AI豪赌的代价：甲骨文(ORCL.US)CDS成本飙升2倍，成对冲AI崩盘新工具

Core Viewpoint - Oracle has significantly increased its debt, aligning its future with the artificial intelligence (AI) trend, becoming a key indicator of AI-related credit risk in the market [1]. Group 1: Credit Default Swaps and Market Activity - Traders have increasingly turned to Oracle's credit default swaps (CDS) as a hedge against AI-related risks, with the cost of protecting against a five-year debt default rising twofold to a peak of 1.11% [1]. - The trading volume of Oracle's CDS surged to approximately $5 billion over seven weeks ending November 14, compared to just over $200 million during the same period last year [1]. - Market liquidity is expected to perpetuate further liquidity, as noted by a trading executive [1]. Group 2: Stock Performance and Investor Sentiment - Oracle's stock price has reflected growing investor concerns, with its market value shrinking by about one-third from September 10 to the recent close [2]. - Despite the high CDS prices, there is a prevailing market belief that Oracle, rated with a triple investment grade and a market cap of approximately $620 billion, is unlikely to default soon [5]. Group 3: AI Investments and Debt Projections - Oracle is one of the largest investors in AI, participating in the "Gateway to the Stars" project, which aims to invest $500 billion in AI infrastructure [5]. - A consortium of about 20 banks will provide approximately $18 billion in project financing for data center construction in New Mexico, with Oracle as the lessee [5]. - Morgan Stanley analysts project Oracle's net adjusted debt will more than double to around $290 billion by fiscal year 2028 [6]. Group 4: Broader Market Implications - It is estimated that companies may issue about $1.5 trillion in high-grade bonds for AI-related investments over the next few years, impacting various debt markets [6]. - Citadel Securities anticipates that ultra-large computing companies will net issue around $100 billion in high-grade bonds this year, marking the lowest level for the following year [6].