• Asks about contagion risk in credit markets given recent warnings.
    Host
  • Victor Khosla
    High yield credit market is $5.5T but relatively small; software disruption is a 'big stick' adding to existing stress.
  • Questions UBS report warning of 15% AI-triggered default surge in debt markets.
    Host
  • Victor Khosla
    UBS scenario is worst-case; tail risk in credit is now 'fat' due to software disruption uncertainty.
  • Asks if software exposure to AI is as severe as feared, citing NVIDIA CEO's more moderate view.
    Host
  • Victor Khosla
    AI will destroy segments, not all, of software; problems will emerge where private equity overpaid for growth.
  • Questions timeframe of disruption relative to credit asset durations.
    Host
  • Victor Khosla
    Less concerned about deep US recession; more concerned credit at 300bps spreads is mispriced.
  • Asks how mispricing corrects and why he's smiling.
    Host
  • Victor Khosla
    Correction happens over 3-6 months, not instantly; volatility creates opportunity for lending/turnarounds.
  • Compares current opportunity pipeline to early 2022.
    Host
  • Victor Khosla
    Pipeline grew from $75B (100 deals) pre-rate hikes to $300B today.
  • Asks about debt financing for AI hyperscalers/software companies and market receptivity.
    Host
  • Victor Khosla
    These companies issue in investment grade at tight spreads; we target 15% returns, so not our market.
  • Asks about AI exposure in real economy companies like steel.
    Host
  • Victor Khosla
    AI can add $50-75M EBITDA in steel via better scrap purchasing; must invest to capture value.
  • Asks about AI productivity vs. job destruction narrative.
    Host
  • Victor Khosla
    Primary AI disruption is in high-knowledge businesses; 40% of our portfolio is real assets (infrastructure, real estate) insulated from that.
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