Why Miners Are Trading BTC For AI Compute w/ Rory Murray & Chris Bae
Macro, mining, and market-structure collide: experts unpack accelerating cycles, miner maturation, liquidity mechanics, and practical hedges for digital-asset risk management.
Key Takeaways
- Market cycles and narratives accelerate: HFT, 24/7 trading, and real-time covariance force quicker markdowns and higher cross-asset correlation.
- Bitcoin mining matured to a margin era—consolidation, hedging, S19/S21 upgrades, and treasury strategies now stabilize operations and returns.
- Risk frameworks drive outcomes: lookback windows, quarterly redemption cycles, and capital structure amplify forced selling and mark-to-market losses.
- Private credit and illiquid vehicles pose scale risk; redemption mechanics, continuation funds, and liquidity mismatches can transmit stress beyond asset quality.
- Perpetuals and cross-exchange mechanics caused Ten Ten-style wicks—auto-deleveraging and low liquidity can cascade rapid, large losses.
- Faster information flow raises insider/front-running and ethical risks; onshore counterparties, transparent governance, and treasury tooling are essential for institutional adoption.
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Why Miners Are Trading BTC For AI Compute w/ Rory Murray & Chris Bae
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