The long-running boom in the private credit market is finally being tested in a meaningful way.
Recent messaging from Goldman Sachs suggests that the fundamental rules of the credit cycle haven't been repealed; they've just reappeared in a new form, centered on the twin pressures of high interest rates and artificial intelligence. This isn't just a theoretical risk anymore; it's a stress test playing out in real-time.
The causal chain begins with the macroeconomic environment. The Federal Reserve's decision to hold interest rates at elevated levels has put sustained pressure on middle-market companies, which are the primary borrowers in the private credit space. Since most of these loans are floating-rate, tied to benchmarks like SOFR, high rates directly translate to heavier interest burdens, straining cash flows and making defaults more likely.
Then came the technology shock. In February 2026, a sharp, global selloff in software stocks was triggered by fears that new AI agents could make many existing applications obsolete. This was a direct threat to private credit lenders who had eagerly financed these 'asset-light' tech companies during the boom years. Suddenly, questions about the actual recovery value of these loans, which lack hard assets as collateral, became urgent.
This tech-specific anxiety quickly morphed into broader liquidity concerns. In early March, Blackstone's massive BCRED fund faced record redemption requests, forcing it to lift its usual limits to meet investor demands. Around the same time, Blue Owl, a lender with significant tech exposure, had to restrict withdrawals in one of its funds. These events sent a shiver through the market, reminding everyone that liquidity in private markets can be fragile.
Against this backdrop, Goldman Sachs has been carefully distinguishing itself. In a letter to investors, the firm highlighted its relatively low Q4 redemption rate (3.5%) and a manageable 15.5% exposure to enterprise software. More importantly, it revealed that it had implemented an internal AI disruption risk framework back in early 2025 and had even passed on a deal in late 2023 specifically due to AI-related concerns. This proactive stance on underwriting quality is a clear signal of discipline in a market that is starting to look nervous. The cycle is turning, and the market is beginning to separate the prudent from the overly aggressive.
- Private Credit: Loans made by non-bank lenders directly to companies, often those that are too small or risky for the public bond markets.
- Underwriting: The process of evaluating a borrower's creditworthiness and the risks associated with lending to them before approving a loan.
- Asset-light: A business model where a company has relatively few capital assets compared to its operations. Software companies are a prime example.