Insurance has always been about predicting risk, but quantum computing is turning that predictability into a competitive edge. Lucas and Luna dig into how early adopters like Munich Re and startup SandboxAQ are using quantum algorithms to refine catastrophe modeling, portfolio reinsurance pricing, and longevity risk. They walk through a specific 2025 pilot where a quantum model outperformed classical Monte Carlo on hurricane-loss distributions by 12% — and why that margin matters when you're pricing billions in exposure. The conversation also touches on where quantum fits alongside AI in the underwriting stack, the data quality bottleneck that still slows adoption, and why the first trillion-dollar insurance market cap may be built on quantum-powered actuarial science. A concrete look at how an old-industry stalwart is quietly placing bets on a technology that doesn't fully exist yet.

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