Exploring the convergence of Bitcoin, AI, and longevity technologies—the Sustainable Abundance Triad
The convergence of Bitcoin and artificial intelligence isn't coincidental—it's thermodynamically inevitable. Understanding why requires examining the fundamental nature of both intelligence and proof-of-work. Explore how Bitcoin's proof-of-work mechanism creates the perfect economic foundation for artificial general intelligence, aligning AI incentives with energy truth.
Read full articleHow three seemingly unrelated technologies—Bitcoin, AI, and longevity science—converge to transition humanity from scarcity to abundance economics. Understanding the thermodynamic logic of systemic abundance.
Read moreArtificial intelligence systems require sound money even more urgently than humans. Here's why Bitcoin becomes essential infrastructure for AGI. The trust problem, time preference, and economic autonomy explained.
Read moreThe single biggest obstacle isn't technical—it's persuading boards to approve allocation. Here's the Saylor-inspired framing that converts skeptics: redefining risk from "volatility" to "dilution."
Read moreWhile US regulatory uncertainty persists, Mexico offers clear frameworks for Bitcoin-integrated financial services. ArcadiaB's ASOFOM certification proves the path exists. Here's the LatAm advantage.
Read moreThe custody decision reveals more about organizational culture than technical preferences. Level 2 companies choose institutional custody. Level 3 companies build multi-sig governance. Here's the diagnostic.
Read more0.5-2% is experimentation. 5-15%+ is conviction. But 2-5% is the strategic sweet spot: material enough to matter, conservative enough to defend. Why most corporate implementations land here.
Read moreAI agents don't "adopt" Bitcoin because humans programmed them to. They choose it through pure engineering logic: verifiable scarcity, permissionless access, programmatic certainty. The convergence is inevitable.
Read more"Too volatile" → discuss risk types. "Too risky" → reframe opportunity cost. "Too early" → quantify waiting cost. "Could lose keys" → explain multi-sig. Here's the playbook.
Read more$1M+ purchases need OTC desks to minimize slippage. But execution timing matters more than most CFOs realize. Here's the framework for lump-sum vs dollar-cost averaging decisions.
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