Oaktree's Panossian Says Private Credit Correction Not Systemic

Watch on YouTube ↗  |  April 02, 2026 at 14:54  |  16:42  |  Bloomberg Markets

Summary

  • Armen Panossian frames the private credit market correction as non-systemic, driven by specific loan vintages and sectors rather than broad asset class failure.
  • Software sector weakness is central, with AI disruption (especially agentic AI) posing binary risks to legacy SaaS companies, leading to drastic markdowns and credit losses.
  • Pre-2022 vintage loans are particularly problematic, originating during ultra-low rates without pricing for AI risk, and now face higher loan-to-values as valuations decline.
  • BDCs (Business Development Companies) with tech exposure experience redemption pressures and trade at steep discounts, though asset sales remain orderly for now.
  • Oaktree has prepared by avoiding risky loan structures like PIK (paid-in-kind) and recurring revenue loans, maintaining liquidity, and leveraging its distressed debt expertise to capitalize on volatility.
  • Spreads are widening outside software but not to stress levels, indicating a recalibration rather than a crisis; the correction is in its early stages.
  • Leverage providers (e.g., banks) reducing credit could force capital solutions or fire sales, but systemic distress is unlikely without a confidence crisis.
  • Geopolitical events (e.g., war in Iran, Straits of Hormuz closure) and oil prices above $100 pose recession risks that could deepen the correction if sustained.
  • Credit selection is paramount as declining rates shift return profiles from rate-driven to spread-driven income.
Trade Ideas
Armen Panossian co-CEO and head of performing credit at Oaktree Capital Management 9:47
Panossian explicitly states that software companies face high AI disruption risk, and Oaktree has avoided non-cash pay interest loans (e.g., PIK, recurring revenue loans) associated with software due to inadequate compensation. AI, particularly agentic AI, can rapidly displace legacy software businesses, leading to binary outcomes and severe credit losses, especially in levered portfolios where software exposure is significant. AVOID the technology services sector, specifically software companies within private credit, due to unpredictable AI risks, potential for drastic markdowns, and high investment hurdles. Slower-than-expected AI progression or successful adaptation by software companies could make avoidance overly conservative, missing recovery opportunities.
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This Bloomberg Markets video, published April 02, 2026, features Armen Panossian discussing XLK. 1 trade idea extracted by AI with direction and confidence scoring.

Speakers: Armen Panossian  · Tickers: XLK