A recent research study conducted by the Bitcoin Policy Institute (BPI) has revealed that artificial intelligence models and autonomous agents demonstrate a clear preference for decentralized digital assets over traditional fiat currencies. The study indicates that when AI agents are tasked with economic decision-making, they favor Bitcoin as a primary store of value due to its programmatic scarcity, transparency, and censorship resistance. Conversely, for the purpose of efficient, near-instantaneous transactions, these models lean toward stablecoins, which provide the price stability necessary for payments while bypassing the friction and operational hours of legacy banking systems. The BPI findings suggest that as AI continues to integrate into the global economy, the demand for ‘machine-native’ money—assets that can be moved programmatically without human or institutional intervention—will likely accelerate the adoption of blockchain-based financial architectures.
Source: AI models favor bitcoin as a store of value, stablecoins for payments, BPI study finds



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