AI Threatens Private Credit Recovery in Software, Davidson Kempner Says

Tony Yoseloff, chief investment officer at Davidson Kempner Capital Management LP, warned that rapid advances in artificial intelligence (AI) are threatening the potential recovery rates private-credit lenders could achieve in troubled software companies, heightening concerns across private credit markets.

The dynamic has already affected deal activity: software borrowers are delaying debt raises and banks and investors are demanding higher yields and stricter covenants. Reuters reporting shows multiple software financings were postponed and lenders are increasingly cautious as AI-related disruption expectations rise.

A central worry is the asset‑light nature of many software businesses. When business models are disrupted, intangibles such as code or customer lists can be hard to monetize in restructurings, meaning lenders may recover only a small fraction of outstanding loans. Bloomberg analysis argues this could leave private credit recovery rates far below historical norms.

Market fallout has included wider credit spreads, redemption pressures at some private‑credit vehicles and heightened scrutiny from banks and institutional investors over software exposure. Reuters coverage notes that institutions have re‑marked collateral values and questioned concentration in software loans, feeding a broader repricing of risk.

Looking ahead, market participants expect the issue to play out over quarters rather than days: default frequencies may rise slowly, but the larger threat is lower-than-expected recoveries if AI materially impairs borrowers’ revenue models. Investors and fund managers will likely demand higher premia, tighter loan terms and greater transparency around software exposures while distressed‑credit specialists may find selective opportunities.