Alchemy's Nikil Viswanathan: Crypto Was Built for AI Agents, Not Humans

Alchemy CEO Nikil Viswanathan argues crypto's always-on, programmable, identity-light design fits AI agents far better than legacy finance, with humans guiding the strategy and agents running the engine.

A robotic hand holding a tokenized coin against a layered network diagram.
Alchemy is positioning itself for a financial stack where agents do the executing.

Nikil Viswanathan, CEO and co-founder of Alchemy, argues that crypto's design quietly anticipated AI agents long before the agent era arrived. "You can argue that crypto was built for AI agents, not humans," he told CoinDesk.

The mismatch with TradFi

His core point is structural. Traditional finance assumes friction — currency conversion, intermediaries, settlement delays, identity checks — that humans tolerate but AI agents cannot. Agents need to transact globally, around the clock, in tiny increments, with direct programmatic control and without depending on physical infrastructure. Crypto, he argues, already provides exactly that as an always-on, code-native financial layer.

A layered future

Viswanathan sketched a stack with conventional finance and crypto at the base, an agent layer running on top, and human-facing interfaces above that. In his model, agents operate the financial engines while humans set strategy — a division of labor that lines up neatly with Alchemy's own pivot toward AI-payment infrastructure earlier this month.

Crypto is built for AI agents, not humans, says Alchemy's CEO
CoinDesk interview with Nikil Viswanathan on agent-native finance and what it means for crypto rails.

The Bottom Line

It's a self-serving argument from an infrastructure CEO — and also a pretty hard one to refute on the merits. Every property humans complain about in crypto (24/7 settlement, raw key control, machine-readable assets, micropayments) is precisely what an agent needs. The companies that win the next cycle will be the ones that hide that surface from humans while exposing it cleanly to agents.

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How we report: This article cites primary sources, regulatory filings, and on-chain data where available. BlockAI News uses AI tools to assist with research and first-draft generation; every article is reviewed and edited by a human editor before publication. Read our full How We Report page, Editorial Policy, AI Use Policy, and Corrections Policy.

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