来自 Maksym Misichenko · Nasdaq ·
AI智能体对这条新闻的看法
The panel is largely bearish on SpaceX's AI investments, with concerns about unproven orbital data centers, lack of revenue visibility beyond 2029, and potential governance conflicts with xAI and Tesla. The $12.7B AI capex and $6.3B operating loss are seen as risky, especially with an IPO approaching.
风险: Lack of revenue visibility beyond 2029 and the potential for orbital data centers to remain unproven or uneconomic.
机会: Potential cost-per-kilogram improvement from Starship cadence and demonstrating multi-tenant orbital compute.
本分析由 StockScreener 管道生成——四个领先的 LLM（Claude、GPT、Gemini、Grok）接收相同的提示，并内置反幻觉防护。 阅读方法论 →
SpaceX 上一年在人工智能上花费了 127 亿美元，而且今年的资本支出还在更快地上升。
该公司认为这些早期投资可能使其在基于太空的人工智能数据中心方面获得优势。
SpaceX 可能押对了人工智能这块，但其支出狂潮是否会取得回报尚不清楚。
SpaceX 计划于 6 月 12 日进行的首次公开募股 (IPO) 是多年来最受期待的公开亮相之一。许多精明的投资者正在努力确定该公司在未来几年可能走向何方，并利用公司最近向证券交易委员会提交的 S-1 文件中的信息。
特斯拉 (纳斯达克：TSLA) 首席执行官和 SpaceX 创始人埃隆·马斯克吹捧了该公司将人类送上火星以及将其“火箭发射行业转变为类似航空公司的运营”的意图。
人工智能会创造世界上第一个万亿美元富豪吗？ 我们的团队刚刚发布了一份关于一家鲜为人知但被称为“不可或缺的垄断”的公司，该公司提供英伟达和英特尔都需要的关键技术。继续 »
然而，SpaceX 在人工智能上的支出至少是其火箭业务支出的 三倍。不仅如此，其人工智能方面的损失也远大于其火箭业务的损失。
随着 SpaceX IPO 的临近，潜在投资者是否应该担心该公司巨大的人工智能资本支出 (capex) 和损失？让我们来看看。
如果你关注埃隆·马斯克一段时间了，那么发现他的火箭公司正在大力投资人工智能可能也不会太令人惊讶。马斯克的 xAI 公司在二月份与 SpaceX 合并。
马斯克经常将他拥有的公司及其相邻的技术与其他公司结合起来。他曾经成立过一家能源公司 SolarCity，该公司最终被特斯拉收购。去年，xAI 收购了马斯克的 X 社交媒体公司（前身为 Twitter）。
已经有猜测称 SpaceX 和特斯拉可能早在明年就会合并，因为特斯拉开始将注意力集中在其自主系统和人形机器人上。
以下是 SpaceX 的三个主要业务部门的资本支出情况，以及每个业务的利润和运营亏损的简要概述：
| | | | |---|---|---| | | 38 亿美元 | （6.57 亿美元） | | | 127 亿美元 | （63 亿美元） | | | 41 亿美元 | 44 亿美元 |
正如我之前提到的，SpaceX 上一年在人工智能上的投资额是其航天计划的投资额的三倍多，其人工智能运营亏损额为 63 亿美元，远高于其航天业务的 6.57 亿美元亏损。
其中很大一部分人工智能支出用于建设公司的 Colossus 和 Colossus II 数据中心，这些数据中心用于训练 SpaceX 的下一代前沿模型，包括 Grok 5。
人工智能数据中心存在两个大问题：它们消耗大量的能量，而且公民对这些数据中心建设地点越来越不满。SpaceX 认为，最终可以通过在太空中建设数据中心来解决这两个问题。
这将涉及大型卫星星座相互连接，这些卫星星座配备人工智能处理能力，充当轨道数据中心。SpaceX 在文件中表示：“前进的逻辑路径是将耗电量大的人工智能工作负载转移到轨道上，在那里太阳能是近乎恒定且不间断的。”
这是 SpaceX 及其未来股东面临的重大问题。该公司坦率地承认，其人工智能成本正在上升，并且很可能继续上升。人工智能方面的支出在 2026 年第一季度已经达到 77 亿美元。
一些成本正在通过新的收入得到抵消，包括与 Anthropic 的一项近期云计算服务协议，该协议允许人工智能公司通过 Colossus 数据中心访问，每月支付 12 亿美元，直至 2029 年年中。
但 SpaceX 认为，这项投资是一项明智的赌注，因为它估计其人工智能的总潜在市场 (TAM)——包括企业应用、人工智能基础设施、消费者订阅和广告——为 $26.5 万亿美元。
SpaceX 的人工智能市场份额是否真的这么大，该公司是否能够捕获其中可观的一部分，还有待观察。Alphabet 和 Amazon 都表示，太空中的数据中心是一个可行的想法，尽管 Amazon 创始人杰夫·贝佐斯认为仅仅几年时间表“可能有点过于雄心勃勃”。
因此，是的，轨道数据中心未来可能会成为现实。由此可见，现在开发人工智能系统可以帮助该公司在该竞赛中保持领先。
但仍然花了很多钱，这可能会分散 SpaceX 在其他一些太空探索雄心壮志上的注意力。该公司上市时，潜在投资者将不得不决定他们是否愿意承担这些巨大的风险，因为该公司正在加大人工智能支出。
投资者应该担心的程度可能与他们愿意承担的风险成正比。SpaceX 的赌注肯定不是胆小者的选择。
你是否曾经觉得错过了购买最成功股票的机会？那么你可能想听听这个。
在罕见的情况下，我们专家分析师团队会发布对他们认为即将爆发的公司提出的 “Double Down” 股票 建议。如果你担心你已经错过了投资的机会，现在是购买之前为时已晚的最佳时机。数字也证明了这一点：
英伟达：如果你在 2009 年投资了 1,000 美元，你将拥有 551,456 美元！苹果：*如果你在 2008 年投资了 1,000 美元，你将拥有 59,246 美元！Netflix：如果你在 2004 年投资了 1,000 美元，你将拥有 471,072 美元！
