Oracle May Slash Up to 30,000 Jobs to Fund AI Data-Center Expansion as US Banks Retreat
Oracle is considering cutting 20,000 to 30,000 jobs and potentially selling its Cerner healthcare software unit to generate cash and ease financing pressure for its massive AI data-center buildout, according to a research report from investment bank TD Cowen. The moves come as multiple U.S. banks have pulled back from lending tied to Oracle’s infrastructure projects, driving up borrowing costs and stalling deals needed to meet customer demand for AI capacity. Oracle did not immediately respond to requests for comment on the report.
The financial strain stems from Oracle’s ambitious plans to expand its data-center footprint to support surging demand for AI workloads. TD Cowen estimates the company faces $156 billion in required capital expenditure for its infrastructure commitments. In just two months, Oracle raised approximately $58 billion in debt — $38 billion for facilities in Texas and Wisconsin, and $20 billion for New Mexico — but this covers only a fraction of its overall needs, the report said.
Rising Borrowing Costs and Financing Challenges
Since September, lenders have roughly doubled the interest rate premiums they charge Oracle for data-center project financing, pushing costs to levels typically seen with non-investment grade companies, according to TD Cowen. This increase has stalled multiple lease negotiations with private data-center operators, preventing Oracle from securing needed capacity.
“Both equity and debt investors have raised questions regarding Oracle’s ability to finance this buildout,” the TD Cowen report stated. Without financing, private operators cannot build the facilities Oracle requires, creating a significant bottleneck in the company’s U.S. rollout.
The retreat by U.S. banks has forced Oracle to seek alternatives. Asian banks have stepped in, remaining willing to lend at premium rates as they pursue exposure to AI infrastructure growth. While this offers a path for international expansion, it does not resolve Oracle’s domestic capacity challenges.
TD Cowen warned that these U.S. financing constraints raise fundamental questions about whether Oracle can grow revenue if it cannot deliver the data-center capacity its customers expect. The bank noted that Oracle was “notably absent” from lists of companies with major long-term U.S. data-center roadmaps, with financing struggles leading to a “deceleration in incremental data-center procurement.”
Customer Impact and Shifted Relationships
The pressures are already affecting Oracle’s relationships with major AI customers. OpenAI has shifted its near-term capacity needs to Microsoft and Amazon, according to TD Cowen. This marks a significant change from just months earlier, when Oracle had leased approximately 5.2GW of U.S. data-center capacity across Texas, Wisconsin, Michigan, and New Mexico specifically for OpenAI workloads.
More broadly, Oracle’s data-center procurement has slowed dramatically. Private operators who would normally sign large deals with Oracle are holding back “as the market digests the current Oracle financing requirements,” the report said.
Strategies to Reduce Capital Needs
In response, Oracle is pursuing several measures to ease its capital burden. The company has begun requiring 40% upfront deposits from new customers, effectively shifting some infrastructure funding responsibility to clients. It is also exploring “bring your own chip” (BYOC) arrangements, under which customers would supply their own hardware, removing those capital costs from Oracle’s balance sheet.
TD Cowen identified a combination of BYOC deals and workforce reductions as the most likely path forward. BYOC would directly address capital expenditure challenges, while job cuts would improve cash flow by an estimated $8 billion to $10 billion.
However, both approaches carry risks. Implementing BYOC could require renegotiating existing contracts that assume Oracle provides the hardware. Major layoffs could also impact the company’s ability to execute its ambitious infrastructure plans.
Workforce Reduction Context
A reduction of 20,000 to 30,000 jobs would represent Oracle’s largest workforce cut in recent years. The company previously cut an estimated 10,000 jobs in late 2025 as part of a $1.6 billion restructuring plan. Oracle has also reduced headcount at Cerner multiple times since acquiring the healthcare technology firm for $28.3 billion in 2022, including layoffs in 2023 following issues with a Veterans Affairs contract.
Beyond job cuts, Oracle is weighing the sale of its Cerner unit to alleviate financial pressure, the TD Cowen report said. Such a divestiture could provide substantial capital but would represent a significant strategic shift given the high price paid for the acquisition just a few years ago.
Analyst Perspectives and Industry Risk
Industry analysts offer differing views on the seriousness of Oracle’s situation. Sanchit Vir Gogia, chief analyst at Greyhound Research, views the divergence in banking willingness as a signal of broader challenges in the AI infrastructure market, though the source content cuts off before providing his full assessment.
The situation highlights shared risks in the AI infrastructure boom. Many hyperscalers and cloud providers are racing to build massive data-center capacity to support large-scale AI training and inference, but financing these projects at scale has become increasingly difficult amid higher interest rates and lender caution.
Oracle’s challenges come as the company has positioned itself as a key player in cloud infrastructure for AI workloads, competing with established leaders like Microsoft Azure, Amazon Web Services, and Google Cloud. Its ability to deliver on promised capacity has direct implications for customers relying on Oracle Cloud Infrastructure (OCI) for their AI initiatives.
Impact on Developers, Users, and the Industry
For developers and enterprises building on Oracle’s platform, the financing crunch could mean slower availability of new GPU and AI-optimized capacity in key U.S. markets. This may push some customers toward competitors that have secured stronger financing or alternative power and land arrangements.
The potential for large-scale layoffs also raises concerns about service quality and execution speed during a critical period of AI infrastructure expansion. Oracle’s workforce has historically played key roles in both sales and technical implementation of complex cloud deals.
From an industry perspective, Oracle’s situation underscores the enormous capital requirements of the AI boom and the growing selectivity of traditional lenders. The shift toward customer-funded models like upfront deposits and BYOC arrangements could become more common across cloud providers as they seek to balance growth with financial discipline.
Asian banks’ willingness to finance these projects may accelerate international data-center development, potentially shifting some AI capacity growth outside the United States even as domestic demand remains strong.
What’s Next
Oracle has not publicly confirmed any specific timeline for workforce reductions or a potential Cerner sale. The company’s next earnings report and any accompanying guidance will likely provide more clarity on its capital allocation strategy and data-center expansion plans.
The effectiveness of BYOC arrangements and customer deposit requirements will be closely watched by both investors and competitors. Success in these areas could ease pressure on Oracle’s balance sheet while maintaining momentum in its AI infrastructure business.
Longer term, the episode highlights the need for innovative financing models in the AI infrastructure sector. Whether through greater customer co-investment, new debt structures, or partnerships with non-traditional lenders, cloud providers will need creative solutions to fund the next wave of data-center construction.
Analysts will continue monitoring Oracle’s ability to balance aggressive AI expansion with financial stability. The outcome could influence how other technology companies approach similar large-scale infrastructure investments in an environment of heightened lender scrutiny.