AI threatens enterprise software borrowers, risking Ares Management’s private credit portfolio

Ares’s private credit franchise confronted by AI-driven threat to software borrowers

Ares Management faces growing pressure as the rapid rollout of advanced AI tools threatens the business models of enterprise software companies that make up a sizable portion of private credit borrowers. Market observers note that since 2020 unitranche and other private credit facilities have heavily financed software deals, and that many of these loans sit in illiquid structures that are sensitive to borrower cash-flow shocks. The introduction of highly capable models from firms such as Anthropic is intensifying concerns that incumbent software vendors may see demand and pricing pressure if AI substitutes for features they currently monetise.

The immediate risk for Ares stems from potential weakening of borrower cash flows, which can increase default rates and complicate recoveries in loans that lack active trading markets. Analysts highlight that unitranche loans and other bespoke private credit instruments typically have limited covenant flexibility and lower liquidity, making them vulnerable if borrowers experience rapid revenue erosion. For a manager with a large private credit franchise, this raises questions about current underwriting assumptions, concentration limits in enterprise software, and the operational readiness to restructure or extend troubled credits without crystallising losses.

Industry participants caution that vulnerabilities predate the latest AI developments and the new tools may act as an additional shock to already fragile segments. Jeffrey C. Hooke of Johns Hopkins warns that many private credit portfolios are concentrated in software and that strains such as liquidity shortfalls and extended repayment schedules are already present. Credit officers and investors are increasingly focused on stress-testing scenarios that incorporate aggressive AI adoption, reassessing covenant protections, and reviewing valuation frameworks for loans backing software-enabled leveraged buyouts.

Wider private credit implications and metrics

Market research firms and banks are sounding broader alarms: PitchBook documents enterprise software as a favoured private credit sector and notes its significant representation across U.S. BDC investments, while UBS models an aggressive disruption scenario in which private credit default rates could rise markedly. That outlook is prompting lenders and asset managers to reassess sector exposures and contingency plans.

Analysts add that Anthropic-style models designed to perform complex professional tasks may accelerate substitution faster than borrowers can adapt. The industry response centres on tightening diligence on software borrowers, recalibrating recovery assumptions for illiquid loan structures, and expanding monitoring for early signs of cash-flow deterioration.