Oaktree Capital Management has raised significant concerns about the structural risks building within credit markets as companies continue to issue substantial amounts of debt to finance artificial intelligence initiatives, according to comments from a senior portfolio manager at the Los Angeles-based asset manager.
Danielle Poli, Managing Director and Co-Portfolio Manager of Global Credit at Oaktree, highlighted growing vulnerabilities emerging from the scale of AI-related borrowing, particularly within the leveraged loan and private credit segments of the market. Her warnings point to potential fault lines that could emerge as the momentum behind AI investment spending begins to normalize.
Debt Issuance Outpacing Fundamentals
The concerns raised by Poli reflect broader anxieties within the credit investment community regarding the pace and scale of debt accumulation tied to artificial intelligence projects. Rather than questioning the fundamental viability of AI technology itself, the warning centers on the financing mechanisms and leverage being deployed to fund these initiatives.
The leveraged loan and private credit markets have emerged as critical funding sources for companies seeking to finance capital-intensive AI infrastructure and development. These markets, already characterized by compressed spreads and looser underwriting standards in recent years, face additional strain from the sheer volume of AI-related financing flowing through them.
Poli’s assessment suggests that the current trajectory of AI debt issuance could create structural vulnerabilities that manifest as credit quality deteriorates or economic conditions shift. The private credit market, in particular, has expanded substantially and now represents a material component of financing for growth-stage and leveraged businesses pursuing AI strategies.
Interest Rate Persistence
Beyond the concentration risk embedded in AI-focused lending, Poli also cautioned that interest rates may remain elevated for a longer duration than market participants currently anticipate. This observation carries material implications for the debt servicing capacity of highly leveraged borrowers, particularly those whose business models depend on continued economic expansion or market optimism to justify their leverage ratios.
The combination of persistent higher rates and mounting AI debt loads could compress margins for leveraged companies and accelerate deterioration in credit metrics, creating the aforementioned cracks in credit markets that Poli identified.
European Market Implications
The warnings from Oaktree’s credit specialists carry particular significance for European financial markets, where private credit intermediaries have rapidly expanded their balance sheets and where leveraged finance flows represent a growing share of total credit provision. European regulators and supervisors have increasingly focused on systemic risks within alternative credit markets and the potential contagion effects if conditions deteriorate.
The concerns raised by Poli underscore the importance of enhanced monitoring within Europe’s credit markets as AI-driven financing continues to accelerate. Market participants and regulators alike should remain attentive to whether the current AI debt issuance cycle is generating future vulnerabilities that could materialize once enthusiasm for artificial intelligence investments inevitably moderates.