SpaceX's future hinges less on rockets than on its ability to manufacture artificial intelligence chips at an unprecedented scale. Since going public in June 2026, the company has pivoted dramatically from its core space business into AI infrastructure, acquiring Elon Musk's xAI company for $250 billion in February and signing massive computing contracts worth billions monthly. But the stock's 41% decline from its mid-June peak of roughly $226 reflects investor anxiety about whether SpaceX can actually execute on its most ambitious plan yet: building a semiconductor factory called Terafab that could produce more AI computing capacity than the entire world currently supplies.

How Did SpaceX Become an AI Company Overnight?

SpaceX's transformation began when it acquired xAI, Musk's artificial intelligence startup, in an all-stock deal that gave the combined entity access to Grok, xAI's frontier large language model, and enormous hardware resources including the Colossus supercomputing facilities. These data centers boast over 1 million Nvidia H100 graphics processing units (GPUs), which are specialized chips designed for training and running large AI models. The move proved immediately lucrative. In the second quarter of 2026, SpaceX's AI segment revenue surged 248% year over year, helping drive total company revenue up 92% to $7.81 billion.

The company has already signed high-profile contracts that demonstrate the scale of this business. Anthropic, an AI safety company, is renting computing capacity equivalent to roughly 325,000 Nvidia GPUs for $1.25 billion per month. Alphabet's Google signed a similar deal worth $920 million monthly. In the best-case scenario, these contracts alone could generate roughly $26 billion in annual revenue for SpaceX, practically ensuring double-digit percentage growth for the next several quarters.

What Is Terafab and Why Does It Matter?

Terafab represents SpaceX's long-term bet on dominance in AI infrastructure. Working alongside Tesla, SpaceX is building a massive semiconductor manufacturing facility designed to eventually produce 1 terawatt of AI compute capacity per year, more than the current global supply. The first phase alone requires $16.8 billion in capital investment from both companies combined. But here's where the gamble becomes truly audacious: a regulatory filing revealed that completing all planned phases could require up to $119 billion in total capital expenditure, representing more than a tenth of a trillion dollars.

To put this in perspective, that's capital that could have been deployed elsewhere or returned to shareholders through stock buybacks or dividends. The success or failure of Terafab will have an immense effect on SpaceX's stock performance over the next five years and beyond.

Steps to Understanding SpaceX's Financial Outlook

• Current Revenue Mix: Space and connectivity segments combined represent just over 67% of SpaceX's total revenue, but the AI business is growing far faster and is expected to become the bigger story over the next few years.
• Near-Term Growth Drivers: Monthly contracts with Anthropic and Google worth roughly $2.17 billion combined could deliver substantial revenue growth in the next few quarters as the company scales its computing infrastructure.
• Long-Term Risk Factor: The companies currently spending the largest sums on computing power are already designing their own chips, which means rising competition in the AI processor space will likely bring down growth and margins across the industry within five years.

SpaceX's valuation has already compressed significantly. The company's price-to-sales ratio has fallen from roughly 116 in June to 61 today, yet it still looks very elevated compared to the S&P 500's average price-to-sales ratio of 3.8. This suggests investors remain skeptical about whether the company can justify its premium valuation, particularly given the massive capital requirements ahead.

The core tension is straightforward: SpaceX has stumbled into one of the most lucrative businesses in technology by acquiring xAI and its computing infrastructure. The monthly revenue from renting GPU capacity to AI companies is extraordinary. But building Terafab to manufacture chips at scale is an entirely different challenge, one that requires not just capital but also manufacturing expertise, supply chain management, and the ability to compete against established semiconductor companies. Over the next five years, SpaceX looks likely to continue experiencing rapid top-line growth as it scales its AI infrastructure business, but the boom almost certainly won't last forever as competition intensifies.