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.

While AI tools threaten the value of vertical SaaS companies heavily funded by private credit, this isn't a systemic risk. The same AI tools enable broader productivity gains across the economy, creating more value than is lost in these specific private credit deals. The market is also less interconnected than the 2008 mortgage market.

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 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.

Private credit funds are exposed on two fronts: they are financing the massive debt rounds for AI infrastructure and also hold debt for traditional SaaS companies. As AI companies pitch a future where they render SaaS obsolete, it creates instability and default risk across these private credit portfolios.

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.

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.

A significant portion of private credit is concentrated in software companies. Many of these loans were made when rates were low, often with high leverage and weak terms. The emergent threat of AI-driven disruption to their business models now adds a new layer of fundamental risk to this already vulnerable cohort.