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Private Credit Default Rates to Reach 8%, Morgan Stanley Says
ABI Analysis
·
Pan-African
finance
Sentiment: -0.75 (negative)
·
16/03/2026
The private credit market, which has experienced unprecedented growth over the past five years, is bracing for a significant credit deterioration cycle. Morgan Stanley's recent analysis projects that default rates in direct lending vehicles could climb to 8%, a substantial increase from current levels and a warning signal for European investors who have increasingly deployed capital into this asset class as traditional banking channels have tightened. This projected spike in defaults reflects a fundamental shift in the underlying economics of software companies—a sector that has historically represented a substantial portion of direct lending portfolios. The culprit is artificial intelligence, which is fundamentally disrupting traditional software business models and challenging the revenue stability that lenders have long relied upon when underwriting these credits. For European entrepreneurs and institutional investors, this development carries profound implications. Over the past decade, direct lending has become an increasingly attractive alternative to traditional bank financing, particularly for European-based software and technology companies seeking growth capital. The asset class promised stable, predictable returns through senior secured debt positions, often backed by covenant-heavy structures and regular monitoring. However, the rapid acceleration of AI adoption is rendering portions of this thesis obsolete. The disruption mechanics are straightforward: artificial intelligence
Gateway Intelligence
European investors holding direct lending positions in software and tech-enabled services should conduct immediate stress-testing against AI disruption scenarios, with particular focus on companies lacking clear competitive moats or digital-native business models. Consider tactical exits from generalist technology lenders while simultaneously identifying opportunities to deploy fresh capital into AI-infrastructure providers and companies solving AI implementation challenges—sectors likely to benefit from the margin compression affecting legacy software. For growth-stage European founders, secure direct lending commitments now before underwriting standards tighten materially, but ensure your business model explicitly addresses AI-driven market disruption in your capital raise narratives.
Sources: Bloomberg Africa
United Arab Emirates·16/03/2026