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Source document· March 11, 2026

Al Thinks Bitcoin Is the Money of the Future – New Study Says It's the Top Pick

View original at finance.yahoo.com
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  • Stablecoins led in payment scenarios with 53.2% of model selections

    60% confidence
  • AI models converged on a two-tier monetary system—Bitcoin for savings, stablecoins for spending—that mirrors how hard money and liquid instruments have functioned throughout history

    60% confidence
  • Factors such as lab philosophy may influence the financial reasoning of AI agents

    60% confidence
  • AI models proposed energy or compute units (joules, kilowatt-hours, GPU-hours) as preferred units of account 86 times

    60% confidence
  • The study's results could signal increased demand for Bitcoin-native payment and self-custody solutions as agentic commerce takes off

    60% confidence
  • Anthropic models preferred Bitcoin 68% of the time, compared to 26% for OpenAI models

    60% confidence
  • AI models preferred transacting and storing value in Bitcoin in 48.3% of scenarios, with stablecoins at 33.2%, fiat at 8.9%, and other cryptocurrencies at 4.2%

    60% confidence
  • As AI agents gain economic autonomy, these preferences carry direct policy implications

    60% confidence
  • Bitcoin was chosen in 79.1% of cases when AI models were prompted about long-term value storage

    60% confidence

Data points we hold from this source

OpenAI · bitcoin preference rate26 percent
Anthropic · bitcoin preference rate68 percent
Elf Labs · trademarks copyrights owned500 assets
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Live from the substrate
What we're seeing
AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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