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 recent software stock drawdown is not about poor current performance; many companies are still beating earnings. Instead, the market is pricing in a massive "terminal value risk" from AI, valuing companies as if they will decline in perpetuity, creating a historic disconnect between current fundamentals and long-term valuation.

A large concentration of private credit lending is in the software sector, particularly SaaS businesses. The rise of powerful AI tools that can replicate software services cheaply poses a direct threat to the viability of these companies, creating a hidden risk concentration within private credit portfolios where there are few hard assets to recover.

The downturn in software stocks isn't tied to current earnings. Instead, investors are repricing the entire sector, removing the premium they once paid for its perceived safety and stable, long-term contracts, which are now threatened by AI disruption.

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.

The primary threat of AI to software isn't rendering it obsolete, but rather challenging its growth model. AI will make it harder for SaaS companies to implement annual price increases and will compress valuation multiples, creating stress for over-leveraged firms from the zero-interest-rate era.

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.

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.

The recent software stock sell-off is rooted in investors' inability to confidently price long-term growth (terminal value). While near-term earnings might be strong, the uncertainty of future business models due to AI is causing a fundamental reassessment of what these companies are worth.