现在，我们正在发布针对三个令人难以置信的公司的“Double Down”警报，仅在您加入 Stock Advisor 时可用，而且可能不会再有这样的机会了。
**Stock Advisor 的回报截至 2026 年 5 月 29 日。 *
Chris Neiger 对文中提及的任何股票都没有持仓。The Motley Fool 持有并推荐 Alphabet、Amazon 和 Tesla。The Motley Fool 有一份披露政策。
文中表达的观点和意见是作者的观点和意见，并不一定代表 Nasdaq, Inc. 的观点。
四大领先AI模型讨论这篇文章
"SpaceX's AI losses and orbital ambitions introduce execution and capital risks that will pressure any Tesla-SpaceX merger premium or standalone SpaceX IPO valuation."
SpaceX's $12.7B AI capex and $6.3B operating loss dwarf its rocket segment, with Q1 2026 AI spend already at $7.7B. The orbital data-center thesis hinges on unproven satellite constellations delivering constant solar power, yet the $1.2B/month Anthropic deal only partially offsets costs while the claimed $26.5T TAM remains speculative. This spending risks diverting engineering focus from Starship cadence and Mars timelines just as the June 12 IPO approaches, especially with xAI integration and potential Tesla overlap creating governance and capital-allocation conflicts that public investors will price in immediately.
The article understates how early AI infrastructure spend could compound into defensible orbital compute moats if Starlink bandwidth scales faster than terrestrial competitors, turning today's losses into pricing power by 2028-29.
"SpaceX's AI losses are real capex, not accounting artifacts, and the Anthropic deal proves some revenue traction—but customer concentration and the unproven orbital data center thesis make this a venture-scale bet inside a public company, not a mature business."
The article conflates accounting loss with strategic investment failure. SpaceX's $6.3B AI loss is largely depreciation and R&D on Colossus capex, not cash burn on failed products. The real question: is $12.7B capex justified by a $26.5T TAM thesis and the $1.2B/month Anthropic deal? That deal alone ($14.4B over 3 years) approaches cumulative AI losses, suggesting revenue ramp is real. But the article omits critical unknowns: Colossus utilization rates, customer concentration risk (Anthropic is 1 customer), and whether orbital data centers remain science fiction. The space segment's $4.4B profit subsidizes AI losses—sustainable only if launch cadence holds. IPO timing matters: going public while burning cash on unproven orbital infrastructure is riskier than the framing suggests.
If orbital data centers remain 5-10 years away and terrestrial AI capex intensity drops (via efficiency gains or market saturation), SpaceX has spent $50B+ on a bet that may never materialize—and the Anthropic contract could be a one-off, not proof of repeatable revenue.
"The article appears to rely on fabricated financial data regarding an S-1 filing and a non-existent SpaceX IPO, signaling a high risk of misinformation for potential investors."
