Ten31 Timestamp: Bitcoin Fixes the Energy Problem

Marty Bent and John Arnold unpack AI's rapid disruption, financial tail risks, and the agentic economy—urging builders, investors, and policymakers to prepare and push Bitcoin into machine payments.

Key Takeaways

AI may automate knowledge work faster than consensus expects; assign ~10% realistic tail risk and investors should rebalance portfolios while gaining hands‑on experience with advanced models.
Managerial inertia slows internal disruption, but solo developers and open‑source wrappers can quickly displace incumbents—adopt tooling and monitor developer ecosystems closely.
Financial tail risk is real: AI‑driven software losses plus high leverage could cascade through private credit, possibly requiring new Fed facilities; track credit exposures to software debt.
Machine‑payable web momentum: Lightning L402, dev kits and integrations lower barriers—builders can implement Bitcoin agent payments today; prioritize adding Bitcoin 'taste' in agent flows.
Bitcoin adoption in agentic payments won’t be automatic; major firms will default to other rails unless the community actively promotes and implements Bitcoin payment primitives.
Policy and social preparedness lag technical progress: CBO and governments currently ignore detailed AI disruption scenarios—plan for reskilling, unemployment shocks, and coordinated responses.

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