SpaceX Wants $40 Billion of Chips From Nvidia, Now Nearing $6 Trillion

Key Takeaways

• SpaceX (NYSE: SPCX) is reportedly raising $40 billion to buy Nvidia (NASDAQ: NVDA) chips, per a Financial Times report: roughly $10 billion in bank loans and $30 billion in investment-grade bonds, led by Apollo with Pimco among the lenders, closing in 2027. None of the companies has confirmed it.
• The chips feed SpaceX's AI arm: the Colossus data centres that run Grok and rent computing power to Anthropic and Google, plus "Starmind", a plan to put Nvidia-powered data centres in orbit.
• This is the AI boom's new phase: debt. The same week, Wall Street launched a record $60 billion debt package to fund Anthropic's Broadcom chips. The build-out that equity paid for is increasingly being financed like railways were, with bonds.
• Millions of people own a piece of this without choosing to: SpaceX is roughly 3% of QQQ, the half-trillion-dollar Nasdaq-100 fund, so index investors carry exposure to this borrowing by default.
• The honest catch: it's a report, not an announcement; $40 billion of debt is being raised against AI revenues that are still young; the financing is partly circular (Nvidia helped build the lending platforms whose money buys Nvidia chips); and SpaceX's own shares dipped on the news.
• Research it your way: you can invest in global stocks and ETFs from just $1 with zero commission on the Nemo.money app.

Introduction

Here is the most 2026 sentence you'll read this week: a rocket company is reportedly borrowing forty billion dollars to buy computer chips, some of which it plans to send into space.

The Financial Times reported on Tuesday that SpaceX, public since its record June listing and now home to the AI lab behind Grok, is raising $40 billion through Apollo-led loans and bonds to fund an order of Nvidia chips. SpaceX hasn't confirmed it; its shares slipped about 1% on the report while Nvidia's ticked up. If it closes, it would be one of the largest corporate borrowings ever made essentially to buy one supplier's product.

Beneath the jaw-drop is a shift worth understanding whoever you are: the AI build-out, which cash-rich giants funded from their own pockets, is now also being financed with debt, the way railways, telecoms and power grids were. That changes who carries the risk and what investors should check. This guide covers the deal as reported, why a rocket company wants this many chips, what the debt phase means, and why millions of index investors already own a slice of it. To explore the theme, you can invest in global stocks and ETFs from just $1 with zero commission on the Nemo.money app.

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The Deal, as Reported

Everything below is from the FT's reporting (via Reuters); the companies haven't commented:

• 💰 $40 billion, mostly bonds. Roughly $10 billion in bank loans plus $30 billion of investment-grade debt, that is, bonds from a borrower rated relatively safe, sold to institutions. Apollo is expected to lead and place the debt; bond giant Pimco is among lenders in talks. Closing is expected in 2027.
• 🎯 The purpose is singular: Nvidia chips. Not factories, not rockets, an order of AI processors from one supplier. Elon Musk has said SpaceX's data centres will use Nvidia hardware exclusively.
• 📉 The market's first verdict was split. SpaceX shares, up roughly 15% in the five days before, slipped about 1% after hours on the report, equity holders eyeing the new leverage, while Nvidia, already at records and closing in on a $6 trillion valuation, ticked higher: another mega-order for the company selling the shovels.
• 📏 The scale, in context: $40 billion is only around 2% of SpaceX's market value per Yahoo Finance, but it's real money by any other measure, roughly what Boeing's entire commercial unit turned over in a year, borrowed for a single shopping trip.

Why a Rocket Company Needs This Many Chips

SpaceX stopped being just a rocket company in February, when it absorbed Elon Musk's AI lab xAI ahead of its June listing. The chips are for that side of the house:

• 🧠 Colossus, the AI engine. SpaceX's giant data centres train and run Grok, its AI model, on what Musk says will be exclusively Nvidia hardware; he has said the Colossus 2 site could more than double its chip count by December. Demand on this scale is why one customer can justify a $40 billion order.
• 🤝 It rents compute to its rivals' rivals. Colossus capacity is leased to other AI developers, chiefly Anthropic and Google, making SpaceX not just an AI lab but a landlord of computing power, with the chips as the real estate.
• 🛰️ And then there's Starmind: data centres in orbit. SpaceX plans satellites that run Nvidia's Vera Rubin systems in space, drawing solar power around the clock and radiating heat into the void, launched, naturally, on its own rockets. If the AI boom's constraint is land and electricity, SpaceX's pitch is that it owns the one place with unlimited amounts of both.
• 🔌 The through-line is power and compute, the same story behind Google's $4.3 billion nuclear deal and Amazon's 20-year reactor agreement: every AI giant is now securing energy and chips years ahead, by whatever means its balance sheet allows.

The AI Boom Has Entered Its Debt Phase

For three years, AI's build-out was paid for the comfortable way: tech giants spending their own enormous cash flows, and startups raising equity from investors who accepted the risk knowingly. This week showed the next phase:

• 🏦 Bonds are becoming the chips' chequebook. SpaceX's reported $30 billion of investment-grade debt would sit in pension funds, insurers and bond portfolios, and it isn't alone: the very same week, Wall Street banks launched a record $60 billion debt package to fund Broadcom chips leased to Anthropic, whose $518 billion chip-spending plan we covered here. Railways, telecoms and power grids were built this way; now compute is.
• 🔁 And the financing is strikingly circular. Nvidia itself helped launch the $500 billion-plus AI-infrastructure lending platforms (with Apollo, BlackRock, Blackstone and others), the same ecosystem now reportedly arranging debt for a customer... to buy Nvidia chips. Money lent into the boom returns as the chipmaker's revenue, which supports the valuations that anchor more lending.
• ⚖️ Why the shift matters: equity losses hurt the investors who chose them; debt spreads the exposure wider and adds obligations that must be paid whether or not AI revenues arrive on schedule. It's how every great infrastructure build-out matured, and how some of them eventually overbuilt. Both facts belong in the same sentence.

