Oracle has initiated a round of layoffs affecting thousands of employees, a move largely attributed to the company's substantial investments in artificial intelligence. While the exact total remains undisclosed, investment bank TD Cowen previously estimated potential cuts of up to 30,000 workers from Oracle's global workforce of approximately 162,000. Affected employees reportedly received an anonymous early morning email from "Oracle Leadership" notifying them of their role elimination.
The email stated, "After careful consideration of Oracle’s current business needs, we have made the decision to eliminate your role as part of a broader organizational change. As a result, today is your last working day." Oracle's heavy commitment to AI, particularly its data center expansion, has raised investor concerns regarding financing. The company has taken on tens of billions of dollars in debt for "Stargate," a project announced in January 2025, involving partnerships with OpenAI and Softbank, aiming to build massive AI infrastructure.
The Stargate project, initially projected with up to $500 billion in spending, has not materialized as promised over the past year. OpenAI has faced challenges meeting deadlines, with CEO Sam Altman admitting last week that "Anything at this scale, it’s just like so much stuff goes wrong."
Financial analysts at Barclays suggest these layoffs will help Oracle offset the significant debt incurred from its massive bet on data centers. Barclays also noted lower productivity among Oracle workers compared to industry peers. Although Oracle has not made a formal announcement regarding the total number of layoffs, local reports are providing specific figures. For instance, Oracle's Kansas City, Missouri campus is laying off 539 employees, disclosed through a WARN Act notice filed with the state.
This trend of AI-attributed layoffs extends to other tech giants. Amazon has cut 30,000 jobs since October 2025, and Block reduced its staff by 40% in February. Block CEO Jack Dorsey framed these reductions as preemptive, anticipating increased productivity from AI and opting for a large-scale workforce adjustment upfront rather than gradual cuts.