Software, once a defensive haven for credit investors, faces a major threat from AI. AI's ability to standardize data and workflows could disrupt legacy SaaS companies, making the 30% of direct lending portfolios concentrated in software a significant, overlooked risk.

The most significant risk in software-focused private credit isn't established companies but those underwritten on Annual Recurring Revenue (ARR) multiples instead of cash flow. These high-growth, non-cash-flowing businesses may never reach profitability if disrupted by AI, creating a major potential vulnerability.

While public software stocks have dropped 20-30% on fears of AI disruption, credit markets, particularly private credit, remain confident. Lenders are protected by low leverage multiples (1-6x EBITDA) and a substantial equity cushion, making them less sensitive to equity valuation shifts.

While AI may devalue software companies backed by private credit, this won't trigger a 2008-style crisis. The argument is that these losses will be contained within the software sector. Furthermore, AI's broad productivity gains will likely create an economic expansion that outweighs the damage to these specific portfolios.

Despite market fears about AI disrupting software companies, underlying private credit loans are structured defensively. They are often written at a 30% loan-to-value, meaning there is a 70% equity cushion before the lender's principal is at risk.

Software's heavy presence in leveraged loan (<15%) and private credit (>20%) portfolios makes these markets more vulnerable to AI disruption than high-yield bonds (<5%). This concentration risk is already visible, with the distressed universe of leveraged loans growing 50% year-to-date, a stress not yet seen in the bond market.

A significant portion of private credit portfolios consists of loans to software companies, which were underwritten based on predictable, recurring revenue. AI is now fundamentally disrupting these business models, threatening to devalue the very collateral that underpins billions of dollars in these 'safe' loans.

Private credit funds have taken massive market share by heavily lending to SaaS companies. This concentration, often 30-40% of public BDC portfolios, now poses a significant, underappreciated risk as AI threatens to disintermediate the cash flows of these legacy software businesses.

While leverage multiples are similar across the market, Neuberger targets companies acquired at high purchase price multiples (avg. 17x). This strategy results in a significantly lower loan-to-value ratio, providing a larger equity cushion and reducing the lender's ultimate risk.