Deterioration, Dislocation or Repricing?
Beneath the noise, conditions remain nuanced. Across most portfolios, stress is idiosyncratic rather than systemic. Performance varies significantly by sector, leverage profile and vintage. What may appear as broad deterioration often reflects dispersion, not widespread weakness. Private credit also behaves differently from public markets. Outcomes are inherently binary: credits either perform, or they do not. As a result, price discovery tends to be episodic, helping explain the persistent divergence between secondary pricing, headlines and NAVs.
The key question is not whether volatility exists, but whether firms can distinguish temporary dislocation from structural impairment.
Here, robust valuation frameworks, high-quality data and independent challenge mechanisms are critical. Increasingly, leading firms are reinforcing their approach through structured, governance-led processes that combine data, sector expertise and rigorous oversight, ensuring valuations remain consistent, defensible and resilient under scrutiny.
AI, Software and Sector Exposure
No discussion of private credit today is complete without considering artificial intelligence.
Its impact is two-sided. On one hand, it is challenging long-held assumptions around traditionally defensive sectors such as software and services. Obsolescence risk is becoming more tangible, underwriting is more forensic, and lenders are managing exposure with greater precision, on a deal-by-deal basis rather than through broad sector allocation.
At the same time, AI is creating new lending opportunities, particularly across infrastructure such as data centres, computing capacity and energy.
The challenge for lenders is clear: capture the upside, while avoiding overexposure to short-term hype cycles. Achieving this requires rigorous diligence, disciplined structuring and a highly selective approach.