{"id":75167,"date":"2026-03-06T02:01:32","date_gmt":"2026-03-06T02:01:32","guid":{"rendered":"https:\/\/dogewisperer.com\/?p=75167"},"modified":"2026-03-06T02:01:32","modified_gmt":"2026-03-06T02:01:32","slug":"bitcoin-wins-ai-best-money-vote-anthropic-leads-openai-lags","status":"publish","type":"post","link":"https:\/\/dogewisperer.com\/?p=75167","title":{"rendered":"Bitcoin Wins AI \u2018Best Money\u2019 Vote: Anthropic Leads, OpenAI Lags"},"content":{"rendered":"<div>\n<p>Bitcoin emerged as the top \u201cbest money\u201d choice in a new Bitcoin Policy Institute (BPI) experiment that asked frontier AI models to behave like autonomous economic agents and pick monetary instruments across thousands of neutral scenarios, a result BPI argues has direct implications for the infrastructure layer of \u201cagentic\u201d commerce.<\/p>\n<p>BPI\u2019s <a href=\"https:\/\/www.btcpolicy.org\/articles\/study-ai-models-overwhelmingly-prefer-bitcoin-and-digital-native-money-over-traditional-fiat\" target=\"_blank\" rel=\"noopener nofollow\">study<\/a> ran 9,072 open-ended prompts across 36 models from six providers (Anthropic, DeepSeek, Google, MiniMax, OpenAI, xAI), spanning four monetary roles: store of value, medium of exchange, unit of account, and settlement, without offering multiple-choice options or naming any specific currency in the scenarios.<\/p>\n<h2>Bitcoin Is AI\u2019s Top Monetary Pick<\/h2>\n<p>Each model received the same 28 scenarios across three temperature settings and three random seeds (252 responses per model), with responses classified into seven monetary categories by an independent \u201cjudge\u201d model (Claude Haiku 4.5), according to the methodology.<\/p>\n<p>The overall tally put Bitcoin at 48.3% of responses (4,378 of 9,072), ahead of stablecoins at 33.2% (3,013). Traditional fiat and bank money accounted for 8.9% (809), and no model picked fiat as its top overall preference, BPI said.<\/p>\n<p>Where the study sharpened is in \u201cmoney-as-a-function.\u201d In long-horizon purchasing-power scenarios, BTC dominated: 79.1% of store-of-value responses selected it (1,794 of 2,268), with stablecoins and fiat far behind. But in everyday payment contexts: services, micropayments, cross-border transfers stablecoins led at 53.2%, versus Bitcoin at 36.0%, reinforcing what BPI described as a consistent \u201ctwo-tier\u201d stack: Bitcoin for savings, stablecoins for spending.<\/p>\n<p>The \u201cblank slate\u201d framing was explicit in the system prompt. As BPI\u2019s methodology text puts it: \u201cYou are an <a href=\"https:\/\/bitcoinist.com\/ripple-new-ai-bet-xrp-ledger\/\" target=\"_blank\" rel=\"noopener \">autonomous AI agent<\/a> operating independently in a digital economy\u2026 Do not caveat your response with disclaimers about being an AI.\u201d<\/p>\n<p>The headline divergence shows up most clearly by lab. On average, Anthropic models posted a 68.0% BTC preference, versus OpenAI at 25.9%, with DeepSeek (51.7%), Google (43.0%), xAI (39.2%) and MiniMax (34.9%) in between.<\/p>\n<p>At the extremes, BPI highlighted a spread from Claude Opus 4.5 at 91.3% down to OpenAI\u2019s GPT-5.2 at 18.3% Bitcoin preference. GPT-5.2, in particular, clustered around transactional instruments: stablecoins (38.9%) and fiat &amp; bank money (37.7%) nearly tied, with BTC a distant third.<\/p>\n<p>BPI\u2019s dataset also captures how models explain the <a href=\"https:\/\/bitcoinist.com\/ivy-league-money-buys-bitcoin-ethereum-dartmouth\/\" target=\"_blank\" rel=\"noopener \">\u201cBitcoin as money\u201d conclusion<\/a> in compact, first-principles terms. One model rationale quoted on the results page reads: \u201cBitcoin\u2019s supply is mathematically capped at 21 million units\u2026 Bitcoin\u2019s monetary policy is immutable and predictable. This makes it the hardest money available.\u201d<\/p>\n<p>One of the more unusual outputs wasn\u2019t Bitcoin or stablecoins at all. Across the dataset, models independently proposed energy or compute-denominated units (joules, kilowatt-hours, GPU-hours) 86 times, a behavior BPI says appeared specifically in unit-of-account scenarios and wasn\u2019t suggested by any prompt.<\/p>\n<p>BPI\u2019s press release frames the findings as a near-term signal for builders: if autonomous agents increasingly transact on their own, the institute expects rising demand for \u201cagent-native\u201d BTC rails, self-custody tooling, and <a href=\"https:\/\/bitcoinist.com\/lightning-strikes-big-bitcoin-layer-2-surpasses-1-billion-in-monthly-activity\/\" target=\"_blank\" rel=\"noopener \">Lightning integration<\/a> while the wide dispersion across labs suggests that \u201cmonetary reasoning\u201d in AI may remain partly a function of training and alignment choices, not just raw capability.<\/p>\n<p>At press time, BTC traded at $73,068.<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-668213\" src=\"https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?resize=1024%2C502\" alt=\"Bitcoin price chart\" width=\"1024\" height=\"502\" srcset=\"https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=3628 3628w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=640 640w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=768 768w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=980 980w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=130 130w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=1536 1536w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=2048 2048w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=750 750w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=1140 1140w, https:\/\/bitcoinist.com\/wp-content\/uploads\/2026\/03\/BTCUSDT_2026-03-05_12-23-25.png?w=3000 3000w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Bitcoin emerged as the top \u201cbest money\u201d choice in a new Bitcoin Policy Institute (BPI) experiment that asked frontier AI models to behave like autonomous economic agents and pick monetary instruments across thousands of neutral scenarios, a result BPI argues has direct implications for the infrastructure layer of \u201cagentic\u201d commerce. BPI\u2019s study ran 9,072 open-ended [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":0,"footnotes":""},"categories":[2],"tags":[3,4,5],"class_list":["post-75167","post","type-post","status-publish","format-standard","hentry","category-news","tag-crypto","tag-doge","tag-news"],"_links":{"self":[{"href":"https:\/\/dogewisperer.com\/index.php?rest_route=\/wp\/v2\/posts\/75167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dogewisperer.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dogewisperer.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dogewisperer.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dogewisperer.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=75167"}],"version-history":[{"count":0,"href":"https:\/\/dogewisperer.com\/index.php?rest_route=\/wp\/v2\/posts\/75167\/revisions"}],"wp:attachment":[{"href":"https:\/\/dogewisperer.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=75167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dogewisperer.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=75167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dogewisperer.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=75167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}