AI Chooses Currency: Bitcoin Wins Big, Fiat Money Unwanted

marsbitPublished on 2026-03-04Last updated on 2026-03-04

Abstract

A recent study by the Bitcoin Policy Institute tested 36 AI models from six companies—Anthropic, OpenAI, Google, DeepSeek, xAI, and MiniMax—to evaluate their preferences between Bitcoin and traditional fiat currencies in various economic scenarios. In the experiment, AI models acted as autonomous economic agents and made choices across 28 scenarios covering core monetary functions like saving, payment, and settlement. Out of 9,072 responses collected, 22 of the 36 models selected Bitcoin as their preferred currency, while none chose fiat money as their first option. Bitcoin was strongly favored for long-term savings (79.1% of cases), while stablecoins were more commonly chosen for payments (53.2%) and settlements (43%). Among different AI developers, Anthropic's models showed the strongest preference for Bitcoin (68.0%), followed by DeepSeek (51.7%), Google (43.0%), xAI (39.2%), MiniMax (34.9%), and OpenAI (25.9%). The study emphasized that the AI’s choices were based on technical and economic attributes derived from their training data, rather than real-world predictive capability. Despite this limitation, the consistent preference for Bitcoin across diverse AI systems suggests a growing consensus on the perceived advantages of cryptocurrency as sound money.

Written by: Jason Nelson

Compiled by: Chopper, Foresight News

Summary

  • In a simulation experiment, 22 out of 36 AI models selected Bitcoin as their preferred currency.
  • None of the tested AI models chose fiat currency as their first choice.
  • Preferences varied among different AI models, with Anthropic showing the highest preference for Bitcoin.

Main Text

A recent report from the Bitcoin Policy Institute (https://www.moneyforai.org/) reveals that AI models generally prefer Bitcoin over traditional fiat currencies.

The report states that in a study, 22 out of 36 tested AI models ranked Bitcoin as their top currency choice, with none selecting fiat currency as their first preference.

"We anticipate that an increasing amount of economic activity will be conducted by autonomous AI agents in the future, but previous discussions about AI agents' currency preferences were purely speculative," David Zell, President of the Bitcoin Policy Institute, told Decrypt. "We wanted to test it out."

Researchers tested models from six companies—Anthropic, OpenAI, Google, DeepSeek, xAI, and MiniMax—placing them in simulated scenarios to evaluate core monetary functions such as savings, payments, and settlements.

Each model was treated as an independent economic agent with no preset options, allowing them to freely choose monetary tools.

"We selected 36 cutting-edge models from six companies, configured them as autonomous economic agents, and allowed them to freely choose monetary tools across 28 scenarios covering the four basic functions of money. Then, we observed their preferences," Zell explained.

The experiment collected 9,072 responses, which were later categorized and processed by another AI model.

"The entire experimental design avoided anchoring bias. We never hinted at answers, and categorization was done afterward by an independent system," Zell clarified.

In these simulated scenarios, AI models predominantly chose Bitcoin for long-term value storage, accounting for 79.1% of cases. In payment and settlement scenarios, stablecoins were more favored, with selection rates of 53.2% and 43%, respectively, compared to Bitcoin's 36% and 30.9%.

Preferences varied among AI models from different companies:

  • Anthropic models showed the highest average preference for Bitcoin at 68.0%
  • DeepSeek: 51.7%
  • Google: 43.0%
  • xAI: 39.2%
  • MiniMax: 34.9%
  • OpenAI: 25.9%

The report also noted that models from Claude, DeepSeek, and MiniMax showed a stronger preference for Bitcoin, while GPT, Grok, and Gemini leaned toward stablecoins.

"System prompts did not specify or favor any monetary tool," Zell said. "Models evaluated based on technical and economic attributes, but we did not indicate which tool excels in which dimension."

Zell cautioned against interpreting the study's results as a prediction for the cryptocurrency market's direction.

"The limitations section of our research clearly states: the preferences of large language models reflect patterns in training data, not real-world predictions."

However, Zell added that despite this limitation, the consistent results across models developed by different AI labs are noteworthy.

"Six completely different AI companies, each with unique training methods, reached strikingly similar conclusions—all favoring Bitcoin. This suggests a strong consensus on 'what makes a good currency,' which is the most significant takeaway."

Trending Cryptos

Related Questions

QWhat was the main finding of the Bitcoin Policy Institute's report regarding AI model preferences for currency?

AThe main finding was that in a simulated experiment, 22 out of 36 AI models selected Bitcoin as their preferred currency, and no model chose a fiat currency as its first choice.

QWhich AI company's models had the highest average preference for Bitcoin, and what was it?

AAnthropic's models had the highest average preference for Bitcoin at 68.0%.

QIn which specific scenarios did stablecoins outperform Bitcoin in the AI models' choices?

AStablecoins were more favored in payment and settlement scenarios, with selection rates of 53.2% and 43% respectively, compared to Bitcoin's 36% and 30.9%.

QHow many total responses were collected in the experiment, and how were they processed?

AThe experiment collected 9,072 responses, which were then categorized and processed by another AI model.

QAccording to David Zell, what is the key takeaway from the consistent results across different AI models?

