Core Insights - The five major AI hyperscalers (Google, Meta, Amazon, Microsoft, and Oracle) are significantly increasing their debt levels this year, issuing a total of $121 billion, which is four times their average annual debt over the past five years [1][2][3] Debt Issuance - The total debt issued by these companies in 2023 is $121 billion, with Meta alone accounting for $27 billion for a new data center in Los Angeles, and Amazon issuing $15 billion on November 17 [2][3] - Historically, these companies averaged $28 billion in debt issuance annually over the last five years, indicating a substantial increase in borrowing [3] Market Impact - The influx of investment-grade corporate bonds has widened the spreads for these companies, with Oracle's spreads increasing by 48 basis points, Meta's by 15 basis points, and Google's by 10 basis points since September [4] - The widening of spreads ranges from 27% to 49%, indicating underperformance compared to the overall investment-grade index [4] Future Debt Expectations - Analysts predict that the debt levels for these AI hyperscalers will continue to rise, with an expected additional $100 billion in debt issuance over the next year [5] - Despite generating sufficient cash flow to cover operations, the increasing debt complicates the investment case for these stocks [5] AI Investment Plans - Amazon plans to invest approximately $100 billion in capital expenditures in AI by 2025 [6] - Meta has committed to investing at least $600 billion over the next few years, with $70-$72 billion earmarked for AI capital expenditures in 2025 [7] - Alphabet (Google) has raised its AI expenditure forecast to $85 billion for 2025 and recently announced a $15 billion investment in India for an AI data center [7] - Microsoft and Oracle are also making significant investments in AI, contributing to their status as AI hyperscalers [8]
Google, Meta, Amazon, Microsoft and Oracle issued $121 billion in debt to fund AI bets — 4x than usual: Report