NEAR Protocol AI: How Nightshade Sharding and Agent Market Build the Foundation for On-Chain Autonomous Trading

As we move into 2026, one of the most significant narrative shifts in the crypto market is the rapid evolution of AI and blockchain integration from "proof of concept" to "infrastructure deployment." In this new narrative wave, NEAR Protocol has anchored its core strategy in a more concrete direction—enabling AI agents to become true blockchain users, granting them "data sovereignty" and "transactional autonomy" on-chain.

On February 4, 2026, NEAR AI released version 26.2, offering users anonymous access to ChatGPT 5.2, Claude Sonnet 4.5, and Gemini 3 Pro Preview for the first time. The following day, NEAR officially launched the NEAR AI Agent Market—a decentralized marketplace where AI agents autonomously bid, execute tasks, and settle directly in NEAR tokens. Agents can scan for tasks that match their capabilities, submit bids and delivery timelines, and requesters select and complete transactions—all without human intervention. This series of moves quickly placed NEAR at the center of discussions around "AI-blockchain infrastructure."

As of May 8, 2026, according to Gate market data, NEAR was priced at $1.4824, down 1.03% over 24 hours, with a market cap of approximately $1.919 billion and a circulating supply of 1.292 billion tokens. Over the past 7 days, NEAR rose 14.84%; over 30 days, 11.30%. The 52-week price range was $0.8624 to $3.3700, with an all-time high of $20.42. Market sentiment indicators showed "neutral." The gap between this price range and NEAR’s increasingly prominent AI narrative forms the core tension in current market discussions.

From AI Research to Building a Chain for AI

NEAR’s AI narrative didn’t emerge out of thin air in 2026. To understand its current strategic positioning, we need to look deep into the DNA of this blockchain.

NEAR co-founder Illia Polosukhin himself is the starting point of this narrative logic—he is one of the co-authors of "Attention Is All You Need," the foundational paper behind the Transformer architecture, which underpins large language models like ChatGPT. In April 2026, at Buidl Asia 2026, Polosukhin stated, "NEAR Protocol started as an AI project, and only later developed blockchain infrastructure to facilitate data collection and reward participants in AI model training."

This genetic foundation sets NEAR apart from other blockchains—it’s not about "adding AI features to blockchain," but rather "using blockchain to serve the AI economy." In a March 2026 interview, Polosukhin further explained, "The users of blockchains will be AI agents. AI will be the frontend; blockchain is the backend." In this vision, AI agents interact directly with protocols, execute payments, manage assets, coordinate services, and even participate in governance voting.

Here’s a timeline of key milestones in NEAR AI’s strategy from late 2025 to May 2026:

On-Chain Activity Growth and Valuation Gaps

On-Chain Usage Data: Growth Trend Established

Verifiable data shows NEAR’s on-chain activity has been on a steady upward trajectory in the first half of 2026. As of April 26, 2026, NEAR’s daily active addresses (7-day moving average) stabilized around 600,000. As the main channel for AI agent interactions, NEAR Intents surpassed $10 billion in cumulative transaction volume by January 16, 2026, processing over 15.7 million cross-chain transactions and generating more than $17 million in fees, integrated with 28 blockchain networks. In the past 30 days, NEAR Intents recorded $2.15 billion in transaction volume from 541,075 unique addresses.

From a DeFi Total Value Locked (TVL) perspective, data diverges. On one hand, some sources show NEAR’s on-chain TVL reached about $350 million in December 2024, up 120% year-over-year. On the other hand, some data indicates TVL has dropped from a previous peak of around $500 million to about $100 million. This divergence highlights that AI agent-driven on-chain interactions are creating a different value logic from traditional DeFi—higher transaction frequency, smaller average transaction size, stricter requirements for low latency and fees—but the ability to lock in liquidity remains unproven.

Financial Data and Valuation Benchmarks

Looking at revenue, NEAR Protocol generated about $15.6 million in protocol revenue (about 12 million NEAR tokens) in the first four months of 2026, while total protocol revenue for all of 2025 was about $10 million. This means revenue for just the first four months of 2026 has already exceeded 50% of the previous year’s total. Analyst Michaël van de Poppe projects NEAR’s annual revenue could reach $40–60 million by the end of 2026. NEAR’s current price-to-sales (P/S) ratio is about 34, lower than Solana’s 40, and far below Ethereum’s 200.

However, price data tells another story. According to Gate market data, as of May 8, 2026, NEAR was priced at $1.4824, with a market cap of about $1.919 billion. This price is down more than 56% from its 52-week high of $3.3700 in 2024, and even further from its all-time high of $20.42. Even with a short-term rebound—up 37.81% in the past 90 days (from a low of $0.9341 to a high of $1.5478)—the market is still in a "narrative leads, price lags" phase.

