On August 17, Nvidia (NASDAQ:NVDA) agreed to guarantee up to $105 billion to help OpenAI lease a massive data center in Pike County, Ohio, being developed by SoftBank-owned SB Energy. The site could reach 8 gigawatts of capacity, with the first 800 megawatts due online in 2028, and OpenAI has signed on for 20 years. Nvidia will also put $1.5 billion directly into SB Energy and will be the facility’s exclusive chip supplier. It’s the latest example of the company financing the very infrastructure that runs its own chips, a habit that keeps expanding even as it keeps drawing scrutiny.
Bull Case: An Ecosystem Built To Last
The idea behind the guarantee is that Nvidia is using its balance sheet to lock up long-lived sites where its chips can run across multiple hardware generations, and the numbers behind that bet keep climbing. Revenue growth is expected to accelerate toward 97% this quarter, up from 85% the quarter before, as the company rolls out its new Rubin platform. Jensen Huang has floated $1 trillion in combined revenue across 2026 and 2027, which implies roughly $600 billion in fiscal 2028 alone. Demand isn’t limited to hyperscalers, either.
SpaceX has said it will build its AI infrastructure exclusively on Nvidia chips, targeting 10 gigawatts of compute by the end of 2027, a build-out estimated to cost $150 billion to $250 billion. Add in the four largest hyperscalers, expected to spend roughly $700 billion on AI chips this year, plus a possible OpenAI or Anthropic IPO that could free up even more capital, and the picture is a company still early in monetizing an entire computing shift. The Ohio guarantee, paired with the $500 billion financing consortium Nvidia formed with six major financial institutions the week before, fits that same playbook: widen the pool of customers locked into its hardware so no single client’s slowdown can shake the business.
Bear Case: Money Flowing In A Circle
The obvious pushback is circularity. Nvidia is effectively helping fund a customer’s ability to buy Nvidia chips, first through the $500 billion consortium with BlackRock, Blackstone, KKR, Apollo, Brookfield and Goldman Sachs, and now through a direct guarantee tied to OpenAI’s Ohio lease. Huang insists this isn’t circular financing, but the plan to securitize AI infrastructure into a tradable asset class invites comparisons to how mortgage pools were packaged before 2008. Nvidia’s exposure here isn’t unlimited. It covers a portion of lease and power payments and a minimum-value commitment on the site, not the full $105 billion or all of OpenAI’s obligations. But if OpenAI defaults, Nvidia still absorbs the difference between that floor value and whatever the site fetches if it’s re-leased or sold.
There’s concentration risk underneath all of it, too. Data center sales made up 92% of Nvidia’s revenue last quarter, meaning the business leans heavily on a small number of AI labs and hyperscalers continuing to spend at current levels. And Nvidia’s balance sheet carries its own volatility, including a $21 billion stake in SpaceX and roughly $30 billion in Intel, positions that added $15.9 billion in other income last quarter but could just as easily cut into earnings if those stocks pull back.
Wall Street’s Read On It
Hedge fund ownership climbed to 275 funds last quarter from 264 the quarter before, a sign institutional conviction is building rather than fading. Short interest sits at just 1.26% of the float, which points to almost no organized skepticism despite the circular-financing debate. The stock trades at 25.64 times forward earnings as of August 18, a multiple that assumes continued fast growth without looking stretched against the growth estimates on the table.
Where This Leaves Investors
The $105 billion guarantee doesn’t cost Nvidia much today, but it ties the company’s fortunes more tightly to whether OpenAI and its peers can actually pay for the compute they’re committing to years in advance. For the growth case to hold, hyperscaler and AI-lab spending needs to keep compounding at the pace Huang has projected, and newer entrants like SpaceX need to scale as fast as promised. For the skeptics, today’s guarantees and financing consortiums could look very different if AI monetization slows before these long-term leases come due.
While we acknowledge the risk and potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than NVDA and that has 10,000% upside potential, check out our report about this cheapest AI stock.
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