Six thousand workers arrive daily at an OpenAI construction site in West Texas. Thatβs more people than the company employs worldwide. Dust blankets the area. Rain turns the roads to mud, then the sun bakes them hard again.
Sam Altman stood there in September watching it all. βThis is what it takes to deliver AI,β Altman told CNBC on site in September. βUnlike previous technological revolutions or previous versions of the internet, thereβs so much infrastructure thatβs required. And this is a small sample of it.β
Each site costs around $50 billion. OpenAIβs Stargate program totals near $850 billion across all locations.
The Abilene campus has one data center running already. Anotherβs almost done. CFO Sarah Friar saidΒ it could eventually push past one gigawatt of capacity, enough electricity for about 750,000 homes.
βThe shovels that are going in the ground here today, theyβre really about compute that comes online in 2026,β she said in September. βThat first Nvidia push will be for Vera Rubins, the new frontier accelerator chips. But then itβs about what gets built for β27, β28, and β29. What we see today is a massive compute crunch.β
Altman didnβt hide the companyβs hunger for more. βWe are growing faster than any business Iβve ever heard of before,β Altman said, squinting against the sun. βAnd we would be way bigger now if we had way more capacity.β
OpenAI is not the only one building
Mark Zuckerbergβs putting up Hyperion in Louisiana. Four million square feet. Uses more power than New Orleans.
Google isΒ breaking ground in Arkansas on what state officials call the largest private investment in their history. Elon Musk built his Colossus supercomputer in Memphis in just 122 days. Now heβs expanding with Colossus 2, shooting for one million GPUs.
Microsoft is dropping over $7 billion in Wisconsin. Satya Nadella says itβll be the worldβs most powerful AI data center.
Sameer Dholakia from Bessemer Venture Partners put it bluntly. βThis is the largest market in the history of mankind,β said Sameer Dholakia, a partner at Bessemer Venture Partners. βThis is larger than oil, because everyone on the planet needs intelligence.β
The numbers are hard to wrap your head around. Five major companies are headed toward approximately $443 billion in capital spending this year. CreditSights thinks that it will hit $602 billion in 2026, up 36% year-over-year.
Not all these companies have that kind of cash sitting around.
Theyβre borrowing. Heavy. $121 billion in new debt this year, more than four times what they averaged over the previous five years. Meta tapped the bond market for $30 billion. Alphabet raised $25 billion. Oracle just closed an $18 billion bond sale.
Wall Street expects the borrowing to keep climbing. Morgan Stanley and JPMorgan estimate AI infrastructure could drive up to $1.5 trillion in additional tech company borrowing. UBS analysts are forecasting as much as $900 billion in new debt issuance coming in 2026 alone.
βThere is something inherently uncomfortable as a credit investor about the transformation of the sort weβre facing that is going to require an enormous amount of capital,β Daniel Sorid, head of U.S. investment grade credit strategy at Citi, told investors on a video call earlier this month.
Investors are getting nervous
Credit-default swaps for Oracle are at multi-year highs. A liquid market for Meta protection started trading in late October for the first time.
OpenAI sits right in the middle of all this. This fall, they announced partnerships adding up to roughly $1.4 trillion in headline commitments. In two months.
September: $100 billion deal with Nvidia. October: agreements with AMD and Broadcom for chip supplies. November: first cloud contract with Amazon Web Services.
βWe have to do this,β OpenAI President Greg Brockman told CNBC in October, referring to the companyβs scramble to secure the raw computing power behind its ambitions. βThis is so core to our mission if we really want to be able to scale to reach all of humanity, this is what we have to do.β
Some analysts arenβt buying it. Gil Luria at D.A. Davidson points to Oracle as a test case. βOpenAI made commitments that itβs highly unlikely theyβll be able to live up to,β he said. βNow theyβre backtracking and saying these arenβt really commitments β these are frameworks.β
Oracleβs stock dropped 23% in November. Worst month since 2001.
Sarah Friar pushed back on the criticism during her interview in West Texas. She compared it to the early web. People thought there was too much infrastructure then too. OpenAIβs looking at debt financing for the first time. Theyβve reviewed over 800 potential sites across North America.
Powerβs the real problem, she said. βThe real bottleneck isnβt money,β she said. βItβs power.β
Late December brought another big move. SoftBankβs Masayoshi Son bought DigitalBridge for $4 billion. To get the cash and fund his $40 billion commitment to OpenAI, he sold his entire Nvidia stake. He told a forum in Tokyo afterward that he βwas cryingβ over having to sell those shares.
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