Private Credit Faces Software Shock as Default Warnings Hit 15%
UBS warns AI disruption could push private credit defaults to unprecedented levels, exposing $600-750 billion in software exposure as the $3.5 trillion market confronts its first major stress test.
Private credit’s software problem has escalated from warning to crisis, with strategists now projecting default rates could surge to 15% in a worst-case AI disruption scenario—triple the stress forecast for traditional credit markets.
The alarm comes as the Bloomberg-reported UBS analysis raises its default projection by two percentage points in under a month, citing accelerating artificial intelligence adoption that threatens the business models of legacy enterprise software firms. Those companies represent the single largest borrower category across private credit portfolios, with exposure estimated between 20% and 35% of the $3.5 trillion market.
Software loans have been the engine of private credit’s explosive growth. From 2015 to 2025, Private Equity acquired more than 1,900 software companies in deals worth over $440 billion, according to SaaStr analysis, with private credit providing much of the financing. The investment thesis centered on recurring revenue, high margins, and customer lock-in—characteristics now under assault as AI agents automate tasks that software companies charge per-seat fees to perform.
The Leverage Stack
The structural vulnerabilities extend beyond sector concentration. CNBC reports that software companies account for the largest share of payment-in-kind loans—arrangements where borrowers defer cash interest payments by adding to principal. PIK usage has surged from 7.4% of deals in Q3 2021 to over 11% in Q2 2025, according to data from Lincoln International, a signal that borrowers are already under cash flow pressure before AI disruption accelerates.
Marathon Asset Management CEO Bruce Richards warned in June 2025 that software sector defaults could reach three times the rate of traditional markets, describing the sector as problematic for private credit investors capped at par. That assessment, delivered on Bloomberg, has proven prescient as AI concerns intensify.
Valuation Opacity Meets Duration Risk
The crisis exposes private credit’s core structural weakness: illiquid loans valued by the lenders who originated them, held in portfolios with five-to-seven-year maturities. Unlike public markets where price discovery is continuous, private credit marks can lag fundamental deterioration by quarters. Redemption pressure is already materializing—Blackstone’s BCRED faced withdrawal requests reaching 4.5% of shares outstanding, while Blue Owl’s technology-focused fund experienced the largest outflows among major private credit vehicles in late 2025.
The Federal Reserve’s June 2025 stress tests found private credit exposures would not threaten systemic stability even under severe scenarios, with bank loss rates on nonbank financial intermediary loans reaching 7%. However, those tests preceded the current AI disruption concerns and software sector stress, which emerged in force during Q4 2025 and early 2026.
For institutional investors, the opacity creates asymmetric risk. Business development companies—the most transparent slice of private credit—show software comprising 17% of investments by deal count, second only to commercial services. The true exposure across less transparent private credit funds remains difficult to quantify, particularly as some software companies are misclassified under broader categories to obscure concentration risk, according to Bloomberg analysis.
The Maturity Wall Looms
Timing compounds the pressure. A maturity wall approaches in 2027 when 6% of outstanding software loans come due, based on UBS data. Borrowers must refinance into a market where lenders are reassessing software credit quality in real time. Companies that appeared stable when loans were originated in 2021-2023 now face questions about whether AI will erode their competitive moats over the remaining loan life.
The divergence in projected stress reflects private credit’s concentrated exposure and structural characteristics. Leveraged loans and high-yield bonds are diversified across industries, with technology representing 17% of leveraged loans versus software’s 20-25% weight in private credit portfolios. Asset-light software business models offer strong margins in stable environments but provide limited collateral value in distress, reducing recovery rates for senior lenders.
Not all market participants share the pessimism. Brookfield CEO Bruce Flatt told Bloomberg Television that private credit and software loans represent too small a portion of the global credit market to pose systemic risk. Some lenders are leaning in—Blue Owl, Goldman Sachs, Blackstone, HPS, and Golub Capital provided $1.4 billion to finance Hg’s $6.4 billion acquisition of OneStream in February 2026, pricing in wider spreads as compensation for elevated risk.
What to Watch
Quarterly BDC redemption figures and NAV markdowns will provide the first hard data on whether private credit managers are recognizing deterioration or delaying writedowns. Payment-in-kind usage trends signal borrower stress before defaults materialize. Software sector M&A activity and exit multiples will determine whether private equity sponsors can recapitalize struggling portfolio companies or face equity wipeouts that push losses to creditors. The gap between public software equity valuations and private credit loan marks—loans trading near par while equity values have fallen 20% year-to-date—suggests price discovery has only begun. Default rates in 2026 are forecast to rise about 2 percentage points to around 6% in base case scenarios, according to Advisor Perspectives, but the tail risk now extends to 15% if AI adoption accelerates faster than software companies can adapt their business models.