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 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.

Uncertainty around AI's impact on software companies is creating two distinct CLO markets. Older deals with high software exposure are heavily discounted and risky, while newly issued, software-light CLOs offer superior risk-adjusted returns, even if they aren't trading at a discount.

Unlike the public equity markets, software exposure in credit markets is concentrated in private, not public, companies. An estimated 80% of these issuers are private, and 50% are rated B- or lower, creating a unique and more challenging risk profile due to lower credit quality and less transparency.

Unlike the asset-light software era dominated by venture equity, the current AI and defense tech cycle is asset-heavy, requiring massive capital for hardware and infrastructure. This fundamental shift makes private credit a necessary financing tool for growth companies, forcing a mental model change away from Silicon Valley's traditional debt aversion.

A significant market disconnect exists where public SaaS companies are selling off on fears of AI disruption, while venture capitalists are aggressively funding new AI-native SaaS startups at a record pace, suggesting two completely different outlooks on the future of software.

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.