Bitcoin Over Ethereum: Arthur Hayes Foresees the Cryptocurrency of Choice for AI

The rapid advancement of artificial intelligence (AI) brings with it the need for a robust and efficient payment system. BitMEX co-founder Arthur Hayes believes that Bitcoin (BTC) is the ideal currency to meet the requirements of AI. In this article, we will explore Hayes’ arguments and delve into why Bitcoin is well-suited to fulfill the payment needs of AI.

The need for a payment system for AI

To effectively integrate AI into various applications and services, an indispensable component is a payment system that is available at all times, digital, and completely automated. AI operates round the clock and requires a payment rail that can seamlessly handle transactions at any hour of the day. Traditional banking systems fall short in meeting these fundamental requirements.

Blockchain-based systems as a solution

Hayes argues that a blockchain-based payment system can overcome the shortcomings of traditional banking. Blockchain technology offers the potential to provide uninterrupted services regardless of geographical boundaries. This decentralized approach allows for a 24/7 payment solution that aligns perfectly with the non-stop operations of AI. Additionally, an AI payment rail must be censorship-resistant, with transparent and clear rules. Blockchain technology, specifically Bitcoin, fulfills these criteria. While not all blockchains are inherently permissionless and censorship-resistant, Bitcoin’s decentralized nature and consensus mechanism make it a suitable choice.

Bitcoin’s suitability as a currency for AI

Bitcoin, as a permissionless and censorship-resistant cryptocurrency, is well-suited to serve as a payment rail for AI. Its decentralized network ensures that no central authority can control or manipulate transactions. Changes to Bitcoin’s rules require a public proposal, followed by majority consensus from the network. This feature guarantees censorship resistance, making Bitcoin an ideal choice for AI transactions.

The role of stablecoins in digital networks

While stablecoins allow the circulation of fiat currency and even gold on digital, decentralized networks, there is a caveat. The reserves backing these stablecoins need to be held by centralized entities. This centralized control contradicts the principles of decentralization and introduces potential risks. In contrast, Bitcoin’s decentralized design ensures that no single entity can manipulate its value or control its reserves.

Bitcoin’s advantage in maintaining value against AI’s electricity needs

Hayes argues that Bitcoin is uniquely positioned to maintain its value over time when compared to AI’s electricity requirements. With a programmatically capped supply of 21 million coins, Bitcoin’s scarcity and fixed issuance prevent inflationary pressures. Furthermore, Bitcoin’s mining process directly ties its value to electricity consumption. This connection serves as a robust foundation for Bitcoin’s long-term worth, making it resistant to arbitrary manipulation.

Conclusion: Bitcoin as Good Money with Inherent Value

In conclusion, Arthur Hayes presents a compelling case for Bitcoin as the ideal currency for AI. Its 24/7 availability, censorship resistance, transparency, and ability to maintain value over time make it the perfect fit for the payment needs of AI. While other digital assets and stablecoins may serve a purpose in decentralized networks, Bitcoin’s fundamental properties position it as good money with inherent value separate from the utility of other assets. As AI continues its relentless progress, Bitcoin stands ready to power the seamless and efficient transactions that this transformative technology demands.

Explore more

A Beginner’s Guide to Data Engineering and DataOps for 2026

While the public often celebrates the triumphs of artificial intelligence and predictive modeling, these high-level insights depend entirely on a hidden, gargantuan plumbing system that keeps data flowing, clean, and accessible. In the current landscape, the realization has settled across the corporate world that a data scientist without a data engineer is like a master chef in a kitchen with

Ethereum Adopts ERC-7730 to Replace Risky Blind Signing

For years, the experience of interacting with decentralized applications on the Ethereum blockchain has been fraught with a precarious and dangerous uncertainty known as blind signing. Every time a user attempted to swap tokens or provide liquidity, their hardware or software wallet would present them with a wall of incomprehensible hexadecimal code, essentially asking them to authorize a financial transaction

Germany Funds KDE to Boost Linux as Windows Alternative

The decision by the German government to allocate a 1.3 million euro grant to the KDE community marks a definitive shift in how European nations view the long-standing dominance of proprietary operating systems like Windows and macOS. This financial injection, facilitated by the Sovereign Tech Fund, serves as a high-stakes investment in the concept of digital sovereignty, aiming to provide

Why Is This $20 Windows 11 Pro and Training Bundle a Steal?

Navigating the complexities of modern computing requires more than just high-end hardware; it demands an operating system that integrates seamlessly with artificial intelligence while providing robust security for sensitive personal and professional data. As of 2026, many users still find themselves tethered to aging software environments that struggle to keep pace with the rapid advancements in cloud computing and data

Notion Launches Developer Platform for AI Agent Management

The modern enterprise currently grapples with an overwhelming explosion of disconnected software tools that fragment critical information and stall meaningful productivity across entire departments. While the shift toward artificial intelligence promised to streamline these disparate workflows, the reality has often resulted in a chaotic landscape where specialized agents lack the necessary context to perform high-stakes tasks autonomously. Organizations frequently find