Why SpaceX Could Become the Most Important AI Company Investors Aren't Calling an AI Company

SpaceX said its biggest opportunity is AI, with $26.5 trillion of its $28.5 trillion TAM tied to artificial intelligence and orbital data centers targeted as early as 2028. The company is already monetizing AI infrastructure through large compute-rental deals totaling $2.12 billion per month with Anthropic and Alphabet, while Goldman Sachs projects AI revenue could rise from $3.2 billion in 2025 to $322 billion by 2030. The opportunity is sizable but capital-intensive, and the article flags meaningful execution and profitability risk.

Analysis

The market is still valuing SpaceX as a launch/communications asset, but the article implies a much broader option set: if compute moves off Earth, the bottleneck shifts from rockets to power, thermal management, and fabrication. That is structurally bullish for upstream beneficiaries of AI buildout, especially firms like GOOGL that can monetize demand for distributed compute even if they never own the physical stack. It also raises the odds that the next phase of AI capex is less about GPU scarcity and more about energy arbitrage, which tends to reward infrastructure owners with cheap access to power rather than pure software names.

Second-order, orbital data centers would be a negative for the traditional data-center REIT complex and some grid-adjacent suppliers if the concept matures faster than expected. The more relevant near-term losers are projects dependent on constrained terrestrial power access: every month of delay in grid interconnection preserves pricing power for incumbent cloud providers and keeps AI workloads concentrated in a few hyperscalers. If orbital compute becomes credible by 2028, the key competitive moat shifts toward launch cadence, satellite mass production, and autonomous operations — areas where execution risk is high and capital intensity can overwhelm even a strong strategic narrative.

The biggest contrarian point is timing: this is a 3-5 year call dressed up as an imminent monetization story. The gap between an engineering demo and bankable cash flow is enormous, and the implied revenue ramp requires sustained demand plus a step-change in launch economics and reliability. In the interim, the more tradable signal is likely to show up in public AI infrastructure beneficiaries and in options-implied volatility around any filing, prototype, or partnership announcement.

GS is a tertiary beneficiary only if underwriting/financing activity around next-gen AI infrastructure accelerates; otherwise it is mostly noise. NVDA and NFLX are effectively irrelevant to this thesis operationally, despite being used as historical stock-picking references, and should not be mistaken for direct beneficiaries of orbital compute.

Key Decisions for Investors

• Buy GOOGL on pullbacks over the next 1-3 months as a relative winner from continued AI infrastructure demand; use it as a lower-beta way to express compute monetization while the SpaceX story remains speculative.
• Initiate a pair trade: long AI-infrastructure beneficiaries, short terrestrial data-center/power-constrained proxies, for a 6-12 month horizon; the thesis is that capital migrates toward firms with cheaper energy access and stronger balance sheets before orbital compute is commercial.
• Avoid chasing any direct SpaceX-related private-market exposure until there is verified unit economics; the risk/reward is poor because the market is likely to overcapitalize the 2028 narrative before technical and regulatory hurdles are resolved.
• If public market volatility rises around orbital-data-center announcements, consider selling upside calls on high-multiple AI infrastructure names into strength; the story supports sentiment, but actual commercialization is years away and prone to sharp retracements.
• Watch GS for a catalyst only if it starts appearing in financing syndicates or structured capital around AI infrastructure; otherwise keep position size neutral, as the article does not justify a directional trade.