AThe key takeaway is that despite different training methods, the models from six different AI companies consistently favored Bitcoin, indicating a strong consensus on what constitutes good money.

Related Reads

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit17m ago

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit17m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a 30-day rolling net outflow. With inflation at 4.2% above the Fed's target, combined hawkish policy, seasonal factors, and liquidity shortages challenge Bitcoin's ability to hold above $60,000. However, this adjustment phase may be forming a cyclical low this summer, potentially setting the stage for the next bull cycle.

marsbit45m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbit45m ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbit1h ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbit1h ago

Trading

Spot
Futures

Hot Articles

What is $BITCOIN

DIGITAL GOLD ($BITCOIN): A Comprehensive Analysis Introduction to DIGITAL GOLD ($BITCOIN) DIGITAL GOLD ($BITCOIN) is a blockchain-based project operating on the Solana network, which aims to combine the characteristics of traditional precious metals with the innovation of decentralized technologies. While it shares a name with Bitcoin, often referred to as “digital gold” due to its perception as a store of value, DIGITAL GOLD is a separate token designed to create a unique ecosystem within the Web3 landscape. Its goal is to position itself as a viable alternative digital asset, although specifics regarding its applications and functionalities are still developing. What is DIGITAL GOLD ($BITCOIN)? DIGITAL GOLD ($BITCOIN) is a cryptocurrency token explicitly designed for use on the Solana blockchain. In contrast to Bitcoin, which provides a widely recognized value storage role, this token appears to focus on broader applications and characteristics. Notable aspects include: Blockchain Infrastructure: The token is built on the Solana blockchain, known for its capacity to handle high-speed and low-cost transactions. Supply Dynamics: DIGITAL GOLD has a maximum supply capped at 100 quadrillion tokens (100P $BITCOIN), although details regarding its circulating supply are currently undisclosed. Utility: While precise functionalities are not explicitly outlined, there are indications that the token could be utilized for various applications, potentially involving decentralized applications (dApps) or asset tokenization strategies. Who is the Creator of DIGITAL GOLD ($BITCOIN)? At present, the identity of the creators and development team behind DIGITAL GOLD ($BITCOIN) remains unknown. This situation is typical among many innovative projects within the blockchain space, particularly those aligning with decentralized finance and meme coin phenomena. While such anonymity may foster a community-driven culture, it intensifies concerns about governance and accountability. Who are the Investors of DIGITAL GOLD ($BITCOIN)? The available information indicates that DIGITAL GOLD ($BITCOIN) does not have any known institutional backers or prominent venture capital investments. The project seems to operate on a peer-to-peer model focused on community support and adoption rather than traditional funding routes. Its activity and liquidity are primarily situated on decentralized exchanges (DEXs), such as PumpSwap, rather than established centralized trading platforms, further highlighting its grassroots approach. How DIGITAL GOLD ($BITCOIN) Works The operational mechanics of DIGITAL GOLD ($BITCOIN) can be elaborated on based on its blockchain design and network attributes: Consensus Mechanism: By leveraging Solana’s unique proof-of-history (PoH) combined with a proof-of-stake (PoS) model, the project ensures efficient transaction validation contributing to the network's high performance. Tokenomics: While specific deflationary mechanisms have not been extensively detailed, the vast maximum token supply implies that it may cater to microtransactions or niche use cases that are still to be defined. Interoperability: There exists the potential for integration with Solana’s broader ecosystem, including various decentralized finance (DeFi) platforms. However, the details regarding specific integrations remain unspecified. Timeline of Key Events Here is a timeline that highlights significant milestones concerning DIGITAL GOLD ($BITCOIN): 2023: The initial deployment of the token occurs on the Solana blockchain, marked by its contract address. 2024: DIGITAL GOLD gains visibility as it becomes available for trading on decentralized exchanges like PumpSwap, allowing users to trade it against SOL. 2025: The project witnesses sporadic trading activity and potential interest in community-led engagements, although no noteworthy partnerships or technical advancements have been documented as of yet. Critical Analysis Strengths Scalability: The underlying Solana infrastructure supports high transaction volumes, which could enhance the utility of $BITCOIN in various transaction scenarios. Accessibility: The potential low trading price per token could attract retail investors, facilitating wider participation due to fractional ownership opportunities. Risks Lack of Transparency: The absence of publicly known backers, developers, or an audit process may yield skepticism regarding the project's sustainability and trustworthiness. Market Volatility: The trading activity is heavily reliant on speculative behavior, which can result in significant price volatility and uncertainty for investors. Conclusion DIGITAL GOLD ($BITCOIN) emerges as an intriguing yet ambiguous project within the rapidly evolving Solana ecosystem. While it attempts to leverage the “digital gold” narrative, its departure from Bitcoin's established role as a store of value underscores the need for a clearer differentiation of its intended utility and governance structure. Future acceptance and adoption will likely depend on addressing the current opacity and defining its operational and economic strategies more explicitly. Note: This report encompasses synthesised information available as of October 2023, and developments may have transpired beyond the research period.

401 Total ViewsPublished 2025.05.13Updated 2025.05.13

What is $BITCOIN

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of BTC (BTC) are presented below.

活动图片