AMD rose about 10% that day, with its market cap surpassing $1 trillion for the first time; Meta gained about 11.4%, Intel rose about 12%, and Arm rose about 17%.
• Meta released Muse on September 8. It is accessible via a standalone app and WhatsApp, with the product primarily offering free features while also providing a subscription plan for higher usage.
• According to Appfigures estimates, as of September 18, Muse had accumulated approximately 1.1 million installs; it subsequently topped the free charts on both major US mobile app stores. This data was not officially disclosed by Meta.
• The cooperation plan announced by AMD and Meta in February this year involves up to 6 gigawatts of AMD GPUs; products required for the first 1 gigawatt of deployment are expected to begin shipping in the second half of 2026.
• AMD's data center business revenue in the second quarter of this year was $6.7 billion, up 107% year-over-year; the company said the growth was driven by demand for both EPYC processors and Instinct GPUs.
MSX View
What makes Muse noteworthy is not just that Meta has launched another AI application, but that the market sees the possibility of personal AI agents entering mass-use scenarios.
Chatbots typically generate a single response after a user asks a question; personal agents, by contrast, may continuously execute steps such as searching, comparing, filling out forms, invoking applications, and waiting for confirmation in order to accomplish a goal. If users truly develop high-frequency usage habits, the computing resources consumed per task could be higher than a single ordinary conversation. This is why investors are refocusing on AI inference infrastructure.
But from product popularity to chip revenue, there are still several links that need to be verified.
The first is retention. Topping the free app charts proves users are willing to try it, but does not mean they will still use it daily weeks later. Meta has a massive app distribution channel, and initial downloads may scale up rapidly; what better demonstrates the product's value is whether users continue to entrust real tasks such as shopping, scheduling, and emails to Muse.
The second is monetization. Muse currently focuses on free features, and Meta plans to offer higher usage through subscriptions. Whether user growth will bring revenue depends on paid conversion and per-user usage intensity. If task volume grows quickly but the operating cost per task is higher, an expanding user base may not immediately improve profits.
Chip demand comes last. AI agents need GPUs for model inference and also need CPUs to handle system operations and task scheduling; but the specific procurement volume depends on how Meta optimizes models, allocates workloads, and uses existing equipment. Muse's explosive popularity and AMD's rally occurred in the same market cycle, which does not mean Muse has directly created a confirmed AMD order of a specific amount.
AMD's investment logic therefore has both a realistic basis and future expectations. The realistic basis is that its data center business grew 107% year-over-year last quarter, and it has already established cooperation with Meta at the GPU, CPU, and system levels; the future expectation is that if AI agents like Muse achieve long-term, high-frequency use, Meta may need to deploy more computing power. The former is already reflected in financial reports and cooperation announcements, while the latter still needs to be verified by delivery, revenue, and usage data.
The Nasdaq hitting a record high shows that the market is once again willing to price in the spread of AI applications and the upstream computing power demand. However, the same-day decline in oil prices and US Treasury yields also provided a favorable environment for tech stocks to rise. Explaining the entire market cycle as "one app driving all chip stocks" would overestimate the immediate impact of a single product on the market.
What investors should further confirm next is not only whether Muse can continue to top the download charts, but also whether Meta discloses sustained active user and paid data, whether the usage cost of AI agents can decline, and whether the existing cooperation between AMD and Meta can be converted into product deliveries and data center revenue as planned — these are the keys to whether this round of AI narrative can truly translate into sustained performance.
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Risk Disclaimer: Macroeconomic conditions and the US stock market are subject to sharp fluctuations. The content of this article is intended solely for academic and research observation reference by the MSX Research Institute and does not constitute any investment advice.
