SpaceX is positioning itself as a major player in artificial intelligence infrastructure, with plans to reach 10 gigawatts of AI computing capacity by 2027, compared to just over 2 gigawatts expected this year. While the company faces enormous execution challenges, one prominent investor believes Elon Musk's vision for terrestrial and space-based AI computing could ultimately eclipse more established competitors in the race to power the next generation of AI systems.

How Are Investors Comparing SpaceX and AMD in the AI Infrastructure Race?

JR Research, a top 2% ranked investor on TipRanks, recently analyzed both companies as contrasting plays on the AI infrastructure boom. AMD already operates a proven, profitable business with $22.2 billion in data center revenue over the past 12 months, up from $7.5 billion just two years earlier. SpaceX, by contrast, is attempting to build something far more ambitious and speculative.

The key difference lies in execution risk versus upside potential. AMD must prove it can capture significantly larger market share from its $2 trillion total addressable market by 2030, while SpaceX is betting on an entirely new category of AI infrastructure that doesn't yet exist at scale. For AMD, the challenge is straightforward: deliver growth that justifies its current valuation. For SpaceX, the challenge is transforming an ambitious vision into a functioning business operating at a completely different scale by decade's end.

What Makes SpaceX's AI Strategy Fundamentally Different?

SpaceX's approach to AI infrastructure diverges sharply from traditional data center operators. The company is pursuing two parallel paths: building ground-based AI data centers while simultaneously developing plans for computing infrastructure in space. This dual strategy addresses a critical constraint facing terrestrial AI infrastructure: power availability and grid capacity.

The company is targeting roughly $100 billion in annual recurring revenue for 2026 and aims to become one of the world's largest AI clouds by deployment capacity. However, reaching 10 gigawatts of capacity by 2027 requires deploying an enormous amount of infrastructure in a compressed timeframe. Power availability, hardware deployment, and demand from AI customers could all constrain this expansion.

A crucial piece of SpaceX's longer-term vision is Starship, the company's fully reusable super-heavy-lift launch vehicle. Successful orbital flights would provide SpaceX a path toward deploying the infrastructure needed to put AI computing in space, potentially opening an entirely new way to overcome power and grid constraints facing terrestrial data centers. Nvidia is already a key hardware partner, with SpaceXAI using its technology for terrestrial AI infrastructure and planning to use it in orbital systems.

What Are the Key Differences Between These Two Investment Theses?

• AMD's Challenge: The company must demonstrate it can capture a much larger share of the $2 trillion AI infrastructure market by 2030, with particular focus on expanding relationships with major AI labs like Anthropic, which could reach around 10 gigawatts of capacity by 2027.
• SpaceX's Opportunity: The company offers exposure to a potentially much larger AI infrastructure opportunity if its plans for both terrestrial and orbital computing are realized, but faces far greater uncertainty about whether those plans can actually be executed.
• Valuation Pressure: AMD trades at 50 times forward earnings, meaning investors need to see more than existing roadmaps to justify the stock price, while SpaceX offers greater long-term optionality despite being a more speculative proposition.

JR Research issued a Hold rating for AMD, arguing that at current valuations, the company has substantial execution risks to overcome. Nvidia remains dominant in AI graphics processing units (GPUs), while Broadcom is also competing for business from major AI labs. OpenAI represents another prominent customer, though its enormous spending requirements and cash burn could affect how quickly it expands its computing infrastructure.

"Unless you intend to bet against Elon Musk, I reckon SPCX is still very early in its bid to supplant the rivals in the AI cloud sphere," stated JR Research.

JR Research, Top 2% Ranked Investor at TipRanks

Wall Street's consensus reflects the different risk profiles of these two companies. AMD carries a Strong Buy rating from analysts, though the stock's 188% year-to-date gain means the $644.62 average price target offers only modest upside of 4%. SpaceX, meanwhile, holds a Moderate Buy consensus view but is expected to generate 12-month returns of 51% based on an average price target of $232.07.

Why Could Space-Based AI Computing Become Critical?

The rationale for SpaceX's orbital computing ambitions rests on a fundamental constraint facing AI infrastructure on Earth: power and grid capacity. As AI models grow larger and more demanding, data centers consume ever-increasing amounts of electricity. Traditional terrestrial infrastructure faces physical and regulatory limits on how much power can be delivered to any single location. Space-based computing could theoretically bypass these constraints by deploying infrastructure in orbit, where solar power and other energy sources could be harnessed without competing for terrestrial grid capacity.

This vision remains highly speculative. SpaceX would need to successfully develop and deploy specialized computing hardware designed for space, establish reliable launch cadences to maintain and upgrade orbital infrastructure, and convince major AI companies that space-based computing offers advantages worth the additional complexity and cost. Yet if successful, this approach could fundamentally reshape how the world's most demanding AI workloads are powered and executed.

The contrast between AMD and SpaceX ultimately reflects two different bets on the future of AI infrastructure. AMD represents a bet on incremental growth within existing markets and proven business models. SpaceX represents a bet on transformative innovation that could create entirely new categories of computing infrastructure. For investors, the choice depends on risk tolerance and conviction about whether Elon Musk can execute on his most ambitious technological vision.