Meta’s Muse AI Agent Drives a New CPU Boom Across AMD, Intel and Arm

Agentic AI Expands the Market’s Focus Beyond GPUs

Meta Platforms (META) rallied nearly 9% Monday as the early adoption of its Muse AI assistant fueled a wider reassessment of the infrastructure required to run autonomous AI agents. Advanced Micro Devices (AMD), Intel (INTC) and Arm Holdings (ARM) were among the biggest beneficiaries.

Unlike conventional chatbots that primarily respond to individual prompts, Muse can operate through its own cloud-based computer, control a browser and continue multi-step tasks in the background. That model requires CPUs for operating systems, orchestration, data movement and persistent workloads alongside the accelerators used to run AI models.

Key Points

• Meta’s Muse AI agent helped drive a sharp rally in CPU-related stocks, with Arm up roughly 15%, Intel nearly 14% and AMD about 9%.
• Muse’s ability to perform autonomous, persistent tasks is drawing attention to CPUs because agentic AI requires general-purpose processing alongside AI accelerators.
• Muse has shown rapid early adoption, but Meta has not identified AMD, Intel or Arm as infrastructure suppliers for the service, leaving the direct revenue connection unproven.

Muse Shifts the AI Infrastructure Conversation Toward CPUs

Much of the AI infrastructure discussion has centered on accelerators used for training models and running inference, the process of using a trained AI model to produce results. Muse is drawing attention to another part of that computing stack.

Autonomous agents can remain active beyond a single query. Muse operates through a virtual computer that can browse, execute tasks and continue working after the user closes the application. Those activities require general-purpose processing to manage applications, operating systems, data and workflows surrounding the AI model.

That helps explain why Monday’s semiconductor rally was concentrated in CPU-related companies. Intel shares rose nearly 14%, Arm gained about 15% and AMD advanced roughly 9%. By comparison, the iShares Semiconductor ETF (SOXX) gained about 4%.

Intel CEO Lip-Bu Tan said last week that the company can currently satisfy only about 50% of customer chip demand. Arm has estimated that the server CPU market could grow at more than 35% annually to $120 billion by 2030, while AMD projects server CPUs could grow 50% through 2030, creating a $220 billion revenue opportunity.

AMD participates on both sides of the infrastructure equation through its EPYC server processors and Instinct AI accelerators. Its data-center revenue increased 107% year over year to $6.7 billion in the second quarter, while total revenue increased 50% to $11.5 billion.

Why Did AMD, Intel and Arm Stocks Surge?

The catalyst was not a new chip announcement or disclosed purchase order from Meta. Instead, investors reacted to Muse’s early consumer adoption and what persistent AI agents could mean for future computing requirements.

Muse has been the most downloaded free iPhone application in the U.S. for three consecutive days, according to Sensor Tower data cited in the supplied material. The app recorded 264,000 U.S. downloads on September 19, its third consecutive day above 200,000 downloads.

Daily active users reached 448,000 on September 18, just 10 days after launch. The supplied data compares that trajectory with ChatGPT, which took 49 days to reach 450,000 daily active users in the U.S.

The market reaction spread beyond the chipmakers. Meta shares gained nearly 9% as investors responded to Muse’s adoption, while the broader Nasdaq-100 was up about 2%.

AMD’s rally pushed its market capitalization above $1 trillion for the first time in intraday trading. The stock also reached an all-time high during Monday’s session.

Arm’s business model gives it a different connection to expanding CPU demand. The company licenses processor architecture and receives royalties tied to partner designs and shipment volumes. A larger server-computing market could therefore expand the addressable opportunity, although increased AI activity does not automatically translate into Arm revenue.

For Intel, the renewed focus is on its x86 CPU business and the general-purpose processing needed for inference, data orchestration and other AI-related workloads.

What Matters Next for the Agentic AI Trade?

The central question is whether Muse’s early adoption develops into sustained usage and, in turn, measurable infrastructure demand.

Meta has not disclosed which CPU architecture or suppliers are powering Muse, and the company has not identified AMD, Intel or Arm as direct Muse suppliers. Monday’s stock moves therefore reflect expectations about broader computing demand rather than announced Muse-related revenue for those chipmakers.

