The Silicon Challenger

The biggest IPO in history is live — $1.75T valuation, $135 open, $75B raised. And history says the retail investors who chase day-one hype are the ones who get burned.

The SpaceX run created thousands of new millionaires. But it wasn't the people buying at the open. It was the ones positioned early, in the names set to ride the wave.

Our analyst pinpointed 3 stocks positioned to ride the SpaceX wave — with entry guidance and price targets, a bonus 4th pick (the most undervalued name in the sector), and a 3-phase playbook for when to buy and when to sell.

Over 2,500 investors have already read the report. Claim your free copy here.

Get the Free Report

In today's AI boom, Nvidia has become the face of artificial intelligence. Its chips power everything from ChatGPT to autonomous vehicles, and investors have rewarded the company with a multi-trillion-dollar valuation.

But every dominant player eventually attracts competition.

That competition is Advanced Micro Devices (NASDAQ: AMD).

The question for investors isn't whether AMD is a great company. It is.

The question is whether AMD can become the second pillar of AI infrastructure—and whether the market is underestimating that possibility.

Let's dig in.

AMD wasn't always an industry powerhouse.

A decade ago, the company was struggling for relevance. Intel dominated CPUs. Nvidia dominated GPUs. AMD was losing money and market share, and many questioned whether it could survive.

Then came Lisa Su.

When she became CEO in 2014, AMD was worth roughly $2 billion. Today, it's one of the world's largest semiconductor companies, with a market capitalization exceeding $300 billion.

Her strategy wasn't flashy.

It was disciplined.

Instead of trying to beat Intel and Nvidia everywhere, AMD focused on engineering excellence, chip design, and execution.

That strategy changed everything.

AMD operates across four major markets:

Data Center

Client Computing

Gaming

Embedded

While all four contribute to revenue, one division now matters above all others:

Data Center.

This is where the AI revolution lives.

Investors often think of AMD as "the AI company chasing Nvidia."

That's only half the story.

The first battle was against Intel.

For years Intel dominated server CPUs with little meaningful competition.

AMD changed that.

Its EPYC processors consistently delivered:

Cloud providers noticed.

Amazon.

Microsoft.

Google.

Oracle.

Meta.

Today AMD continues taking server CPU market share while Intel fights to regain its footing.

This business alone gives AMD a stable and profitable foundation.

The real excitement begins with AI accelerators.

Training large language models requires enormous computational power.

For years, Nvidia has owned this market.

Its advantage extends beyond hardware.

Developers build around CUDA.

Enterprises optimize for CUDA.

Researchers learn CUDA.

Software vendors support CUDA first.

That's an incredibly powerful moat.

AMD knows it won't win by copying Nvidia.

Instead, it's taking a different approach.

AMD is positioning itself as the industry's second major AI platform.

Why does that matter?

Because no trillion-dollar cloud provider wants to depend entirely on a single supplier.

Imagine you're Microsoft.

Or Meta.

Or Oracle.

Would you really want every AI cluster to depend on one company?

Probably not.

Diversification reduces costs.

It increases negotiating leverage.

It reduces supply-chain risk.

That's where AMD enters the picture.

Rather than replacing Nvidia entirely, AMD only needs to capture a meaningful slice of one of the fastest-growing technology markets in history.

Sometimes second place can still be enormously profitable.

AMD's newest Instinct AI chips have become increasingly competitive.

They offer:

The company has also built relationships with virtually every major hyperscaler.

Recent announcements involving Microsoft, Oracle, Meta, OpenAI, and Anthropic suggest AMD is becoming an increasingly credible alternative for large AI deployments.

That doesn't mean Nvidia is losing.

It means the market may be expanding enough for multiple winners.

Subscribe to The AI Report, the free 5-minute daily AI brief for 400,000+ business leaders, and you’ll get 37 Claude prompts free in your welcome email. They’re organised by the 8 situations every manager faces. You get both: the newsletter and the prompts.

Subscribe & Get the Prompts

Every exceptional company eventually comes down to leadership.

Lisa Su has quietly become one of the best CEOs in technology.

Her accomplishments include:

✓ Reviving AMD from near irrelevance

✓ Launching the Ryzen product line

✓ Winning server CPU market share

✓ Successfully integrating Xilinx

✓ Positioning AMD for the AI era

Investors often pay premiums for companies led by exceptional capital allocators.

Lisa Su has earned that reputation.

One reason AMD stands apart from many AI stories is that it's already profitable.

Unlike speculative AI startups, AMD generates billions in revenue across multiple businesses.

The company also benefits from:

That financial flexibility allows AMD to continue investing aggressively while many competitors cannot.

Imagine AI infrastructure spending remains elevated through the end of the decade.

Cloud providers continue building data centers.

Enterprises deploy private AI systems.

Inference workloads explode.

Under that scenario:

AMD doesn't need to beat Nvidia.

It simply needs to become the clear number two.

If AMD captures even a modest share of this expanding market while continuing to grow its server CPU business, revenue and earnings could compound for years.

Now imagine something different.

Nvidia's software ecosystem proves nearly impossible to disrupt.

Customers continue buying almost exclusively from Nvidia.

AI spending slows.

Enterprise deployments disappoint.

In that world, AMD still has an excellent CPU business—but investors expecting explosive AI growth could be left disappointed.

AMD would likely remain a strong company.

Just not the AI superstar many expect.

Every quarter, look beyond earnings per share.

Instead, ask these questions:

These metrics tell you whether AMD is becoming a genuine AI platform—not just another semiconductor company.

Wispr Flow turns your voice into clean, professional text inside any app. Emails, Slack, client updates — speak once, send without editing. 4x faster than typing.

Try Wispr Flow free

The semiconductor industry rarely crowns new leaders overnight.

Intel dominated CPUs for decades.

AMD slowly chipped away.

Now Nvidia dominates AI accelerators.

History suggests leadership can shift—but only through years of relentless execution.

AMD has already proven it can execute one turnaround.

The next challenge is even bigger.

Can it become the world's second indispensable AI infrastructure company?

If the answer is yes, today's valuation could eventually look modest.

If not, AMD will still likely remain one of the strongest semiconductor businesses in the world—but without the outsized returns many investors are hoping for.

Either way, AMD isn't just another chip company anymore.

It's one of the most important companies to watch as the AI era unfolds.

Business Quality: ★★★★★
Management: ★★★★★
Competitive Advantage: ★★★★☆
Growth Potential: ★★★★★
Financial Strength: ★★★★★
Valuation: ★★★☆☆ (high expectations are already reflected)

Overall Rating: 9.2/10

Investment Thesis: AMD offers one of the highest-quality ways to invest in AI infrastructure beyond Nvidia. The opportunity is enormous, but so is the challenge. For patient investors who believe AI spending will remain elevated over the next decade, AMD has the ingredients to be one of the defining growth stories of this era.

Read more about AI Valuations here

Disclaimer: The information provided on this website is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Investing in securities involves risk, including the potential loss of principal; always conduct your own research and consult a qualified financial professional before making investment decisions.