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Oracle Plans Thousands of Job Cuts as AI Data Center Costs Surge

Oracle plans thousands of job cuts due to surging AI data center costs. Discover how financial strain and rising AI demands are impacting.

Priyanshi Kharwade

Last updated on: Mar. 11, 2026

Jersey City, N.J., March 9, 2026

Oracle is preparing to reduce its workforce by thousands as it combats the financial strain of expanding its AI data center network. While these cloud infrastructure investments are aimed at capturing the enterprise AI market, the high costs are forcing the company to streamline operations.

Starting as early as March 2026, these cuts are expected to impact various regions and departments, specifically targeting roles that may be automated by the very AI tools the company is developing. To further manage expenses, Oracle has slowed hiring and is reviewing open listings, particularly within its cloud division.

Strategic AI Partnerships

Oracle’s rapid expansion is fueled by high-profile agreements to provide computing power for major AI players, including:

  • OpenAI: A landmark $300 billion cloud infrastructure deal.
  • xAI & Meta: Ongoing partnerships to supply the massive capacity required for large-scale AI systems.

To meet this surging demand, Oracle has significantly revised its fiscal 2026 spending. Initial projections of $35 billion in capital expenditure have been increased by an additional $15 billion, bringing potential spending to $50 billion. To fund this buildout, the company may raise up to $50 billion in new capital, a move that has drawn scrutiny from investors regarding rising debt levels.

As of May 2025, Oracle employed approximately 162,000 people. However, the first half of the current fiscal year saw a reported $10 billion cash burn, contributing to a share price decline of over 15% in 2025.

Oracle, led by Chairman Larry Ellison, is scheduled to release its third-quarter earnings on March 10, 2026. These results are expected to provide further clarity on the company’s workforce strategy and its long-term AI investment roadmap.

Priyanshi Kharwade

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