Date: February 24, 2026 11:41 PM UTC (updated February 25, 2026 12:10 PM UTC)
Key takeaway
UBS Group AG projects that private credit default rates could reach 15% in a worst-case scenario. This projection is two percentage points higher than the firm's forecast from less than a month earlier and is contingent on an "aggressive" disruption among corporate borrowers driven by artificial intelligence.
What UBS outlines
- Worst-case default rate: 15% in private credit.
- Change versus prior outlook: +2 percentage points versus the firm’s forecast under a prior baseline less than one month earlier.
- Trigger scenario: an "aggressive" AI-driven disruption to corporate borrowers' cash flows and credit profiles.
Implications for professional investors
- Valuation and loss assumptions: A 15% default rate materially raises expected loss assumptions used in portfolio stress testing and pricing models for private credit exposure.
- Liquidity management: Institutions should reassess liquidity cushions and covenant protections given elevated downside tail risk.
- Risk budgeting: Risk allocations to private credit strategies may require reweighting or additional hedging to reflect higher downside scenarios.
Tickers and coverage
Tickers referenced: UBS (UBS), PM, UTCA, AG
(Use these tickers in portfolio screens and risk-reporting tools to tag private credit exposure where applicable.)
Quotable, citation-ready sentence
"UBS projects private credit defaults could reach 15% in a worst-case scenario — two percentage points higher than its forecast from less than a month earlier — if AI triggers an 'aggressive' disruption among corporate borrowers."
Action checklist for traders and analysts
- Re-run private credit stress tests using a 15% default assumption.
- Review covenant and collateral quality across private loan positions.
- Monitor issuer-level signs of AI-driven operational disruption in sectors with elevated private credit exposure.
This summary preserves UBS's core projection and timing while highlighting the direct numerical and conditional details that institutional investors and analysts need for immediate risk assessment.
