The end of “safe” software debt
For over a decade, enterprise software was the gold standard of private credit, underwritten against the “invincibility” of recurring revenue and per-seat pricing. However, as Artificial Intelligence fundamentally reshapes the enterprise landscape, these once-durable moats are evaporating. At Cardo AI, we are observing a structural shift: software portfolios are facing unprecedented stress as AI-driven disruption challenges the very metrics used to underwrite them.
The decay of seat-based underwriting
AI-driven efficiency is breaking the link between headcount and revenue. Much of existing software debt was sized on the assumption of steady “headcount expansion.” As AI automates knowledge work, enterprises are achieving greater output with fewer licensed users. In seat-based structures, this workforce optimization translates directly into revenue contraction. Even if a customer remains “active,” shrinking contract values are putting immediate pressure on capital structures that were sized for high net retention and growth.
The death of the multi-year moat
Innovation speed is eroding long-term revenue visibility. Historically, high switching costs and slow innovation cycles protected software vendors and their lenders. Today, AI accelerates feature replication, allowing competitors to bridge gaps in months rather than years. Consequently, enterprises are shortening contract durations to preserve flexibility. This trend weakens cash flow duration, a critical failure for lenders who underwrote multi-year stability into their original leverage assumptions.
Integrated technology
Margin compression via “Compute COGS” is the new covenant risk. The “90% gross margin” SaaS dream is under threat from variable, usage-linked computing expenses like GPU utilization and inference tokens. If vendors cannot pass these costs to customers, gross margins compress, triggering EBITDA-based covenant breaches even while top-line revenue remains flat. To navigate this “SaaS credit paradox,” lenders must move beyond static reporting and use integrated platforms to model margin volatility in real-time. Cardo AI provides the infrastructure to monitor these shifting unit economics, turning opaque software portfolios into transparent, resilient credit strategies.