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Oracle to raise up to US$50 billion for AI cloud buildout as shares slip

Oracle plans US$45–50 billion in fundraising to expand cloud capacity for AI customers. Investors worry about higher debt and near-term margin pressure.

Oracle to raise up to US$50 billion for AI cloud buildout as shares slip
Oracle to raise up to US$50 billion for AI cloud buildout as shares slip
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By Torontoer Staff

Oracle shares fell about 4 per cent in premarket trading after the company disclosed plans to raise between US$45-billion and US$50-billion this year to expand its cloud infrastructure to support artificial intelligence workloads. The fundraising announcement intensified investor concerns about a rising debt burden and possible near-term pressure on margins.
Oracle said the expansion is intended to meet contracted demand from major customers that include AMD, Meta, Nvidia, OpenAI, TikTok and xAI. The company’s chairman, Larry Ellison, has pushed the firm into the AI infrastructure market, and the scale of the planned spending underscores Oracle’s commitment to that strategy.

How Oracle plans to fund the buildout

Oracle expects to raise the funds through a roughly even mix of equity and debt. The package may include equity-linked securities, common stock, a new at-the-market program of up to US$20-billion, and the issuance of senior unsecured bonds planned for early next year.
  • Equity-linked securities and common stock
  • At-the-market program up to US$20-billion
  • Senior unsecured bond issuance

Investor concerns and market signals

Investors have questioned whether a large capital push across the technology sector for AI infrastructure will deliver sustained returns. Market measures of credit stress for Oracle have already shown strains. Cost of insuring the company’s debt against default rose to its highest level in at least five years in December, and a bondholder lawsuit filed in January has added scrutiny.

The perception is that Oracle’s fortunes are now heavily tied to OpenAI and combined with the company’s plans to raise up to $50-billion to invest in 2026, nervousness about the situation looks unlikely to go away any time soon.

Russ Mould, investment director at AJ Bell
Analysts flagged additional risks to near-term profitability. Jefferies noted the financing plan ‘‘buys time’’ for Oracle’s AI ambitions but warned it could weigh on margins, and projected that free cash flow is unlikely to turn positive until fiscal 2029. Bernstein analysts said the mix of debt and equity should support Oracle’s investment-grade credit rating and help reduce uncertainty around the timing and cost of future financing.

The financing plan buys time for Oracle’s AI ambitions but could weigh on margins in the near term.

Jefferies analysts

What this means for customers and competitors

For corporate customers that need large-scale compute for generative AI, Oracle’s expansion could increase capacity and provide an alternative to the hyperscale cloud providers. For shareholders, the trade-off is between potential revenue from long-term contracts and the near-term dilution and leverage that come with large fundraising.
  • Customers cited by Oracle: AMD, Meta, Nvidia, OpenAI, TikTok, xAI
  • Potential benefits: increased cloud capacity and contracted demand fulfilment
  • Potential downsides: higher debt, margin pressure, and shareholder dilution

Outlook and next steps

Oracle plans to move forward with the funding programme in the near term, including launching bond sales early next year. How the market prices Oracle’s stock and credit will depend on execution, the pace of customer uptake for AI services, and whether the company can begin to generate positive free cash flow within the timeline analysts expect.
Investors will watch upcoming earnings, updates on contract conversions into revenue, and any further details on the structure and timing of the equity and debt instruments. These signals will shape whether the market views the raise as a necessary step to capture AI demand, or as an elevated risk to shareholder returns.
Oracle’s move highlights how major enterprise software providers are positioning for growth in AI, while also underscoring the financial trade-offs involved in scaling large cloud operations.
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