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Goldman Sachs forecasts SpaceX’s AI revenue to surge 100-fold by 2030

By Editorial Team · Published June 5, 2026 · 3 min read · Source: Crypto Briefing
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Goldman Sachs forecasts SpaceX’s AI revenue to surge 100-fold by 2030

Goldman Sachs forecasts SpaceX’s AI revenue to surge 100-fold by 2030

The investment bank's IPO pitch projects SpaceX AI revenue jumping from $3.2 billion to $322 billion in five years, drawing sharp skepticism from analysts.

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Add us on Google by Editorial Team Jun. 5, 2026

Goldman Sachs thinks SpaceX’s AI business will grow 100-fold in five years. That’s the kind of number that either makes you lean forward in your chair or spit out your coffee, depending on your tolerance for Wall Street optimism.

The investment bank projects SpaceX’s AI division will balloon from $3.2B in 2025 revenue to $322B by 2030. For context, that single business line would be larger than the entire current revenue of most Fortune 50 companies. The figures were first reported by the Financial Times on June 4, 2026, and come as part of Goldman’s investor pitch for what’s shaping up to be one of the largest IPOs in US history.

The numbers behind the pitch

Goldman Sachs is acting as lead underwriter for SpaceX’s upcoming public listing, which means the bank has a direct financial incentive to paint the rosiest picture possible. That doesn’t make the projections wrong. It does mean they deserve extra scrutiny.

Here’s what the full revenue picture looks like, according to Goldman’s forecast. SpaceX pulled in $18.7B in total revenue in 2025. By 2030, the bank expects that figure to hit $474B. That’s roughly a 25x increase across the entire company in half a decade.

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The AI division is doing the heavy lifting in these projections. Intermediate targets peg AI revenue at $15.6B in 2026 and $34.5B in 2027, suggesting Goldman expects the growth curve to steepen dramatically in the back half of the decade.

Starlink, the satellite internet constellation that most people associate with SpaceX, is projected to contribute $144B by 2030. That’s a massive number on its own, but it’s less than half of what Goldman expects from AI alone. In English: the bank is betting that a company best known for rockets and satellite internet will derive most of its value from artificial intelligence infrastructure.

The math implies SpaceX’s remaining businesses, including its launch services and other operations, would account for roughly $8B of the $474B total. That’s a dramatic reshuffling of where the company’s money comes from.

Why analysts are raising eyebrows

The skepticism isn’t about whether SpaceX can build AI products. It’s about whether any company can scale an AI business from $3.2B to $322B in five years, regardless of how much capital or infrastructure it throws at the problem. Industry experts and AI researchers have openly questioned the assumptions baked into Goldman’s model.

There’s also the competitive question. SpaceX would be entering an AI infrastructure market that already includes hyperscalers with years of head start and tens of billions in annual capital expenditure. Carving out $322B in revenue means either taking enormous market share from incumbents or betting that the total addressable market expands far beyond current estimates.

What this means for investors

SpaceX’s IPO is expected to be among the largest listings in US history, and the Goldman projections will anchor much of the valuation conversation.

The shift in SpaceX’s narrative is worth watching closely. Goldman’s pitch repositions it as primarily an AI infrastructure company that happens to also launch rockets. That’s a fundamentally different investment thesis, and it will attract a fundamentally different investor base.

The risk here is straightforward. If SpaceX prices its IPO based on a $322B AI revenue trajectory and that trajectory doesn’t materialize, early investors could be left holding an asset priced for perfection. The gap between $3.2B and $322B is not just large, it’s the difference between a successful technology business and one of the most dominant companies in human history.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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