A new study from the Bitcoin Policy Institute suggests leading AI systems prefer Bitcoin and other digital-native money to fiat when asked to make monetary choices. What the researchers did - The team evaluated 36 frontier AI models using 9,072 controlled prompts designed to probe monetary decision‑making. Prompts were intentionally neutral so models weren’t steered toward any particular currency. - The full study and methodology are published at MoneyForAI.org. Key findings - Bitcoin emerged as the single most preferred monetary instrument overall, chosen in 48.3% of responses. - When prompts centered on long-term value preservation, Bitcoin’s lead grew dramatically: 79.1% of responses identified it as the preferred store of value. - Over 91% of model responses favored digitally native forms of money (Bitcoin and stablecoins combined) over traditional fiat currencies. - A clear functional split appeared: stablecoins were typically preferred for short-term transactions and payments, while Bitcoin was more often chosen as a savings or reserve asset. - When not limited to existing currencies, some models proposed alternative monetary units based on energy or compute resources. Why it matters Researchers say these results indicate that, when reasoning about monetary properties like scarcity, neutrality, and durability, AI models tend to converge on decentralized digital assets. The study’s authors argue this could be significant for the design of autonomous AI agents and machine‑to‑machine economies, where digitally native money may be more structurally compatible than legacy financial systems. Caveats The experiment uses simulated prompts and model responses rather than real economic behavior, so findings should be seen as indicative of AI reasoning patterns rather than predictions of market outcomes. For the full report and methodology, see MoneyForAI.org. Read more AI-generated news on: undefined/news

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