Alchemy CEO Nikil Viswanathan on How AI Agents Will Drive the Future of Crypto-Native Commerce

Alchemy CEO Nikil Viswanathan argues crypto infrastructure is evolving to serve AI agents rather than human users, signaling a structural shift in global commerce as autonomous systems begin executing transactions on blockchain rails without intermediaries, a trend that could redefine liquidity provision, settlement layers, and regulatory boundaries in digital asset markets by 2027.

The AI-Agent Commerce Thesis

Viswanathan’s assertion challenges the foundational assumption that blockchain networks were designed for human-centric utilize cases like retail trading or remittances. Instead, he posits that the next phase of adoption will be driven by machine-to-machine value transfer—AI agents trading compute, data, or services in real time using permissionless protocols. This mirrors early internet protocols built for machine communication (like SMTP or FTP) before human interfaces emerged. The implication is clear: infrastructure must prioritize low-latency execution, deterministic finality, and programmable compliance over user experience optimizations.

Current data supports this inflection point. Alchemy’s internal metrics present a 300% year-over-year increase in API calls originating from non-human endpoints, with over 60% of new developer projects on its platform involving autonomous agents executing smart contracts without direct human oversight. These agents operate in verticals like decentralized AI training marketplaces, where models bid for GPU cycles using crypto-native payment rails, and algorithmic liquidity provisioning in DeFi protocols, where bots rebalance pools across chains at sub-second intervals.

“We’re seeing AI agents settle cross-border transactions in stablecoins faster and cheaper than any correspondent banking network—this isn’t speculative. it’s operational today in pilot programs with Fortune 500 supply chain managers.”

Liquidity and Settlement Implications

The rise of agent-driven commerce introduces novel strains on existing crypto infrastructure. Unlike human users who tolerate latency for security, AI agents require millisecond-finality settlement to avoid arbitrage losses in high-frequency strategies. This puts pressure on Layer 1 consensus mechanisms and exposes bottlenecks in cross-chain bridging—where current solutions average 2–5 minute finality windows, inadequate for agent arbitrage loops.

To address this, enterprises are turning to specialized B2B providers offering blockchain infrastructure-as-a-service that optimize validator sets for predictable block times and integrate with real-time oracle networks. These platforms enable agents to verify off-chain conditions (like API-triggered events) and execute on-chain actions within a single atomic transaction—a capability critical for use cases like dynamic pricing in autonomous freight networks.

the surge in agent-to-agent transactions amplifies demand for crypto-native compliance tooling that can monitor machine behavior for anomalous patterns without relying on KYC frameworks built for humans. Firms are deploying behavioral analytics engines that flag deviations in transaction timing, gas patterns, or counterparty interaction frequency—tools already adopted by crypto custodians managing institutional DeFi exposure.

Regulatory and Structural Risks

This shift raises unresolved questions about accountability. When an AI agent executes a flawed trade due to a hallucinated data input, who bears liability—the model trainer, the deploying enterprise, or the protocol operator? Current regulatory regimes like MiCA in the EU or the U.S. Treasury’s Framework for International Engagement on Digital Assets assume human actors at the endpoint of transactions, creating a jurisdictional gray zone.

Forward-looking enterprises are preemptively engaging financial regulatory law firms with expertise in emerging tech to draft governance frameworks that assign clear lines of responsibility in agent-driven flows. These include smart contract audit trails with explainable AI logs and mandatory circuit breakers triggered by anomalous volume spikes—practices piloted in Singapore’s Project Orchid sandbox for wholesale CBDC use cases.

The macroeconomic impact remains uncertain. If AI agents capture even 10% of global B2B payment volume by 2030—a conservative estimate given current growth in machine-to-machine IoT transactions—this could redirect hundreds of billions in annual fees from traditional payment networks to blockchain settlement layers. Such a shift would compress EBITDA margins for legacy processors even as boosting demand for tokenized treasury management services offered by specialized corporate treasury solutions providers.

As autonomous systems redefine the rails of global commerce, the winners will be those who build infrastructure not for human convenience but for machine precision—where finality is non-negotiable, composability is enforced by code, and trust is minimized through cryptographic guarantees rather than institutional reputation. For enterprises navigating this transition, the World Today News Directory offers a vetted network of B2B partners specializing in blockchain infrastructure, regulatory technology, and AI-compliant financial systems—essential allies in preparing for a commerce landscape where the primary users no longer have hands to sign contracts or faces to show at KYC counters.