AI泡沫担忧加剧，甲骨文债务恐慌指标创2009年以来新高

Core Viewpoint - Concerns about an AI bubble are escalating in the credit market, highlighted by Oracle's credit default swap (CDS) costs reaching their highest level since the 2009 financial crisis, indicating investor anxiety over the imbalance between massive AI investments and expected returns [1][3]. Group 1: Credit Market Indicators - Oracle's CDS prices rose to approximately 1.28% at the close in New York, marking the highest level since March 2009, and have more than doubled from a low of 0.36% in June [1][3]. - The surge in CDS prices reflects market worries about the vast capital expenditures in the AI sector, with Oracle having issued hundreds of billions in bonds recently, making its CDS a key tool for investors hedging against potential AI downturns [3][4]. Group 2: Debt Levels and Market Sentiment - Oracle is the lowest-rated among major cloud service providers, with a total debt of approximately $105 billion as of the end of August, including $95 billion in dollar bonds that are part of the Bloomberg U.S. Corporate Bond Index [4]. - The trading volume of Oracle's CDS has surged to about $5 billion over seven weeks, compared to just over $200 million in the same period last year, indicating heightened investor interest in hedging against its debt [4]. Group 3: Historical Context and Future Projections - The rising cost of default protection signals investor anxiety about the timing gap between massive AI investments and productivity gains or profit growth [5]. - Predictions suggest that the spending spree on AI infrastructure and power capacity will continue into next year, with U.S. investment-grade bond issuance expected to reach a record $2.1 trillion by 2026, having already surpassed $1.57 trillion this year [6]. Group 4: Supply and Demand Dynamics in Credit Markets - A new wave of large-scale bond issuance may overwhelm buyers, leading companies to offer higher yields to attract investors, with spreads expected to reach 100 to 110 basis points above benchmark rates next year [7]. - Historical precedents exist where industries have leveraged significantly without disastrous outcomes, but concerns remain about the credit quality of debt investments as companies continue to invest heavily in AI [7].