Investors face a dilemma where spreads are near record lows, suggesting little room for further gains and making new investments unattractive. However, the fundamental backdrop, while challenging, is not weak enough to justify selling existing positions, creating a state of cautious paralysis.
Despite a challenging macro environment, credit spreads remain tight not due to fundamentals but to massive, spread-agnostic demand from yield-based buyers like pensions and insurance companies, who represent over $6.4 trillion in holdings and are increasing allocations.
Unlike M&A financing with a clear deleveraging path, the AI investment cycle represents a permanent use of debt capacity. This unprecedented scale requires investors to re-evaluate long-term credit risk, concentration limits, and ratings for hyperscaler companies.
Despite concerns over higher rates, the peak in default activity for this cycle likely occurred in late 2024. The market has already flushed out many weaker borrowers through distressed exchanges, and absent a sharp economic downturn, a new, sustained wave of defaults is not expected.
Evaluating new, heterogeneous AI-related project finance deals requires a specific framework beyond traditional corporate credit analysis. Investors should focus on the "Three Cs": Construction risk, the quality of the tenant Claim (hyperscaler), and Coverage (refinancing risk at term end).
Contrary to bearish narratives, Q1 data shows private credit metrics are experiencing a slight normalization rather than a widespread fundamental crisis. While non-accruals have ticked up, realized losses remain below trend, suggesting the asset class is resilient outside of a major economic downturn.
Traditional analysis focusing on BBB-rated companies with negative outlooks misses significant risk. Data since 2010 shows roughly 50% of companies falling from investment grade to high yield did not have these obvious warning signs, making credit risk assessment more complex.
The outlook for European credit is more negative than for the U.S. The region is more dependent on energy imports, lacks the AI-driven earnings momentum seen in the U.S., and faces a more aggressive ECB hiking cycle. This justifies forecasts for wider peak spreads and a slower recovery in Europe.