Key Points
- Nvidia announced plans to raise $25 billion through a bond offering, allowing the company to lock in long-term financing and maintain flexibility for future AI investments.
- The debt issuance follows Nvidia’s strong first-quarter earnings report and comes as major technology companies continue raising capital to fund ambitious AI initiatives.
- Strong investor demand for AI-related investments is positive for Nvidia, which stands to benefit from much of the spending flowing into AI infrastructure.
Nvidia (NVDA) is set to tap the market for financing while it’s hot, saying on Monday that it will issue $25 billion in bonds. The company’s move locks in low borrowing costs at rates ranging from 4.25% up to 5.625% for the longest-dated bonds.
While Nvidia’s bond issuance is not about raising necessary financing, it does provide the maker of artificial intelligence (“AI”) chips with considerable flexibility. Nvidia issued bonds with seven different maturity dates ranging from 2028 to 2056.
It’s Nvidia’s first bond issuance since 2021, when the company raised $5 billion. The firm looked very different back then, and it has since skyrocketed to become the market’s most valuable company. Nvidia’s currently valued above $5 trillion, and it’s expected to earn more than $200 billion this fiscal year.
With that much money rolling through the door, why would Nvidia even issue bonds at all?
It’s not really about Nvidia refinancing its current maturities. The company has just $1 billion in short-term debt, while debt expiring more than a year out is nearly $7.5 billion. This year’s estimated earnings of more than $200 billion show the company doesn’t need cash either.
Instead, it’s about using a market that is readily willing to lend to AI businesses on good terms, especially those like Nvidia, which has a strong AA credit rating from Standard & Poor’s. Nvidia’s bonds attracted more than $85 billion in investor offers, prompting the firm to raise its offering from an initial $20 billion to $25 billion.
The debt offering provides Nvidia with flexibility to make further investments in the AI space and support its own business in the process. It has taken a $5 billion stake in Intel (INTC), invested up to $10 billion in Anthropic, and bankrolled $30 billion in OpenAI’s massive March capital raise.
The bond issuance comes just weeks after Nvidia’s blowout first-quarter earnings and amid a rush from Big Tech companies such as Alphabet (GOOGL) and Meta Platforms (META) to secure more money for their own AI ambitions.
Big Tech Issues Billions in Bonds, Now Turning to Stock
Nvidia’s bond offering is just a small part of the debt issuance that’s set to take place this year, as companies make jaw-dropping investments in AI. Big Tech companies, including the so-called hyperscalers making huge investments in AI data centers, are using significant debt to finance their spending. But more recently they’ve shifted to issuing stock to finance AI projects.
Investment bank Morgan Stanley projects that AI-related bond issuance is likely to double or more this year, to $570 billion, as companies rush to fund projects amid investor enthusiasm.
The debt offerings among hyperscalers have been intense over the past year:
- In October, Meta Platforms issued $30 billion in bonds in its largest debt offering ever. Then it came back for more in April with a $25 billion issuance.
- In February, Alphabet issued $31.5 billion in bonds, including a rare 100-year bond, to finance its AI investments.
- Hyperscaler Amazon (AMZN) has also been active, with a $15 billion bond issuance in November and piled another $54 billion in bonds on top of that in March 2026.
But even these tech behemoths can’t issue debt forever, so some have taken to issuing stock.
Alphabet planned an $80 billion stock issuance, then bumped it to $85 billion as demand was strong. Even Berkshire Hathaway (BRK.B) put up $10 billion for a piece of the offering. It was the largest-ever single equity raise in a public stock market.
While Alphabet could have tapped the bond market, the equity raise gives it financial flexibility. Issuing stock while it’s not too far from an all-time high provides funding without any out-of-pocket cost and reduces the risk of taking on further debt now, while preserving the ability to issue debt later.
Not long after Alphabet’s announcement, reports suggested that Meta was considering selling tens of billions in stock to fund its AI investments, too. Given the scale of AI investments, more hyperscalers may consider issuing stock to keep their balance sheets more flexible.
AI Investments Surge in Latest Estimates, and Expect Even More in 2027
All this debt (and now equity) issuance comes amid AI spending plans that are growing almost beyond belief. Hyperscalers are the single biggest block of this spending. In early 2026, capital spending by the four big hyperscalers – Alphabet, Amazon, Microsoft (MSFT), and Meta – was estimated at $650 billion for the year. Months later, estimates soared to $725 billion.
All the AI investment is projected to consume 94% of their operating cash flow, says PIMCO, so companies are turning to the bond markets and now the equity markets to keep spending going.
Estimates for 2027 are only set to grow. Many investment banks expect AI investment to surge past $1 trillion next year. This is great news for Nvidia, which still sits at the center of the AI ecosystem.
Nvidia will continue to capture a large share of those dollars as hyperscalers plow money into AI data centers to meet projected demand. Even if new entrants, such as Cerebras Systems (CBRS), get a piece of the action, Nvidia should remain tremendously profitable as long as the AI party rages on.
Regards,
James Royal, PhD
Editor’s Note: What ever happened to the AI stock boom? Even AI darlings like Nvidia have essentially gone nowhere since summer 2025. Our friend and colleague at InvestorPlace, Louis Navellier, may have the answer. According to Louis, the AI industry is quietly “staging” ahead of the next great AI breakthrough… a new class of AI he calls “Superintelligence… but better.” How will it trigger a $100 trillion reset of the AI markets. How will the launch of this tech send some stocks to zero, and others soaring? And why does Louis say: Don’t buy or sell an AI stock in 2026 until you see what’s coming next? Go here for the full story (and Louis’ #1 pick).
