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“AMD, Intel and Arm Surge as Meta’s Muse AI Agent Revives the CPU Trade” 🚨🚨🚨

The artificial-intelligence trade came roaring back on Monday, September 21, as investors poured money into semiconductor stocks following the rapid adoption of Meta’s new Muse AI agent.

The move was especially powerful for companies tied to CPU demand, with AMD, Intel and Arm Holdings all posting major gains. AMD climbed roughly 9.6% to a record $613.31, pushing the company above a $1 trillion market capitalization for the first time. Intel jumped around 12%, while Arm gained roughly 15% during the session.

The bigger story, however, isn’t simply that these stocks went up.

Investors are beginning to view the rapid adoption of AI agents as evidence that the next phase of AI growth could require far more computing power than previously expected.

Why Meta’s Muse Matters

Meta launched Muse on September 8 as a more action-oriented AI assistant rather than simply a chatbot.

The distinction is important.

Traditional AI applications primarily answer questions or generate content. Agentic AI is designed to perform tasks on behalf of users, including researching information, completing forms and interacting with online services.

Muse quickly gained traction, reaching the top position among free iPhone applications in the U.S. App Store. That rapid adoption has given investors a real-world example of what happens when AI moves from something people occasionally ask questions to something that can continuously perform tasks.

That could mean significantly more AI inference—the process of running AI models to generate responses and execute tasks.

And that’s where CPUs enter the conversation.

The AI Hardware Story Is Expanding

For much of the AI investment boom, the spotlight has been overwhelmingly focused on GPUs.

That’s where companies such as Nvidia have dominated.

But AI data centers aren’t powered by GPUs alone.

CPUs handle important workloads involving:

• Data processing

• System orchestration

• AI inference

• Networking coordination

• Storage management

• General-purpose computing

• Moving information between different components

  
  

As AI agents perform more tasks, investors are betting that the overall amount of computing required will increase.

That creates a potentially larger market for AMD and Intel CPUs, while Arm can benefit from the broader growth of processors built around its architecture.

Analysts cited in market coverage have pointed to the growing importance of CPU demand as AI inference expands.

AMD Hits a Major Milestone

AMD’s move was particularly significant.

The company crossed the $1 trillion market-capitalization threshold, joining Nvidia, Broadcom and Micron as the only U.S. chipmakers to reach that level, according to Reuters’ Monday report. AMD’s shares have now risen approximately 185% in 2026, dramatically outperforming the Nasdaq’s gain of about 15.8% over the same period.

AMD has also been expanding beyond selling individual processors and accelerators.

The company is increasingly positioning itself as a provider of complete AI infrastructure, combining compute, networking and related hardware to compete more directly with Nvidia.

At the same time, AMD has been gaining share in server CPUs, particularly as data centers increasingly require traditional processors alongside AI accelerators.

That makes the rise of AI agents an interesting additional catalyst for AMD.

Intel Gets a Different Kind of Boost

Intel’s rally is significant because the company has been fighting through a difficult period in which investors questioned its competitive position in both CPUs and advanced semiconductor manufacturing.

But Monday’s move shows that the market is starting to focus on another issue:

Supply.

Recent comments from Intel CEO Lip-Bu Tan indicated that the company can currently satisfy only about half of customer demand, according to market reporting. If AI agents create another wave of demand for CPUs, limited supply could become an important factor for Intel’s business.

That doesn’t guarantee higher profits, of course. Intel still has to convert demand into profitable shipments while managing manufacturing costs and its broader turnaround strategy.

But investors clearly viewed the potential increase in CPU demand as meaningful.

Arm Is Benefiting From the Same Trend

Arm Holdings is another major beneficiary of the CPU narrative, although its business model is very different.

Arm primarily licenses its processor architecture and intellectual property rather than manufacturing processors itself.

That means a broad increase in the number of processors using Arm-based technology can potentially increase royalty opportunities across the ecosystem.

The stock surged roughly 15% Monday, highlighting how aggressively investors are repricing companies connected to the expanding AI-compute market.

This Isn’t Just About Muse

There’s an important distinction investors need to understand.

Muse itself hasn’t suddenly placed massive chip orders with AMD or Intel.

The stock rally is based largely on what Muse’s adoption could signal about future computing demand.

In other words, investors are looking through the product and asking:

If millions of people start using AI agents every day, how much additional computing infrastructure will the world need?

That’s a much larger question.

And if AI agents become a normal part of people’s daily lives—handling research, shopping, scheduling, communications and other tasks—the amount of inference performed by data centers could increase dramatically.

Meta’s Massive AI Spending Adds Another Layer

Meta is already spending enormous amounts on AI infrastructure.

The company is expected to spend roughly $130 billion to $145 billion on capital expenditures in 2026, much of which is connected to AI infrastructure and data centers. The rapid popularity of Muse is helping investors see a possible path toward turning those enormous investments into products that consumers actually use.

That’s important because investors had previously questioned whether Meta’s huge AI spending would generate enough economic value.

Muse gives the market another potential answer.

If consumers actually adopt AI agents at scale, Meta could eventually have opportunities to monetize those users through subscriptions, APIs and other services.

But There Are Still Risks

The excitement doesn’t eliminate the risks.

Muse has already encountered resistance from Amazon, which has restricted the AI agent’s access to its marketplace over concerns involving data access, account information and compliance with platform rules.

That highlights one of the biggest challenges facing agentic AI:

AI agents need permission to interact with the digital world.

Companies have to decide how much access these systems should have to shopping accounts, financial information, email, calendars and other personal data.

There are also questions surrounding reliability, privacy and security.

So while Muse’s early adoption is impressive, it remains too early to assume that every AI agent will achieve mass adoption.

The Bigger Investment Theme

Monday’s semiconductor rally could represent something bigger than one day’s market movement.

For years, the AI investment thesis has largely been:

More AI → more GPUs → more data centers.

The market is increasingly exploring a broader version:

More AI agents → more inference → more CPUs → more networking → more memory → more data centers → more power and cooling.

That could potentially expand the number of companies benefiting from the AI infrastructure buildout.

AMD and Intel are directly exposed to CPU demand. Arm participates through processor architecture licensing. Nvidia remains deeply exposed to accelerated computing, while memory, networking, storage, power and cooling companies can also benefit as data-center workloads expand.

What Investors Will Be Watching Next

The biggest question now is whether Muse’s popularity turns into a sustained trend in AI-agent usage rather than a short-term burst of enthusiasm.

Investors will also be watching:

1. AI inference growth

Are companies seeing dramatically more demand for inference workloads?

2. CPU demand

Do AMD and Intel report stronger orders from cloud and data-center customers?

3. Hyperscaler spending

Do Meta, Microsoft, Google and Amazon continue increasing AI infrastructure budgets?

4. AI monetization

Can companies turn consumer AI usage into meaningful revenue?

5. Semiconductor supply

Can manufacturers actually produce enough processors and accelerators to meet demand?

6. Valuations

After Monday’s massive moves, investors will have to determine how much future AI growth is already reflected in semiconductor prices.

The Bottom Line

The market isn’t simply celebrating Meta’s Muse app.

Investors are treating Muse’s rapid adoption as a potential real-world demonstration of where AI could be heading next: from chatbots that answer questions to autonomous agents that continuously perform tasks.

If that transition becomes widespread, the AI infrastructure opportunity could extend well beyond GPUs.

That’s why AMD, Intel and Arm suddenly became major beneficiaries of the Muse story—and why Monday’s semiconductor rally could be another indication that Wall Street is beginning to price in the next phase of the AI infrastructure cycle.