A significant portion of private credit portfolios consists of loans to software companies, which were underwritten based on predictable, recurring revenue. AI is now fundamentally disrupting these business models, threatening to devalue the very collateral that underpins billions of dollars in these 'safe' loans.
The most crucial skill for surviving financial crises is not investment selection, but the ability to trace the chain of cause and effect. Understanding who creates, packages, sells, and ultimately holds risk allows one to see systemic dangers like the 'risk waterfall' before they cause widespread damage.
Lenders allow struggling borrowers to skip cash interest payments by adding the amount to the loan's principal balance. This practice, called 'Payment in Kind' (PIK), hides defaults, artificially inflates asset values, and creates a deceptively low official default rate, masking escalating risk within the system.
Sophisticated financial players create and package risky assets, then sell them downstream through pension funds, insurance companies, and now potentially 401(k)s. This 'risk waterfall' ensures that when the underlying assets fail, the losses cascade down to the least informed participants who were told the investments were safe.
The Basel III regulations, intended to de-risk the financial system by making risky lending expensive for banks, had an unintended consequence. The demand for risky loans didn't vanish; it simply migrated from the regulated banking sector to the opaque, unregulated private credit market, creating a new systemic risk.
Funds offer investors quarterly liquidity while holding illiquid, 5-7 year corporate loans. This duration mismatch creates the same mechanics as a bank run, without FDIC insurance. When redemption requests surge, funds are forced to sell long-term assets at fire-sale prices, triggering a potential collapse.