Oracle likely to cut about 30,000 jobs to finance data centre buildout

In a significant shift to enhance its financial health, Oracle is reportedly contemplating substantial workforce reductions, potentially impacting between 20,000 to 30,000 employees. This drastic measure aims to bolster cash flow as the company pushes forward with its ambitious AI data center expansion plans. The anticipated job cuts are expected to generate between $8 billion and $10 billion in cash flow, a critical step as Oracle faces heightened scrutiny from U.S. banks regarding funding for its data center initiatives. According to insights from investment bank TD Cowen, both equity and debt investors have expressed concerns about Oracle's capacity to finance this extensive expansion. If these layoffs proceed, they would mark Oracle's most significant cost-cutting strategy since the company reduced its workforce by 10,000 in 2025. Reports suggest that employees involved in data center operations and related business functions are likely to be the hardest hit. Beyond workforce reductions, Oracle is considering selling portions of its healthcare software division, which it acquired for $28.3 billion in 2022. This restructuring plan is set to impact not only employees but also customer interactions with Oracle's services. New customers may face increased fees, with suggestions that they could be required to pay up to 40% of their costs upfront. Additionally, customers might experience service delays or limited capacity as Oracle scales back on new data center investments, prompting some companies to delay their cloud deployment strategies. The company is also exploring a 'bring your own chip' (BYOC) model, allowing customers to supply their own hardware. These developments underscore a broader trend in the tech industry, where many companies are implementing layoffs as they adapt to the growing influence of AI technologies. Major corporations, including Amazon, Meta, and Google, have recently announced significant job cuts, raising concerns within the employment landscape.