Crypto for AI agents: Nikil Viswanathan from Alchemy dey back machine‑to‑machine finance
For Consensus Miami, Alchemy co-founder Nikil Viswanathan talk say “Crypto na build for AI agents,” put crypto for AI agents as better rail for continuous, global, always-on transactions than human-centered banking. E talk say legacy finance get wahala like limited bank hours, payments wey tied to place and ID checks wey need physical presence, while AI agents keep transactions fully online and naturally global.
Viswanathan add say crypto for AI agents match wetin agents need: always-on settlement, native support for global transfers, efficient microtransactions, and programmability through code. E describe blockchain as correct fit for agents’ digital logic (zeros and ones), and talk say future fit be layered where traditional finance plus crypto form the base, AI agents handle wallet operations, transaction routing, and real-time capital allocation, and humans use simpler interfaces to interact.
For traders, the main shift na narrative: from retail human payment rails to machine-to-machine infrastructure. The recent focus on the “agent layer” and execution automation fit push sentiment for more liquid, programmable assets—especially if markets start to price faster AI-driven payments and treasury workflows.
Bullish
Bullish, mostly as narrative and positioning waka. Viswanathan talk dey frame Crypto for AI agents as purpose‑built for always‑on, global, programmable execution—e shift attention from retail payments to automated “agent layer” infrastructure. If traders see this as correct roadmap for wallet automation, transaction routing, and AI‑driven treasury/capital allocation, e fit boost sentiment for liquid, programmability‑focused assets.
Short‑term, the headline fit raise risk appetite for AI‑ and payments‑adjacent narratives, but e no go directly change cashflow fundamentals immediately because the talk no connect to any specific token upgrade or rollout. Long‑term, if market begin price more automation of settlement and microtransactions, demand for programmable rails fit strengthen and support sustained interest—though the impact likely depend on real integrations and measurable usage growth rather than just the framing.