Ares (ARES) Faces Private Credit Risk as AI Disrupts Enterprise Software Borrowers

Ares Confronts Private Credit Risk as AI Upsets Enterprise Software Borrowers

Ares Management is facing a test in its private credit franchise as new AI tools from Anthropic threaten the business models of enterprise software firms that make up a significant share of private lending portfolios. The unveiling of those AI capabilities sparks investor re‑pricing in software segments and shines a spotlight on unitranche and other private loan structures that have underpinned software buyouts since 2020. Market data from PitchBook and industry watchers show enterprise software is a preferred target for private credit originations, leaving managers with concentrated exposure when an industry disruption accelerates.

The core concern is that AI models are now designed to perform complex professional tasks that many incumbent software vendors charge for, which can weaken recurring revenue and cash flow profiles that lenders rely on. That dynamic matters across roughly a $3 trillion private credit market because many of the largest unitranche loans back software and tech deals; weakness in borrower cash flows can flow directly into higher default risk, covenant breaches and requests for loan extensions. UBS warns that in an aggressive disruption scenario U.S. private credit default rates could climb to about 13%, well above current default rates for leveraged loans and high‑yield bonds, creating a stress test for lenders with extended, illiquid exposures.

For Ares, the immediate implications include potential valuation and liquidity pressure on existing private credit holdings, tougher surveillance of borrower covenants, and the need to reassess underwriting assumptions for new deals. Portfolio managers are likely intensifying stress tests on software exposures, revisiting covenant packages and evaluating whether to seek structural protections or tighter terms on future originations. The sector’s illiquidity—unitranche instruments are difficult to trade quickly without price concessions—compounds the challenge, increasing the likelihood of mark‑to‑market adjustments and operational demands on fund liquidity and investor reporting.

Software Concentration and Market Metrics

Industry data show software represents about 17% of U.S. business development companies’ investments by deal count, second only to commercial services, reflecting the heavy private credit tilt toward the sector since 2020. That concentration means shocks to software revenue models can have outsized effects on credit portfolios disproportionately weighted to that segment.

Analysts’ Views on Covenant and Liquidity Strains

Analysts and academics, including Jeffrey C. Hooke, note that many private credit portfolios already face strains—liquidity shortfalls and loan extensions predate the latest AI concerns—so the emergence of more capable AI tools may add a new stressor. They say the key questions for managers such as Ares are how fast borrowers can adapt, whether covenants provide timely remedies, and how quickly illiquid loan structures can be re‑priced or restructured without systemic fallout.