Oracle’s ambitious $300 billion financing arrangement related to its partnership with OpenAI is testing the willingness of banks and investors to extend large amounts of debt amid the U.S. data-center expansion. Financial institutions, including JPMorgan Chase, have encountered difficulties distributing billions of dollars in loans used to develop data centers leased to Oracle in Texas and Wisconsin, sources familiar with the matter said.

Many lenders face regulatory and internal limits on their exposure to single borrowers, and the scale of Oracle’s debt requirements has strained these thresholds. This situation has clogged bank balance sheets and affected the availability of financing for future projects involving Oracle and OpenAI. For instance, lenders were hesitant to fund the growth of a data-center facility in Abilene, Texas, if it were leased by Oracle. Consequently, the developer Crusoe opted to lease the space to Microsoft instead.

Oracle’s challenges illustrate broader risks for the multi-trillion-dollar data-center boom supporting artificial intelligence infrastructure. Market concerns over capital access add to existing issues such as limited electrical grid capacity and growing community opposition. A slowdown in data-center construction could hinder AI companies’ ability to scale rapidly.

Lenders appeared to ease some concerns after Oracle announced plans to raise approximately $50 billion through stock and bond sales in 2026, aimed at covering its financing needs for that year. Oracle stated on its social media platform that each data center under development for OpenAI remains on schedule. Yet, according to Morgan Stanley credit analysts, Oracle faces additional funding requirements exceeding $100 billion for 2027 and the first half of 2028. In February, Morgan Stanley analysts noted the company’s substantial capital demands “may test the depths of different fixed-income markets.”

An Oracle spokesperson said the company is proud of its progress in securing financing and advancing construction and highlighted the diversified nature of its capital sources as enabling continued development.

Oracle is not the only company navigating these pressures. The broader Silicon Valley tech sector requires sizable financing to support AI initiatives, with estimates suggesting that big tech firms will generate enough internal cash flow to cover roughly half of the projected $3 trillion AI investment through 2028. The remainder must come from external sources such as bank loans, corporate bonds, and private credit.

While leading technology firms like Google, Microsoft, and Meta have generally secured ample financing from Wall Street, Oracle’s comparatively weaker financial position poses unique challenges. The company’s transformation from a traditional database and software vendor into a key AI infrastructure provider places it at the center of a critical test of the capital markets’ capacity to support AI’s rapid growth.