The buildout of AI infrastructure, specifically data centers, is projected to require five trillion dollars in financing over the next five years. J.P. Morgan analysts note that credit markets, including leveraged finance, are the primary source for this capital, with market sentiment shifting from fear to a focus on allocating these massive deals.
Software's heavy presence in leveraged loan (<15%) and private credit (>20%) portfolios makes these markets more vulnerable to AI disruption than high-yield bonds (<5%). This concentration risk is already visible, with the distressed universe of leveraged loans growing 50% year-to-date, a stress not yet seen in the bond market.
Unlike restarting conventional oil production, restarting a liquefied natural gas (LNG) facility is a complex and risky process. The extreme temperature changes, from -260°F to ambient and back, cause metal components to expand and contract, which can lead to equipment failure. This makes the supply chain for LNG much more fragile and slow to recover from disruptions.
Historical analysis of distressed cycles in sectors like energy and retail shows that roughly one-third of the industry's debt defaulted over a two-year period. Applying this precedent to the software sector, which has approximately $300 billion in debt, suggests a potential default wave of around $100 billion if current pressures continue.
J.P. Morgan has significantly increased its 2027 default forecast for leveraged loans by 100 basis points to 4.5%, citing disruption in the software sector. In contrast, the forecast for high-yield bonds was only raised by 25 basis points to 2.25%, highlighting a dramatic divergence in expected credit performance between the two asset classes.