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ORCL

Investology > Sector Atlas > Information Technology > Application Software & SaaS > ORCL
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The $105 Billion AI Bet: Is Oracle’s Bond Market Stress a Systemic Risk?

Oracle’s credit risk has sharply repriced, with its 5-year CDS spiking to the highest level since 2009—roughly tripling from mid-year—as investors hedge a debt-funded AI expansion with uncertain payback. Its balance sheet now resembles a leveraged AI infrastructure project, carrying about $105B in total debt and roughly $95B in U.S. bonds, making it the largest non-bank issuer in major indices; leverage is above 4× debt/EBITDA, and levered free cash flow is negative as capex surges. Rating agencies still keep Oracle investment grade but have moved outlooks to Negative, citing massive AI cloud commitments and sustained negative free cash flow. Across the AI complex, more than $200B in related bond issuance has come to market as hyperscalers and data-center operators raise capital aggressively. Systemic risk is creeping higher, but Oracle itself is viewed as a stress indicator—not a systemic trigger—in the emerging AI credit web.
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Salesforce After Q3 FY26 Earnings: High-Margin AI Platform, Solid Growth

Salesforce delivered a quarter that was operationally excellent but not growth-explosive: Revenue around $10.3B, growing high single digits year-on-year. Non-GAAP operating margin in the mid-30s, at or near record levels. Free cash flow above $2B for the quarter, with healthy double-digit growth. AI stack (Agentforce, Data Cloud, Einstein) now represents meaningful, recurring ARR, scaling quickly off a small base. Guidance frames high-single-digit to low-double-digit top-line growth with mid-30s non-GAAP margin for the full year. The equity story is shifting from “hyper-growth CRM pioneer” to “AI-enhanced, cash-rich enterprise platform compounder.”
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The Magnificent 7 vs. The AI Infrastructure Play

The Magnificent 7 are expensive, cash-burning AI believers trading at 31-40x free cash flow while promising returns that might not materialize. A better bet is the companies selling them the shovels - the AI Infrastructure Compounders 7 (AIC-7), who are generating cash today while the hyperscalers burn through $417 billion this year alone.