Oracle Corporation reduced its workforce by approximately 21,000 employees over the past year as it intensifies its focus on artificial intelligence (AI) development and expands its data center infrastructure. According to the company’s most recent annual report, this marks a roughly 13 percent decrease in headcount, bringing the total number of full-time employees to about 141,000 at the end of May, down from 162,000 at the conclusion of the prior fiscal year.

The job reductions began in March and involved severance and restructuring costs totaling around $1.84 billion (US dollars). Oracle characterized the layoffs as part of an ongoing, broader workforce adjustment strategy aimed at aligning with its evolving business priorities. The company underscored that the adoption and integration of AI technologies across its operations had contributed to staffing reductions and signaled the possibility of further workforce realignments in the future.

Oracle has committed substantial resources to its AI initiatives, embedding the technology into its product offerings and expanding its infrastructure to support AI workloads. The company plans to spend a net $70 billion (US) on capital expenditures in the current fiscal year, up from $55.7 billion in the previous period, largely to bolster its data center capabilities. This investment comes amid growing competition from AI-focused startups and other major technology firms like Meta and Amazon, which have also announced significant job cuts in recent months as they reposition themselves in the AI landscape.

While Oracle acknowledges the risks inherent in its AI-driven strategy—such as the possibility that competitors’ AI products could dominate market share or that the costs of developing and maintaining AI infrastructure might exceed expectations—it views significant AI investment as necessary to avoid falling behind in the rapidly evolving technology sector.

Oracle’s rise as a key player in AI was accelerated last year through major deals, notably an agreement reportedly involving OpenAI's commitment to purchase roughly $300 billion worth of computing capacity over a five-year period. However, as the AI boom drives up costs, investors are increasingly questioning whether the substantial expenditures by tech giants sustained on these initiatives will prove viable in the long term.