The pressure for deep restructuring is directly linked to the cost of multi-year contracts to supply computing capacity for AI projects, including major deals covering infrastructure for generative-AI models. In the data-center segment alone, Oracle’s capital expenditures related to AI workloads could reach about $156 billion, and executing these plans would require deploying millions of high-performance GPUs across newly built and expanded facilities.
Market concerns about Oracle’s ability to finance such an aggressive infrastructure expansion are already reflected in a deterioration of the company’s perceived credit risk. At the same time, there are signs that some financial institutions are becoming more cautious about financing Oracle-linked data-center projects, further complicating the company’s efforts to secure capital for additional AI infrastructure.
One scenario under consideration would be freeing up between $8 billion and $10 billion in cash flow through large-scale layoffs. In parallel, Oracle is also reportedly examining the sale of selected assets, including Cerner, the healthcare IT company it acquired in 2022 as part of its move into the digital health market.
Oracle has not officially confirmed any plans for layoffs or asset sales. Nevertheless, the potential restructuring fits into the broader picture of ongoing job cuts across the technology and IT sector, where companies are simultaneously reducing operating costs while redirecting massive investment toward artificial-intelligence infrastructure. For now, there are no clear signs that the pressure for further cuts in the industry will ease in the near future.