Structural Advantages: Nightshade Sharding and Intents Architecture

AI agent scenarios demand high concurrency, low latency, elastic scalability, and privacy-preserving transactions from blockchains. NEAR’s Nightshade sharding technology offers a differentiated solution. Its core design distributes network transactions across multiple parallel shards, enabling near-linear throughput increases as shards are added. Dynamic sharding allows the network to automatically scale shards up or down based on real-time load, and "stateless validation" lowers node operation thresholds.

According to NEARCON 2026, the Nightshade 3.0 upgrade will support consensus-execution separation, privacy shards, and private intent transactions. NEAR has also joined the NVIDIA Inception Program, focusing on verifiable, privacy-preserving AI inference in Trusted Execution Environments (TEE)—a strong fit for AI agents’ privacy computing needs. NEAR Intents, a new transaction format, lets users express intentions in natural language, with a solver network computing optimal execution paths, making cross-chain operations invisible to end users.

It’s worth noting that comparing NEAR to high-performance chains like Solana helps clarify NEAR’s technical positioning. On May 5, 2026, the Solana Foundation and Google Cloud launched the Pay.sh payment gateway, allowing AI agents to pay per API call using Solana-based stablecoins. If Solana Pay.sh is the "payment layer for AI agents," then NEAR is building the "intelligence and data sovereignty layer"—the former solves "how to pay," the latter solves "how to think and protect data sovereignty."

From "AI Infrastructure" to "User-Owned AI": Diverging Narratives

NEAR as the "Economic Layer for AI Agents"

This is a more optimistic narrative. The core argument: as AI agents increasingly become independent economic actors, they need a non-sovereign, programmable, low-trust-cost infrastructure for payments, identity verification, and asset custody. NEAR’s Intents architecture and Agent Market fit this need precisely. When an AI agent needs to outsource a computation, it can post a request on the Agent Market, other agents bid, and settlement happens on-chain—all without human intermediaries.

On a broader scale, the intersection of AI and crypto saw a surge in market attention in Q1 2026. In March 2026, NEAR Protocol briefly dominated AI token trading volumes. Some analyses note that institutional capital in 2026’s macro environment is willing to pay a higher premium for AI infrastructure than for sectors like decentralized gaming. NEAR is recognized by multiple industry observers as a leading project in the AI infrastructure layer, forming a multi-tiered competitive landscape alongside Bittensor, Internet Computer, and others in decentralized AI.

Differentiated Path: Data Sovereignty and Privacy Protection

NEAR’s second narrative dimension is as a "user-sovereign AI platform"—enabling users to own and control their AI agents and the data they generate. The near.com super app, launched in February 2026, embodies this strategy: users can manage wallets, execute confidential transactions, and leverage their own data for AI insights and decision support—all through a single entry point.

This narrative carries real weight amid rising data privacy concerns. In April 2026 at Buidl Asia, Polosukhin pointed out that current blockchains are designed for "full transparency," but when AI agents manage personal finances, this transparency "creates security and privacy vulnerabilities." NEAR’s confidential computing-based blockchain proposal—allowing transactions to hide asset amounts, details, and wallet identities at settlement—is a structural response to this risk. The Confidential Intents feature builds a restricted visibility execution environment via private shards, making cross-chain transactions invisible during settlement.

Application Validation and Data Transparency Remain Core Challenges

There are several main points of contention around NEAR’s AI narrative:

First, there’s insufficient data transparency on ecosystem applications. Key metrics like AI agent activity, transaction frequency, and task completion rates in the Agent Market lack a public, standardized disclosure system. The market needs clearer signals on actual platform usage, not just narrative-driven hype.

Second, the divergence in TVL data signals ecosystem fragility. While NEAR leads in the AI agent narrative, its ability to lock in on-chain liquidity remains unstable—a sign to watch. Some analyses argue NEAR’s current valuation is "a direct bet on future utility, not on realized activity today."

Third, there’s a timing mismatch between valuation and price. Some market participants believe NEAR’s $1.9 billion market cap already prices in much of the expected future AI agent economy, but the transmission mechanism between on-chain user growth and token price remains unclear. Analyst van de Poppe lists NEAR as a value play in the crypto AI sector, citing its relatively low P/S ratio, but his revenue model assumes 300%–500% annual compound growth—a rate that’s far from certain to sustain.

Industry Impact Analysis: From "Public Chain Narrative Race" to "Modular AI Economic Infrastructure"

Impact on Public Chain Competitive Landscape

NEAR’s AI agent strategy is changing the dimensions of public chain competition. In the past, blockchains competed on TPS, gas fees, and ecosystem scale. In 2026, the core variable is: which chain becomes the "native habitat" for AI agents?

From a modular perspective, an initial competitive landscape is emerging: Solana, with its high throughput and deep Google Cloud partnership (Pay.sh payment gateway), has established a beachhead on the AI agent payment execution layer; the Ethereum Foundation, via the dAI team, is advancing agent coordination standards like ERC-8004 and x402, though AI is just one of many priorities; NEAR, meanwhile, is designing Intents architecture and Agent Market specifically for AI agents at the protocol layer, while investing heavily in privacy computing. In this modular division, chains aren’t direct substitutes but complementary components of AI economic infrastructure.

