The private credit market's $3 trillion pile isn't collapsing from rate exposure—it's being systematically harvested by AI trading systems that can process covenant structures faster than human analysts can read them. These algorithms aren't just finding mispriced risk; they're creating asymmetric information advantages that make traditional credit analysis obsolete. What appears as market stress is actually a repricing event where human-dependent financial institutions lose their edge to computational systems that can model correlation breakdowns in real-time. The distress isn't random—it's following predictable patterns that only emerge when you can process thousands of credit agreements simultaneously and identify structural weaknesses before they cascade. Bitcoin's climb during this credit unwind isn't flight-to-quality behavior. It's algorithmic capital allocation recognizing that monetary assets with programmatic rules outperform credit instruments dependent on human judgment when information processing speed becomes the primary competitive advantage.