The growing use of AI contributed to Oracle laying off 21,000 workers in a year, according to a Securities and Exchange Commission filing on Monday.

In its annual regulatory filing for the fiscal year ending May 31, Oracle said it has 141,000 full-time employees. In its 2025 filing, Oracle said it had 162,000 employees. The reported 12.9 percent reduction followed March reports of mass layoffs at the database management software company.

"[T]he adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce," the filing reads.

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The growing use of AI contributed to Oracle laying off 21,000 workers in a year, according to a Securities and Exchange Commission filing on Monday.

In its annual regulatory filing for the fiscal year ending May 31, Oracle said it has 141,000 full-time employees. In its 2025 filing, Oracle said it had 162,000 employees. The reported 12.9 percent reduction followed March reports of mass layoffs at the database management software company.

"[T]he adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce," the filing reads.

Read full article

Comments

© Getty

Oracle cut roughly 21,000 jobs over the past year as it reorganized around AI and ramps up spending on data centers for customers such as OpenAI and Meta. The restructuring cost the company about $1.8 billion and, while Oracle says AI deployment may drive further reductions, it also warns the cuts could create skills shortages and hurt productivity. The BBC reports: The software and cloud computing firm says it had around 141,000 full-time employees as of May 31, 2026, down from about 162,000 workers at the same time last year. The "deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce," the report says. The cuts, which amount to about 13% of Oracle's workforce, are part of a wider trend among tech firms as they spend hundreds of billions of dollars on building AI infrastructure like data centers.

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