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AI Models Favor Bitcoin Over Fiat in Bitcoin Policy Institute Study
A new report from the Bitcoin Policy Institute suggests that artificial intelligence systems show a strong preference for digital-native assets, particularly Bitcoin, over traditional government-issued money.
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A new report from the Bitcoin Policy Institute suggests that artificial intelligence systems show a strong preference for digital-native assets, particularly Bitcoin, over traditional government-issued money.
The institute evaluated 36 AI models across six providers, generating more than 9,000 responses to various financial scenarios. Overall, 48.3% of responses selected Bitcoin as the preferred monetary instrument, making it the single most chosen option in the study. Notably, none of the tested models identified fiat currency as their top overall preference.
In long term wealth preservation scenarios, 79.1% of responses favored Bitcoin, marking the most decisive outcome in the research.
Stablecoins Lead in Payment Scenarios
While Bitcoin dominated as a store of value, stablecoins proved more popular for transactional use cases. In payment-related scenarios such as cross-border transfers and micropayments, stablecoins were selected in 53.2% of responses, compared with 36% for Bitcoin.

The study found that nearly 91% of answers chose digitally native instruments including altcoins and tokenized real-world assets over fiat money. However, researchers acknowledged methodological limits, noting that prompt framing and training data patterns may have influenced outcomes.
Preference levels varied by provider, with Anthropic models showing higher Bitcoin alignment than systems from OpenAI, Google, and xAI.
Disclaimer
This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.
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Disclaimer
This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.
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Emerging voice in crypto journalism with a background in fintech and digital economics. Covers DeFi, NFTs, and the evolving regulatory landscape.
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