AI Shock Threatens Software Borrowers, Raises Risk for Ares (ARES) and Private Credit

Introduction: AI-driven shock to software borrowers draws lender attention

Anthropic’s recent launch of advanced AI models is prompting fresh scrutiny of the borrowers that underpin a large portion of the private credit market, investors and analysts say. The new tools are designed to perform complex professional tasks that many incumbent software vendors charge for, accelerating concerns that adoption may outpace borrowers’ ability to adapt and placing pressure on cash flows for enterprise software firms — a favoured borrower segment for private lenders since 2020.

Concentrated software exposure threatens private-credit lenders like Ares

Ares Management, along with other managers that built large private-credit franchises, faces heightened portfolio risk because many private loan books are concentrated in enterprise software. Industry data and market watchers show a marked shift into software since 2020, with numerous unitranche facilities backing tech deals; PitchBook notes software accounts for roughly 17% of U.S. business development companies’ investments by deal count, second only to commercial services. That concentration means disruptions to software business models can transmit quickly through covenant structures and cash-flow profiles that private lenders rely on.

The structure of many private-credit commitments — illiquid unitranche loans and other bespoke agreements that underpin leveraged buyouts — magnifies concerns over valuation, covenant protections and secondary liquidity. Analysts warn that if AI adoption erodes recurring revenue or compresses pricing power for software vendors, borrowers may face downgrades, extensions or liquidity shortfalls that are harder to resolve in a market where loans are less tradable. For firms such as Ares, which have sizeable exposure to these borrowers, that raises questions about credit-loss provisioning, portfolio stress testing and the resilience of negotiated covenants.

Structure risks: unitranche prevalence and market scale

Private credit now represents a roughly $3 trillion market, and unitranche and other single-document senior-secured loans are common in mid-market buyouts. The bespoke nature of these credits reduces transparency and can limit the effectiveness of traditional market mechanisms to reprice or exit exposures quickly.

Analysts’ caution and downside scenarios

UBS warns that in an aggressive AI-driven disruption scenario, U.S. private-credit default rates could rise to about 13%, well above historical defaults for leveraged loans and high‑yield bonds, a projection that highlights the magnitude of potential stress. Jeffrey C. Hooke of Johns Hopkins adds that liquidity shortfalls and loan extensions predate the latest AI fears, meaning the sector may now confront an additional shock on already fragile footing.