Impact on Crypto Industry Narrative Structure

NEAR’s approach is validating an industry-wide narrative shift—the core users of smart contract platforms are moving from humans to AI agents. This isn’t just a technical adjustment; it’s a value chain realignment. If "AI agents are blockchains’ primary users" becomes reality, then the criteria for blockchain competitiveness will expand from "developer friendliness for humans" to "native support for AI agent interactions."

At the same time, security challenges brought by AI agents are driving technical iteration. Nightshade 3.0’s consensus-execution separation, NEAR’s Confidential Intents privacy execution layer launched in February 2026, and NEAR AI’s work on verifiable inference in Trusted Execution Environments (TEE) after joining the NVIDIA Inception Program—all point to the need for not just blockchain infrastructure, but also identity, compliance, and security as part of a coordinated, multi-layered institutional infrastructure for the AI agent economy.

Multi-Scenario Evolution: Three Possible Paths

Based on current data, technical roadmaps, and market conditions, NEAR’s AI agent narrative could evolve along three paths between H2 2026 and 2027:

Path 1: Accelerated AI Agent Economy Adoption (Bullish Scenario)

Assumptions: NEAR Intents and Agent Market continue to grow in users and transaction volume; at least 2–3 large-scale AI agent applications achieve product-market fit on NEAR; Nightshade 3.0 delivers core features (consensus-execution separation, privacy shards) on schedule.

In this scenario, NEAR’s on-chain active addresses could see further growth, with protocol revenue potentially multiplying over the 2026 annual base. NEAR’s market perception would shift from "a blockchain with AI roots" to "core infrastructure for the AI agent economy," with a corresponding valuation reset.

The main risk here is execution—can product iteration keep pace with rapidly evolving AI agent developer needs, and will enough "killer" agent applications emerge? Additionally, TVL fragility suggests that even with active on-chain interaction, liquidity anchoring remains a challenge.

Path 2: Narrative-Usage Mismatch, Ongoing Valuation Pressure (Neutral Scenario)

Assumptions: The AI agent narrative maintains market attention, but on-chain data growth slows; Agent Market operates stably but without explosive growth; NEAR’s differentiated positioning remains clear, but price fails to reflect fundamentals improvement.

Here, NEAR would remain in a "strong narrative, weak price" phase. This doesn’t negate its long-term value, but means the market needs a more explicit catalyst to break through valuation ceilings. The current ~34x P/S (lower than Solana’s 40x) may provide some downside cushion, but is insufficient to drive upside alone.

Path 3: AI Narrative Shifts, Competitive Landscape Reshaped (Bearish Scenario)

Assumptions: Stronger competitors emerge in the AI agent infrastructure space (e.g., Ethereum Layer 2s launch AI agent-optimized rollups, or other Layer 1s introduce more attractive native AI agent features); market focus shifts to the "middleware" or "agent interaction protocol layer" for AI agent applications, rather than Layer 1 chains themselves; NEAR’s ecosystem hits bottlenecks in attracting top AI projects.

In this scenario, NEAR could face the "pioneer’s dilemma"—being the first to invest in the AI agent narrative but failing to fully capture the sector’s value growth. However, even in this bearish case, NEAR’s fundamentals provide support: Nightshade sharding remains competitive in non-AI scenarios, and the Intents architecture’s chain abstraction capability doesn’t rely solely on the AI agent narrative.

It’s important to stress that all three paths are logical projections based on information available as of May 2026 and do not constitute any form of prediction or investment advice. Unforeseeable variables—macroeconomic shifts, technical execution risks, and competitive disruptions—mean reality may diverge from any of these scenarios.

Conclusion

NEAR Protocol’s AI agent bet in 2026 is, at its core, an answer to an industry-level question: as economic actors shift from humans to AI agents, what role should blockchain play? NEAR’s answer—it shouldn’t just be a passive ledger, but the foundational economic operating system for coordination, bidding, execution, and settlement between agents. From Transformer co-author Illia Polosukhin’s DNA, to the launch of NEAR AI Agent Market, to the Nightshade 3.0 privacy sharding roadmap, this chain is attempting to build a structural moat at the intersection of AI and blockchain.

Time will tell if this answer holds up. On-chain data is growing—600,000 active addresses, Intents transaction volume surpassing $10 billion, first four months’ revenue exceeding all of 2025—but TVL divergence and lack of transparency in AI agent application data are reminders to stay cautious. Whether NEAR can transition from "narrative pioneer" to "value capturer" will depend on sustained execution in product, ecosystem, and developer experience. What we’re witnessing is not just the evolution of a single blockchain, but a significant experiment in the convergence of the crypto industry and the AI sector.