There are also questions around how widely autonomous agents will be allowed to operate across third-party platforms. Amazon.com (AMZN) has blocked Muse from making purchases on its site, saying Meta had not informed it about plans to give the agent access to the platform. Amazon asked Meta to remove its service from the Muse experience.

Meta’s distribution could nevertheless provide an important test of consumer adoption for autonomous agents. KeyBanc analyst Justin Patterson said Meta’s distribution and data provide Muse with an advantage, while identifying an audience in the hundreds of millions of monthly, daily or weekly users as a measure of potential success.

Attention now turns to Meta Connect on Wednesday, where CEO Mark Zuckerberg is scheduled to deliver the keynote. The supplied material says analysts expect product demonstrations involving Muse and its underlying Muse Spark models, along with commentary about early consumer use cases.

For the semiconductor companies, the longer-term evidence would come from actual deployments and financial results rather than app downloads alone. That includes CPU installations, accelerator demand, shipment volumes and data-center revenue associated with expanding AI workloads.

What It Means for Investors

Monday’s price action broadens the market’s AI infrastructure narrative beyond the accelerators that have dominated much of the sector’s attention.

Muse illustrates why agentic AI could require a wider computing stack. Persistent agents need accelerators to run AI models, but they also require CPUs to coordinate applications, move data and manage continuous background workloads.

That explains why AMD, Intel and Arm substantially outpaced the broader semiconductor ETF during Monday’s session. Investors were responding to the possibility that wider adoption of autonomous agents could increase demand for general-purpose processing alongside accelerated computing.

There is an important distinction between that broader demand thesis and company-specific revenue, however. Meta has not identified any of the three companies as Muse suppliers.

AMD enters the discussion with existing data-center momentum, including second-quarter data-center revenue growth of 107%. Intel has highlighted demand it currently cannot fully satisfy, while Arm has outlined a rapidly expanding server CPU market.

The next evidence will come from whether Muse maintains its early user growth and whether expanding agentic workloads eventually become visible in chip deployments, utilization and semiconductor company revenue.

Conclusion

Meta’s Muse launch is changing how investors are looking at the hardware behind artificial intelligence.

The rapid early adoption of an AI agent capable of executing persistent, multi-step tasks has brought CPUs back into focus alongside GPUs and other accelerators. That shift helped send Arm roughly 15% higher, Intel nearly 14% higher and AMD about 9% higher Monday, while Meta itself gained nearly 9%.

For now, the connection is primarily about expected infrastructure demand rather than disclosed orders. Meta has not identified AMD, Intel or Arm as Muse suppliers, making sustained Muse adoption and subsequent evidence of higher computing demand the key factors connecting the consumer AI trend to semiconductor fundamentals.

FAQs

Why are AMD, Intel and Arm stocks rising?

AMD, Intel and Arm rallied as investors reacted to the early adoption of Meta’s Muse AI agent and the potential for autonomous AI systems to increase demand for CPUs used for orchestration, data movement and persistent background workloads.

Why does agentic AI need CPUs?

Agentic AI systems can execute multi-step tasks and continue operating in the background. CPUs help manage operating systems, applications, data movement and orchestration alongside the accelerators used to run AI models.

How quickly is Meta’s Muse growing?

Muse recorded 264,000 U.S. downloads on September 19 and reached 448,000 daily active users on September 18, just 10 days after launch, according to Sensor Tower data cited in the supplied material.

Does Meta use AMD, Intel or Arm chips for Muse?

Meta has not identified AMD, Intel or Arm as infrastructure suppliers for Muse. The semiconductor rally reflects expectations about broader computing demand rather than disclosed Muse-related orders.

What is the next event for Meta’s Muse?

Meta CEO Mark Zuckerberg is scheduled to deliver the Meta Connect keynote on Wednesday. The supplied material says analysts expect Muse demonstrations and commentary on early consumer use cases.

This article was created with AI assistance and reviewed by an editor. For details, please refer to our Terms of Use.

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