UBS has significantly raised its worst-case default projection for private credit to 15%, signaling a major shift in how markets view risk in this growing asset class.
The primary driver is the escalating fear of AI-driven disruption. Until recently, AI was seen as a long-term productivity booster. However, recent events have reframed it as an immediate threat to corporate cash flows. First, a claim by AI company Anthropic that its model could modernize old COBOL programming language sent IBM's stock down 13%, its worst day in over two decades. This showed how quickly AI could erode the stable service revenues of established tech companies—the very companies that are major borrowers in private credit portfolios. Second, a viral "AI doomsday" report, though extreme, amplified market anxiety about widespread job losses and credit stress, pushing investors to price in more severe downside risks.
Compounding these fears is a shift from liquidity concerns to solvency questions. This was triggered when Blue Owl, a major private credit manager, halted regular investor redemptions from a key fund. To return capital, it had to sell off $1.4 billion in loans. Shortly after, hedge funds began offering to buy out trapped investors' shares at steep discounts of 20-35% to their stated value (NAV). This sent a clear signal: the problem isn't just that it's hard to get your money out; it's that the underlying loans might not be worth what the funds claim they are, especially if AI shocks their borrowers' earnings.
This is all happening against a tough macroeconomic backdrop. The Federal Reserve is holding interest rates high to combat inflation. Most private credit loans have floating interest rates, meaning borrowing costs for these companies remain elevated. This sustained pressure squeezes their finances, leaving them with little cushion to absorb a sudden drop in revenue from something like AI disruption.
In essence, UBS's new 15% default forecast isn't just a number; it's a story of converging risks. Pre-existing fragilities, like a quiet rise in stressed loans (known as "bad PIK"), made the system vulnerable. The recent, sharp shocks from AI and liquidity freezes acted as a catalyst, transforming a slow burn into a potential wildfire. While this is a worst-case scenario, the sharp drop in the stock prices of major credit managers shows that investors are now taking this tail risk very seriously.
- Glossary
- Private Credit: Direct lending to companies by funds and institutions, rather than through public markets like bonds.
- Floating-Rate Loan: A loan where the interest rate changes over time, typically based on a benchmark rate like SOFR.
- NAV (Net Asset Value): The total value of a fund's assets minus its liabilities, often expressed on a per-share basis.