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    Home » Nvidia, Oracle and SpaceX Tap Debt Markets as AI Spending Surges
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    Nvidia, Oracle and SpaceX Tap Debt Markets as AI Spending Surges

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    Nvidia, Oracle And Spacex Tap Debt Markets As Ai Spending Surges
    Nvidia, Oracle And Spacex Tap Debt Markets As Ai Spending Surges

    Companies tied to artificial intelligence are increasingly tapping debt markets, turning bonds into a new pipeline for funding compute build-outs. Nvidia’s latest $25 billion bond sale reportedly drew more than $85 billion in orders, while Oracle has outlined plans to raise as much as $50 billion and Amazon has borrowed more than $80 billion since the start of 2025. Now, SpaceX is reportedly preparing another large borrowing, with bankers reportedly working on a bond offering of at least $20 billion.

    Investors are watching the pattern for signals about credit risk and funding capacity—particularly as some AI beneficiaries generate substantial cash, while others continue to burn cash to scale new projects.

    Key takeaways

    • Price move: The article does not provide specific stock price moves for any company.
    • Catalyst: A surge in large corporate bond issuance tied to AI infrastructure demand, led by Nvidia’s $25 billion deal.
    • Key implication: Highly profitable AI-linked firms appear able to service debt with operating cash flow, while cash-burning borrowers may face more refinancing and execution risk.
    • Watch area: The reported potential SpaceX bond sale is being closely scrutinized because the business is not currently profitable.

    A massive rush into corporate bonds

    According to the article, Nvidia returned to the bond market for the first time since 2021, selling $25 billion of debt. Demand reportedly exceeded expectations, with the company increasing the size after initial targeting of roughly $20 billion. The report said the order book surpassed $85 billion, more than three times the amount issued.

    The financing wave extends beyond Nvidia. Amazon has been issuing debt across multiple currencies, and the report said its latest offering was its largest corporate bond deal in that currency. Oracle, meanwhile, has indicated that funding will be split between debt and equity and flagged additional capital needs for fiscal 2027.

    Alphabet is cited as taking a different route, raising about $85 billion through a sale of stock and preferred shares rather than bonds, underscoring that large AI-adjacent borrowers are choosing the instrument mix that best fits their capital plans.

    What drove the borrowing (and why lenders are stepping in)

    The article frames the borrowing rush as a response to AI-driven infrastructure spending, with debt investors willing to fund growth when underlying cash generation supports repayment. For the biggest borrowers, the implied credit case is that profitability can make large bond issuance manageable—even if the company is still expanding aggressively.

    According to the article, Nvidia posted nearly $43 billion in net income in its fiscal fourth quarter alone, which the report says exceeds the $25 billion bond amount raised. It also cited full-year revenue growth of 65% to about $216 billion. The logic presented is that a cash-generating business does not need to borrow to survive, but can use the proceeds to fund further expansion and optionality.

    For Amazon and Alphabet, the article similarly emphasizes cash generation from profitable cloud operations. It argues that cash flows are sufficient to cover interest costs, allowing these firms to invest more aggressively in AI growth opportunities. In this view, debt issuance is less about stress and more about scaling at speed.

    Not all borrowers have the same credit profile

    While the report portrays the largest issuers as financially positioned to handle leverage, it also highlights that AI-linked companies are not uniform in their balance-sheet strength. Oracle is presented as profitable on paper but with a more strained cash profile, citing negative free cash flow of roughly $24 billion in fiscal 2026 as capital expenditures rose to nearly $56 billion. The article also states that Oracle’s debt now tops $100 billion.

    The clearest concern in the report centers on SpaceX. It says SpaceX is not profitable, citing losses of nearly $5 billion in 2025 and $4.28 billion in the first quarter of 2026 on revenue of $4.69 billion. The report attributes much of the bleeding to an AI unit acquired from xAI, referencing xAI’s prior operating loss and revenue.

    According to the article, the rumored planned bond sale would be unlikely to fund new growth in full; instead, it is described as potentially refinancing a bridge loan coming due in 2027. At the same time, the report notes that SpaceX has large commercial commitments, including a Google deal for computing power from October 2026 through June 2029 and a disclosed Anthropic arrangement that could total about $45 billion—while also stating that both include termination rights.

    Market implications and what to watch next

    For investors, the article suggests the broader debt trend is not automatically a red flag. Based on the report’s comparisons, Nvidia, Amazon, and Alphabet appear to be borrowing from a position of strength, with cash generation that can absorb interest expense. Oracle’s situation looks more stretched given the mismatch between profitability and free cash flow after a capital-spending surge.

    SpaceX, however, represents a different risk category. The reported borrowing could be manageable if refinancing needs are aligned with credible revenue visibility and execution, but cash burn leaves less margin for error if AI-related returns take longer to materialize than the bond market assumes.

    Next, investors are likely to focus on the final terms and timing of any SpaceX issuance, including how proceeds are allocated and whether refinancing expectations match actual funding requirements. Broader market attention will also remain on major AI capex updates, interest-rate expectations, and any credit-spread moves that could signal changing lender appetite for high-growth, lower-profit borrowers.

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