The artificial intelligence boom is reshaping every layer of the technology stack, from GPU compute to data storage and model inference. But one critical question remains largely unanswered: what will serve as the economic and transactional backbone for a world run by autonomous AI agents? According to a fresh prediction from Grayscale, one of the world’s most influential digital asset managers, the answer may lie with NEAR Protocol. The firm is staking a bold claim — that NEAR is quietly evolving into the core infrastructure for the burgeoning AI economy. With its revolutionary “Intents” system having already processed over 25 million transactions worth nearly $20 billion, a suite of new security tools purpose-built for AI agents, and a tokenomics overhaul that is turning heads, NEAR is no longer just another Layer 1 blockchain; it is rapidly becoming the hidden settlement layer for machine-to-machine value exchange.
Grayscale’s Conviction: NEAR as the AI Infrastructure Play
Grayscale’s stamp of approval carries weight. The institution is known for deep, thematic research and long-term conviction rather than short-term speculation. When it predicts that a project could become the foundational infrastructure for the AI economy, it’s not just a casual remark — it’s a strategic signal. The core of their thesis rests on NEAR’s unique technological architecture, which aligns almost perfectly with the demands of autonomous AI agents. These agents need a trustless environment where they can discover each other, negotiate services, and settle payments instantly without human intervention. NEAR’s chain abstraction and account model, which allows for seamless cross-chain interactions and user-friendly (or in this case, agent-friendly) onboarding, position it as the natural coordination layer for a decentralized AI workforce.
But Grayscale’s prediction is not purely speculative; it is grounded in real on-chain traction. The numbers from NEAR Intents tell a story that is difficult to ignore.
The Proof Is in the Volume: 25 Million Transactions and $20 Billion in Intents
At the heart of NEAR’s recent explosion in utility is the Intents framework. Unlike traditional blockchain transactions where a user specifies the exact path of execution, Intents allow users (or AI agents) to declare what they want to achieve — for example, “swap Token A for Token B at the best price across all liquidity venues.” A network of specialized solvers then competes to fulfill that intent in the most efficient way possible. This abstraction is not just a convenience; it fundamentally changes how decentralized applications can interact with global liquidity.
The data is staggering. NEAR Intents has already handled over 25 million transactions, representing a cumulative volume approaching $20 billion. These are not wash trades or inflated bot activity; they represent genuine cross-chain order flow, often from institutional and agent-driven sources. The Intents layer effectively turns NEAR into a universal liquidity router, aggregating demand from Ethereum, Arbitrum, BNB Chain, and others, and settling it through a single, low-latency protocol. For an AI agent tasked with rebalancing a portfolio or paying for GPU compute time, this kind of liquidity abstraction is non-negotiable. The Intents system is proving that NEAR can function as the universal settlement and execution layer for a multi-chain world — and in an AI-driven economy, where agents will be transacting across dozens of chains simultaneously, that capability is not just useful; it is mandatory.
Building a Trustworthy Environment: Security Tools for Autonomous AI Agents
If AI agents are to handle billions of dollars in value autonomously, security becomes an existential question. A malicious actor could trick an agent into signing a harmful transaction, or an agent’s own logic could be exploited to drain its wallet. Recognizing this, the NEAR ecosystem is pioneering a new class of security tooling designed explicitly for artificial intelligence.
These tools go far beyond simple hardware wallets or multi-signature schemes, which are designed for human approval flows. The new security primitives on NEAR allow AI agents to operate within programmable guardrails. For instance, an agent can be constrained to only interact with a pre-approved list of smart contracts, to stay within a defined spending limit per unit of time, or to verify the integrity of an API response using on-chain oracles before executing a trade. NEAR’s account model, which supports multiple key permissions and function-call access controls, provides the flexibility to build “constrained delegation” systems, where a human delegates a task to an agent without handing over the master key to a fortune. This programmable security layer is what transforms a basic chatbot script into a trustworthy, autonomous economic actor. Without it, the idea of letting AI handle real value at scale remains a dangerous pipe dream. With it, NEAR is laying down the law for the agentic economy.
The Tokenomics Catalyst: Rewriting the Incentive Structure
A robust technological foundation is necessary, but so is a sustainable economic model. NEAR’s recent tokenomics upgrade is another pillar in the bullish narrative. While the details of the upgrade address inflation dynamics, staking yield, and network reward distribution, its macro effect is to align the long-term interests of users, developers, and validators more tightly. By fine-tuning the supply mechanics and creating deflationary pressure through transaction fee burning and more efficient validator rewards, the protocol is reducing the circulating supply overhang that has historically pressured many Layer 1 tokens.
More importantly, the new tokenomics are designed to directly incentivize the behaviors that power the AI economy. Solvers, the entities that fulfill Intents, are rewarded for their capital efficiency. Developers building AI-agent tooling can apply for retroactive funding and grants. This shifts NEAR from a pure speculative asset to a yield-bearing, productivity-linked token, whose value accrues as the throughput of the Intents layer grows. As transaction volume climbs into the tens of billions and the number of autonomous agents multiplies, the value capture mechanism becomes a powerful flywheel.
Price Performance and the Road Ahead
Unsurprisingly, this convergence of technological dominance and macro narrative has made NEAR one of the best-performing tokens in recent market cycles. While the broader altcoin market has been choppy, NEAR has shown relative strength. Traders and long-term investors alike are beginning to price in the “AI infrastructure” premium. The token is no longer being valued purely on the basis of a general-purpose smart contract platform; it is being repriced as a critical piece of the AI supply chain, sitting at the intersection of DeFi, chain abstraction, and autonomous agents.
The roadmap ahead is even more ambitious. With the Intents layer continuing to expand into more complex off-chain and on-chain computations, and with AI agents becoming more sophisticated, the vision of NEAR as the “invisible rails” of the machine economy is starting to materialize. Grayscale’s prediction may be bold, but it is not made in a vacuum. It rests on a foundation of hard data — 25 million transactions, $20 billion in volume, and a growing suite of purpose-built tooling that no other blockchain is currently providing at the same scale.
In a future where AI agents will outnumber human users on the blockchain by orders of magnitude, the network that offers them the easiest path to liquidity, the most flexible account model, and the strongest programmable security will win. Right now, that network looks a lot like NEAR. The invisible economy of autonomous agents is being built, and NEAR Protocol is quietly pouring its concrete foundation.
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