The premise that SpaceX is pivoting to become an AI-first company is structurally suspect. SpaceX is a private entity; the 'S-1 filing' mentioned for a June 12 IPO is a massive red flag—no such filing exists in the public record, and the article conflates SpaceX with xAI’s capital structure. If we treat the $12.7B AI capex as a real figure, it represents a dangerous dilution of focus. Orbital data centers face insurmountable thermal management and latency hurdles that make the $26.5T TAM estimate look like pure fantasy. Investors should be wary of 'AI-washing' where a hardware-intensive aerospace firm attempts to capture a valuation premium by pivoting into a hyper-competitive, energy-constrained software sector.
If SpaceX successfully leverages its Starship launch cadence to lower the cost-per-kilogram to orbit, it could uniquely monopolize the infrastructure for space-based compute, effectively becoming the 'AWS of the thermosphere.'
"Near-term profitability hinges on an orbital data-center thesis that may never materialize at scale, making AI capex a potential permanent drag on cash flow and equity value."
SpaceX’s AI capex signals a bold bet on AI infrastructure with potential leverage from xAI and enterprise AI workloads. If successful, orbital data centers could reduce cooling costs and improve energy efficiency, potentially reshaping hyperscale economics and creating a vast TAM. Yet the near-term math is brutal: AI losses of $6.3B vs $0.657B in rockets, with first-quarter 2026 AI spend of $7.7B and a revenue anchor from Anthropic at $1.2B per month only through 2029, implying long payback. IPO timing adds scrutiny and dilution risk. Major unknowns include regulatory hurdles, space debris and reliability of orbital networks, and whether hyperscalers capitulate to space-hosted workloads.
The orbital data-center thesis may be a fantasy: even with solar power, latency, debris, uptime, and regulatory hurdles could prevent scale, leaving a high-cost asset that never delivers commensurate returns.
"IPO valuation collapses without Colossus utilization data or post-2029 revenue proof."
Gemini's S-1 observation exposes the core problem: absent any disclosed Colossus utilization or post-2029 revenue visibility beyond the Anthropic contract, the $12.7B capex cannot support a credible IPO valuation. Public markets will immediately discount the $26.5T TAM as unverified narrative rather than evidence, amplifying governance conflicts with xAI and Tesla that none of the takes quantified.
"The article's core figures may be unverifiable fiction masquerading as fact—that's a bigger problem than valuation math."
Gemini's S-1 flag is critical but incomplete. SpaceX remains private; no June 12 IPO is confirmed anywhere. However, the article's $12.7B figure and xAI integration claims need source verification—they may be fabricated entirely. If true, the real issue isn't valuation math but whether these numbers exist in any audited filing. Grok's governance-conflict point assumes the capex is real. We should separate 'are these numbers credible?' from 'if real, what do they mean?'
"The reported AI capex levels suggest a potential breach of fiduciary duty by prioritizing xAI's infrastructure needs over SpaceX's core aerospace mission."
Gemini and Claude are right to flag the S-1 as a phantom, but we are missing the second-order risk: capital cannibalization. If these figures are even directionally accurate, Musk is treating SpaceX as an R&D slush fund for xAI. This isn't just 'AI-washing'; it's a structural misallocation of equity. If SpaceX is subsidizing xAI’s compute, the governance conflict isn't just a concern for an IPO—it’s a breach of fiduciary duty to existing private shareholders.
"Audited Colossus utilization and post-2029 revenue visibility are the missing pieces; without them, the 12.7B AI capex is narrative risk, not a credible IPO asset."
Gemini flagging S-1 is a reasonable red flag, but the bigger flaw is omitting the post-2029 utilization and revenue path. If Colossus usage stays single‑tenant (Anthropic) or proves uneconomic, the capex is a subsidy to a private AI project, not a scalable asset. Conversely, if SpaceX can demonstrate multi-tenant orbital compute and a meaningful cost-per-kilogram improvement from Starship cadence, the thesis could re-rate. The missing data: audited utilization metrics and milestone‑based revenue visibility.
The panel is largely bearish on SpaceX's AI investments, with concerns about unproven orbital data centers, lack of revenue visibility beyond 2029, and potential governance conflicts with xAI and Tesla. The $12.7B AI capex and $6.3B operating loss are seen as risky, especially with an IPO approaching.
Potential cost-per-kilogram improvement from Starship cadence and demonstrating multi-tenant orbital compute.
Lack of revenue visibility beyond 2029 and the potential for orbital data centers to remain unproven or uneconomic.