Meta Pays the Price for AI Spending Spree: 125.5 Billion Dollar Debt Issuance Sees Yield Surge, Wall Street Begins to Show "Indigestion"

The cost for tech giants racing to finance artificial intelligence infrastructure is rising.

The Texas data center project backed by Meta completed a $12.55 billion bond issuance this week, but its financing yield was about 50 basis points higher than similar transactions last year, reaching approximately 7.5%. As the market's capacity to absorb AI-related debt gradually approaches its limit, investors are beginning to demand higher risk premiums, revealing the capital pressure behind the AI infrastructure boom.

Meta executives have disclosed to bankers and fund managers that the company may need to raise hundreds of billions of dollars in the future to support AI infrastructure construction and is discussing further financing plans with institutions such as Blackstone. According to The Wall Street Journal, Nvidia is also in talks with OpenAI, planning to provide approximately $250 billion in guarantees to support financing for a large data center project in Ohio.

Data from Bank of America Global Research shows that new debt issuance by AI-related companies reached $270 billion by early July this year, nearly twice the full-year financing scale of 2025. As tech giants continue to expand AI capital expenditures, the market is shifting from "whether they are willing to provide funds" to "how high a return is required for funds to enter."

Rising Interest Rates Put Pressure on New Debt Pricing

On Monday local time, Meta's data center project in El Paso, Texas, completed a $12.55 billion note issuance. Approximately 80% of the equity in this project is held by funds under BlackRock. The bonds issued by the holding company, Sopaipilla Investor, had a coupon spread of approximately 275 basis points over the 10-year U.S. Treasury yield, with an effective yield of about 7.5%. The notes, maturing in 2048, were jointly led by Morgan Stanley and JPMorgan Chase.

In comparison, the trading spread of existing bonds from Meta's similar project in Louisiana was about 50 basis points lower than this new issuance on the same day. The pricing discrepancy between primary and secondary markets indicates that investors are reassessing the risk premium for AI infrastructure financing, demanding higher returns to absorb the continuously expanding supply of new debt.

Neha Khoda, Head of Credit Strategy at Bank of America, pointed out: "Market expectations are that construction will continue to advance, but financing costs are rising."

Previously, after Google announced aggressive capital expenditure plans, the tech sector came under pressure, which subsequently affected the bond prices of companies such as Microsoft and Amazon, exacerbating market concerns about AI-related capital expenditures and associated financing pressures.

Betting on Off-Balance-Sheet Financing to Reduce Balance Sheet Pressure

Over the past nine months, Meta has significantly accelerated its financing pace and actively utilized off-balance-sheet structures to alleviate pressure on its own balance sheet.

Last October, Meta completed a $30 billion corporate bond issuance, nearly doubling its total debt; in April this year, it issued another $25 billion in bonds, continuing to increase its financing efforts.

The latest Texas data center project features a financing arrangement highly similar to the Hyperion project in Louisiana. The latter was advanced by Meta in conjunction with Blue Owl Capital, with funds under Blue Owl investing approximately $3 billion and holding an 80% stake. The holding company, Beignet Investor, issued $27 billion in bonds to finance a data center cluster of approximately 2 gigawatts.

Both transactions embed a "residual value guarantee" mechanism—if Meta does not renew the lease or terminates it early in the future, bondholders will still receive principal and interest protection. Thanks to this, the related bonds received investment-grade ratings, with the Sopaipilla project rated A+ by S&P and AA- by Fitch.

The market is also beginning to focus on the risk transfer issues of such structures: Although project financing is not consolidated into the tech giants' balance sheets, ultimate repayment remains highly dependent on AI computing power demand and the stability of Meta's long-term lease commitments. As off-balance-sheet financing becomes the norm, its implicit liabilities and credit transmission effects are becoming key variables in assessing the financial resilience of tech companies.

AI Capital Race Drives Up Financing Costs

Wall Street bankers have told clients that the possibility of a significant decrease in financing rates in the short term is limited, which is forcing large AI companies to reevaluate the costs of infrastructure expansion.

Just as surging demand for chips, energy, and building materials has driven up data center construction costs, the concentrated demand for capital by AI companies is also pushing up financing prices. However, in this race for computing power, it is difficult for companies to choose to wait—for companies hoping to seize the advantage in AI infrastructure, financing at higher costs is still better than delaying construction due to insufficient funds.

The market is entering a new phase: the AI infrastructure investment boom has not cooled down, but the capital market is beginning to demand higher returns. In the future, substantial funds will continue to flow into data centers and computing power construction, but tech giants will need to pay increasingly high financing costs for this race.