NEAR Protocol Becomes Settlement Engine for AI Commerce

Bitwise report highlights exponential growth in NEAR Intents as AI agents seek scalable infrastructure.

GeoDetect PipelineOctober 7, 2026
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Overview

NEAR Protocol has formally positioned itself as the settlement infrastructure for the emerging economy of artificial intelligence agents, according to a new analysis released by Bitwise. The report argues that the blockchain network has solved two critical friction points simultaneously: the fragmentation of cross-chain crypto transactions and the centralization inherent in current AI models.

By creating a fast, low-cost environment capable of handling machine-to-machine micro-transactions, NEAR is attempting to become the default layer where autonomous AI agents settle their commercial activities. This strategic pivot comes as the broader cryptocurrency market rebounds, with recent data showing explosive growth in transaction volumes directly tied to AI-related intent-based trading.

The firm highlights that NEAR’s architecture is designed to create a self-reinforcing economic loop. As more AI agents enter the digital ecosystem, the demand for efficient settlement layers increases, which in turn drives more activity and revenue back to the NEAR protocol. This dynamic suggests that NEAR is no longer just a blockchain for human users, but an essential utility for the next generation of automated digital labor.

The AI-Crypto Intersection

Bitwise identifies two distinct but interconnected problems that are currently stalling the mass adoption of both artificial intelligence and blockchain technology. On the cryptocurrency side, the industry suffers from severe usability issues. The landscape is fractured across hundreds of blockchains, each operating with its own set of assets, standards, and rules.

Moving capital between these disparate networks remains costly, time-consuming, and risky for the average user. This fragmentation creates a high barrier to entry, preventing seamless interaction between different digital economies. NEAR addresses this by providing a unified experience that abstracts away the complexity of cross-chain interoperability.

Each layer is built to feed the one beneath it. More AI agents mean more Intents transactions, and more Intents transactions mean more settlement on NEAR Protocol.

Simultaneously, the AI sector faces a significant centralization crisis. A handful of large technology corporations control the most powerful language models and the vast datasets required to train them. This concentration of power limits competition and raises concerns about data privacy and algorithmic bias.

NEAR’s approach offers a decentralized alternative where AI agents can operate autonomously without relying on a single corporate gateway. By allowing agents to transact directly on-chain, the protocol enables a more open and competitive marketplace for AI services. This dual focus on solving crypto’s usability gap and AI’s centralization issue positions NEAR at the forefront of the convergence between these two transformative technologies.

Growth Metrics and Market Resilience

Recent performance data underscores the rapid adoption of NEAR’s AI-focused infrastructure. According to Bitwise, the network has facilitated over $30 billion in cumulative volume through its Intents product, a feature that allows users to execute complex cross-chain trades through a single, simplified transaction.

The momentum has accelerated sharply over the last month. Current 30-day volume exceeds $4 billion, representing an impressive year-over-year increase of 896 percent. This surge indicates that demand for high-speed, low-cost settlement solutions is not merely speculative but reflects genuine, growing usage by both human traders and automated agents.

Revenue metrics tell a similarly compelling story. The network generated more than $2 million in revenue over the past 30 days, marking a 512 percent jump compared to the previous year. These figures demonstrate that the protocol is successfully capturing value from the increased transaction activity, rather than simply seeing volume without economic benefit.

Notably, this growth trajectory did not begin with the current market rally. Bitwise pointed out that NEAR Intents demonstrated significant resilience and steady expansion even during the late stages of the recent crypto winter. When the broader market eventually rebounded, the demand for NEAR’s infrastructure spiked, suggesting that the underlying use cases are robust and not solely driven by market sentiment.

The Economic Flywheel and Future Outlook

The long-term thesis for NEAR rests on the concept of an economic flywheel, where each component of the ecosystem reinforces the others. The protocol is designed so that the growth of one layer directly fuels the utility of the layer beneath it. Specifically, the increase in autonomous AI agents drives higher demand for Intents, which subsequently boosts settlement activity on the NEAR blockchain.

This model relies on the expectation that AI agents will become the dominant users of digital infrastructure. As these agents handle increasingly complex tasks, they will require a reliable, cheap, and fast method for settling payments and executing contracts. NEAR aims to be that critical backbone, facilitating everything from data purchases to computational resource sharing.

If AI agents become the dominant users of digital infrastructure—as many technologists expect—and NEAR becomes the settlement layer where they transact, the value unlock would be enormous.

The potential value capture is substantial. If the projection that AI agents become primary economic actors holds true, the volume of micro-transactions flowing through NEAR could reach unprecedented levels. This shift would transform the network from a standard layer-1 blockchain into a foundational economic layer for the AI industry.

Bitwise’s analysis suggests that this transition is already underway. The data indicates that the infrastructure is ready, and the adoption curve is steepening. As more developers build AI applications on top of NEAR, the network effects are likely to compound, making it increasingly difficult for competitors to replicate the same level of integration between AI usability and blockchain settlement.

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