You May Already Own This (The Index Angle)

• 🮺 SpaceX sits at roughly 3% of QQQ, the half-trillion-dollar Nasdaq-100 fund it entered after its record June listing, and Nvidia is that fund's biggest holding at ~8.5%. Anyone holding QQQ owns both sides of this reported deal, borrower and supplier, without ever deciding to. Our full QQQ guide breaks down exactly what's inside.
• 📦 S&P 500 funds carry it too, through Nvidia's ~8% index weight, which is part of the broader story of ten AI stocks now driving about 40 cents of every S&P 500 dollar.
• 🗺️ The investable map, for anyone researching it deliberately: Nvidia (NASDAQ: NVDA, ~$240, near a $6 trillion first), SpaceX (NYSE: SPCX, the borrowing side, rockets plus AI in one ticker), the wider chip chain our Anthropic chip-spending piece maps, and, for the cautious, simply knowing the weight these names already have in funds you own. Every ticker is an example to research, not a recommendation.

The Honest Catch

• 📰 It's a report, not an announcement. The FT cites people familiar with the matter; Reuters couldn't verify it; SpaceX, Nvidia, Apollo and Pimco all declined to comment. Terms, size, even the deal itself could change or vanish, which is why every number here says "reportedly".
• 💸 $40 billion of obligations against young revenues. SpaceX's AI business is new, its economics unproven at this scale, and debt, unlike equity, doesn't wait patiently. The bet is that renting compute to the AI boom covers the coupons; the catch is what happens if the boom's spending slows first.
• 🔁 Circular financing concentrates risk. When the chipmaker's partners fund the chipmaker's customers, everyone's fortunes correlate: great on the way up, ugly in reverse. Sceptics of the AI trade point at exactly this structure, and they're not obviously wrong to watch it.
• 📉 The market's own hesitation is data. SpaceX fell on the news after a 15% five-day run, a small move, but a reminder that leverage transfers risk to shareholders first. And a stock that ran 15% in five days can retrace just as fast on sentiment alone.

None of this makes the deal bad, railways needed debt too, and some railway bonds paid beautifully. It makes it worth understanding before owning, directly or through an index.

What It Means for Investors

• 🔍 Check what you already hold. If you own QQQ, an S&P 500 fund or most tech funds, you have exposure to both sides of this deal; the holdings tab of any fund page shows how much. Deliberate is better than accidental.
• 📅 Watch the confirmations, not the chatter: an official announcement (or denial), the debt pricing when it comes, and Nvidia's earnings in late November, where orders like this become revenue guidance.
• ⚖️ File it with the pattern. Nuclear deals, chip-leasing packages, $40 billion borrowings: the AI build-out is now infrastructure finance, and infrastructure rewards investors who track obligations as closely as ambitions.

How to Research the Theme with Nemo.money

The Nemo.money app is built to help you research before you decide:

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Frequently Asked Questions (FAQs)

Is SpaceX really borrowing $40 billion to buy Nvidia chips?

That's what the Financial Times reported on 6 October 2026, citing people familiar with the matter: roughly $10 billion in bank loans and $30 billion in investment-grade bonds, led by Apollo, with Pimco among potential lenders and closing expected in 2027. None of the companies has confirmed or commented, and Reuters could not independently verify the report, so treat the details as reported, not announced.

Why does SpaceX need so many AI chips?

Since absorbing Elon Musk's xAI before its June listing, SpaceX runs the Colossus data centres that power Grok and rents computing capacity to other AI developers, chiefly Anthropic and Google. Musk has said its data centres use Nvidia hardware exclusively and that the Colossus 2 site could more than double its chip count by December. It is also developing "Starmind", orbital data centres built on Nvidia's Vera Rubin systems, powered by constant solar energy in space.

What does "investment-grade debt" mean?

Bonds issued by a borrower that credit-rating agencies judge relatively unlikely to default, which lets them be bought by pension funds, insurers and mainstream bond portfolios. The significance here is who ends up exposed: equity risk is carried by investors who chose it, while investment-grade debt spreads AI build-out exposure into ordinary fixed-income portfolios.

Do I own SpaceX or Nvidia through my index funds?

Quite possibly. SpaceX entered the Nasdaq-100 after its June 2026 listing and sits at roughly 3% of QQQ, where Nvidia is the top holding at about 8.5%; Nvidia is also around 8% of S&P 500 funds. Your fund's official holdings page shows current weights, checking it takes minutes and is the quickest way to see your actual exposure.

How can I invest in SpaceX or Nvidia from the UAE?

Both are US-listed (SPCX on the NYSE, NVDA on the Nasdaq), so you need access to the US market through a regulated broker or investing app. On the Nemo.money app you can research and invest in eligible US-listed stocks and ETFs from $1 with zero commission, with uninvested cash earning 6% AER, paid daily in USD, while you decide.

Final Thoughts: Railways, Rockets and Receipts

Every great build-out reaches the moment when ambition outruns cash and the bond market gets a call. Railways did it, telecoms did it, power grids did it, and this week's reports suggest AI is doing it: a rocket company borrowing $40 billion for chips, the same week banks syndicated a record package for another AI lab's silicon. The machines are new; the financing playbook is a century old, and so are its lessons, in both directions.

For investors the job isn't to cheer or to scoff, it's to know where you stand. Check what your funds hold. Note who owes what to whom. Watch the confirmations. The AI era will mint its railway barons and its stranded tracks alike, and the difference, as ever, will be visible first in the receipts.

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