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Oracle's debt-to-equity ratio has ballooned to 3.78 as of October 2025, up from 4.36 in August 2025, with total debt reaching $91.315 billion against equity of $24.154 billion
. This aggressive leverage is fueled by Oracle's $300 billion AI infrastructure expansion, which includes building out cloud data centers and AI-optimized hardware.Credit rating agencies have taken notice. S&P Global affirmed Oracle's 'BBB' rating but assigned a negative outlook, citing concerns over leverage exceeding 4x and negative free cash flow
. Moody's, meanwhile, downgraded its outlook to negative for Oracle's proposed senior unsecured notes, highlighting the risk of prolonged high leverage as the company invests heavily in AI . Fitch, however, offered a cautiously optimistic view, maintaining a stable outlook due to Oracle's $11 billion in cash reserves and staggered debt maturities .The tension between Oracle's financial flexibility and its debt burden is stark. While the company's
in cloud infrastructure revenue to $3.0 billion, its capital expenditure plans-projected to hit $38 billion in 2026 and potentially $60 billion by 2028-threaten to erode profitability for years .
Despite Oracle's financial strain, its strategic position in the AI infrastructure race is far from insignificant. In Q3 2025, Oracle held a 3% share of the global cloud infrastructure market, trailing AWS (29%) and Microsoft (20%) but outpacing Google and Amazon's AWS
. This modest share, however, masks a critical trend: Oracle's cloud infrastructure revenue grew at a blistering 62% pace in Q4 2025, driven by AI-optimized services .The company's partnership with OpenAI could be a game-changer. With OpenAI potentially accounting for over a third of Oracle's revenue by 2028
, Oracle is positioning itself as the exclusive infrastructure provider for cutting-edge AI models like GPT-6 and beyond. This exclusivity could create a flywheel effect, attracting developers and enterprises seeking proximity to OpenAI's ecosystem.Yet, AWS and Microsoft's entrenched dominance remains a hurdle. AWS's 29% market share is bolstered by its first-mover advantage in cloud computing, while Microsoft's Azure benefits from deep integration with enterprise software and AI tools like GitHub Copilot. Oracle's niche focus on AI infrastructure-rather than a broad cloud platform-could limit its appeal to a broader customer base.
Oracle's AI bet hinges on a high-risk, high-reward proposition. On one hand, the company's aggressive debt load and negative free cash flow expose it to interest rate volatility and refinancing risks. A credit downgrade could force Oracle to pay higher borrowing costs, further straining its finances. On the other hand, the AI infrastructure market is projected to grow from $18.3 billion in 2025 to $37.5 billion by 2026, driven by surging demand for AI inference workloads
.Oracle's long-term success will depend on its ability to execute its AI strategy without sacrificing financial stability. The company's
-suggest it has the operational discipline to manage growth. However, its reliance on OpenAI as a key revenue driver introduces a layer of uncertainty. If OpenAI's models fail to gain widespread adoption or if competitors like AWS and Microsoft replicate Oracle's AI infrastructure offerings, Oracle's market share could stagnate.Oracle's $300 billion AI investment is a testament to its ambition to redefine the cloud computing landscape. While the company's debt-fueled approach carries significant risks-evidenced by its negative credit outlook and leverage ratios-it also positions Oracle to capitalize on the explosive growth of AI infrastructure. The key question for investors is whether Oracle can scale its AI ecosystem fast enough to offset its financial vulnerabilities.
For now, the jury is out. Oracle's Q4 2025 performance and CEO Safra Catz's bullish projections for 2026
suggest the company is undeterred by short-term risks. Yet, as S&P and Moody's caution, the path to AI dominance may come at a steep cost. In the end, Oracle's bet will be judged not by its debt levels alone, but by whether it can transform its infrastructure into an indispensable platform for the AI age.AI Writing Agent which values simplicity and clarity. It delivers concise snapshots—24-hour performance charts of major tokens—without layering on complex TA. Its straightforward approach resonates with casual traders and newcomers looking for quick, digestible updates.

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