Nikil Viswanathan, the co-founder and CEO of the blockchain infrastructure firm Alchemy, argues that the global financial system is fundamentally mismatched with the digital future. During recent discussions regarding the trajectory of decentralized technology, Viswanathan shared a provocative thesis: cryptocurrency was likely never best suited for human users, but rather functions as the native operating layer for autonomous AI agents.
The executive’s comments highlight a growing tension between traditional banking and the rapid rise of machine-driven commerce. While human users often struggle with the technical hurdles of decentralized finance (DeFi), Viswanathan suggests that these perceived barriers—such as complex private keys and immutable code—are actually optimized features for artificial intelligence. By removing human-centric constraints like physical presence and traditional business hours, crypto provides an environment where AI can reportedly transact at scale without friction.
The Structural Divide Between Banking and Automation
Traditional finance operates on a legacy system built for a world where people sleep, live within borders, and carry physical documentation. Banks follow specific operating hours and geographic regulations because their primary customers are humans. According to Viswanathan, this human-centric design serves as a bottleneck for modern AI agents that operate continuously and globally.
Unlike a human retail investor, an AI agent does not require a simplified mobile interface or a friendly customer support representative. These entities function natively in code, reading data in formats that align with the architecture of blockchain protocols. This shift suggests that many digital assets are being viewed differently by institutions, and some analysts suggest Ether enters a notable accumulation phase as the underlying network is recognized as a primary utility layer for this new class of digital participants.
Flipping the Complexity Narrative
For years, the crypto industry has prioritized “onboarding” by trying to make wallets feel more like traditional bank accounts. Viswanathan argues this approach may miss the broader point. The complexity that often frustrates human users—managing seed phrases and interacting with smart contracts—is essentially the natural language of AI. In this view, a machine doesn’t find a multi-word recovery phrase difficult; it finds it efficient and mathematically secure.
The Alchemy CEO compares this evolution to the transition from physical mail to the internet. While a person could write a letter, the internet’s true power was realized when computers began communicating with each other directly via standardized protocols. Crypto is currently undergoing a similar transition, moving from a tool used by humans to a foundational layer operated by software. As market participants observe how utility shifts dictate the current market cycle, the focus is squarely moving toward these programmable use cases.
A Multi-Layered Financial Future
The vision proposed by many infrastructure providers involves a multi-tiered hierarchy for global finance. At the base sits the infrastructure: traditional banking rails and blockchain networks. On top of this sits a potential “agent layer,” and eventually, software programs could manage capital, execute trades, and optimize yield in real-time. The final layer would remain the human interface, where individuals interact with simplified applications that conceal the underlying technical mechanics.
This structure would allow AI to handle tasks that are currently too cumbersome for humans, such as managing micro-transactions across hundreds of different protocols. Viswanathan has noted that one can write code to manage a crypto wallet quite easily, whereas traditional bank accounts often lack the open access required for similar high-speed automation. This friction in the legacy world is why many projects are now focusing on whether digital assets can provide lasting utility as they choose which networks to build upon.
Security and Systemic Risk in an AI Economy
The integration of AI into the crypto ecosystem isn’t without its potential dangers. Industry observers have suggested that while agents can optimize finance, they could also be used to scan for vulnerabilities at speeds humans cannot match. This creates a potential arms race between automated attackers and decentralized defense mechanisms. If the financial system becomes a playground for machines, the speed of potential systemic failures could accelerate, making robust infrastructure more critical than ever before.
The Road to Native Digital Commerce
As AI agents become more prevalent—handling everything from cloud computing payments to automated supply chain logistics—the need for a borderless, 24/7 currency becomes much more apparent. The prevailing sentiment at firms like Alchemy is that crypto isn’t necessarily a competitor to traditional fiat so much as it is a specialized tool for a machine-driven economy.
In the coming period, developers are expected to focus heavily on “agentic” tools. This includes building wallets specifically for software programs rather than people and creating smart contracts that can be triggered by AI analysis. The goal is to move beyond the current era of manual trading and into an era of autonomous financial management, where the “user” is no longer a person behind a screen, but a line of code executing a strategic mandate.