The rise of powerful AI tools threatens the business models of many software-as-a-service (SaaS) companies. This jeopardizes their future revenue, making it difficult to refinance loans originated at near-zero interest rates. This is a fundamental, technology-driven risk to a large segment of private credit.
Despite significant risks from AI disruption, geopolitics, and Fed policy, credit spreads are at historic lows. This paradoxical combination indicates that markets are not adequately pricing in potential negative outcomes, creating a dangerous environment for investors.
Quarterly redemption limits in retail private credit funds, designed for stability, can have a perverse effect. To meet withdrawals, funds sell their most liquid and highest-quality loans first. This progressively worsens the quality of the remaining portfolio, potentially intensifying future redemption requests from concerned investors.
A significant valuation gap exists where private credit funds use 'mark-to-model' to value software loans near par. Meanwhile, similar loans in the public CLO market trade at significant discounts (e.g., 70 cents on the dollar). This discrepancy conceals unrealized losses and creates future repricing risk for fund investors.
The rapid growth of private credit during the zero-interest-rate period parallels the pre-2008 subprime mortgage boom. In both cases, immense capital inflows created pressure to originate assets, leading to rushed due diligence and a degradation of underwriting standards to fill the newly created investment vehicles.
To mitigate risk in the rapidly evolving data center sector, the firm adopts a short-term, opportunistic approach. They avoid older, obsolete facilities and remain cautious of the massive new supply of debt hitting the market. This 'dating' strategy focuses on capturing value without long-term commitment to a potentially obsolete asset.
Companies that used private credit when public markets were closed are now refinancing back into the liquid public markets. The borrowers left behind in private credit vehicles are often those who cannot access public financing, suggesting a lower credit quality and creating a portfolio of adversely selected risk.