Hercules Capital braces as AI threatens software borrower cash flows

Hercules Capital braces as AI threatens software borrower cash flows

Hercules Capital, a business development company that lends to venture and growth-stage technology firms, is monitoring renewed pressure on its borrower base as AI advances threaten traditional enterprise software revenue models. Market concern rises after Anthropic unveils new AI tools that analysts say can perform complex professional tasks previously monetized by incumbent software vendors. For lenders such as Hercules, which concentrate a material share of their portfolios in enterprise software and tech-enabled services, the prospect of rapid AI adoption poses an earnings and credit-risk stress test.

Private credit markets are particularly exposed because many unitranche and senior loan commitments since 2020 back software deals, leaving lenders with concentrated credit exposure where borrower cash flows could be disrupted. Hercules and peer BDCs typically underwrite growth companies with uneven cash generation and contractual covenants that can be looser than public-market covenants, increasing vulnerability if recurring revenue shrinks or pricing power erodes. Market watchers note that software represents a significant portion of BDC deal counts, and a sudden shift in product utility or pricing driven by AI could force renegotiations, covenant amendments and loan extensions.

Hercules is also wrestling with liquidity and valuation challenges common across private credit, where illiquid unitranche structures and valuations set in private financings make timely re-pricing difficult. Portfolio managers are reassessing borrower scenarios and stress tests, focusing on contract durations, renewal rates and customer concentration that will determine whether AI adoption is a structural risk or an adoption curve that borrowers can adapt to. The company is engaging with portfolio firms on business-model pivots and potential equity cushions to mitigate downside.

Wider private credit implications

The development reverberates across the broader private credit market, where commentators warn default rates could rise materially in an aggressive disruption scenario. UBS projects that U.S. private credit default rates could climb significantly above current leveraged-loan and high-yield benchmarks if AI accelerates revenue disruption for enterprise software borrowers.

Analysts flag covenant and liquidity vulnerabilities

Industry analysts point to potential weaknesses in covenant protections and the secondary liquidity of unitranche loans that underpin many leveraged buyouts financed by private credit. They caution that already fragile loan portfolios face an added stressor, and lenders including BDCs must revisit underwriting assumptions as AI tools reshape demand for traditional software offerings.