Oracle To Spend Another $700 Million On Job Cuts Amid AI-Led Cash Crunch

Oracle, the technology giant, has announced it will spend an additional $700 million in workforce reductions as it grapples with financial strain from substantial investments in AI infrastructure, particularly large-scale data centers designed to support AI workloads. According to Bloomberg, the company's 2026 Restructuring Plan expenses have risen to approximately $2.8 billion, primarily due to severance costs associated with employee layoffs.

So far, Oracle has incurred about $2.1 billion in restructuring expenses, with the extra $700 million representing further cost-cutting measures.

The increased restructuring efforts come as Oracle escalates spending on AI-focused data centers for major clients, including OpenAI. Earlier this year, the company began cutting its workforce as part of cost control measures, with indications of additional job cuts being planned. Oracle CFO Hilary Maxson emphasized simplification and efficiency actions as key steps Oracle is taking to reduce costs and protect profit margins.

Oracle's workforce, numbering around 49,000 employees in the US and nearly 92,000 internationally as of May, has declined by about 21,000 employees compared to a year earlier. Meanwhile, Larry Ellison, who owns nearly 40% of Oracle's shares, has disclosed a new stock trading arrangement, allowing him to sell up to 50 million shares by October 24.

Based on Oracle's closing price on that day, Ellison's stake was estimated to be worth around $8.75 billion. However, Oracle's shares have plummeted by approximately 16% since then.

In addition to financial challenges, Oracle is also involved in major financial backing efforts, such as his son David Ellison's acquisition of Paramount Global and Paramount Skydance's proposed $110 billion bid for Warner Bros. Discovery. Oracle's restructuring underscores the broader financial challenges technology companies encounter as they pour resources into AI infrastructure while striving to maintain profitability and operational efficiency.