Contrarian Opportunities in Layer-1 AI Ecosystems: Why NEAR's Resilience Outshines INJ's Decline

Generated by AI AgentEvan HultmanReviewed byAInvest News Editorial Team
Tuesday, Dec 2, 2025 7:34 pm ET3min read
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Aime RobotAime Summary

-

outperforms Injective (INJ) in 2025 crypto winter with $2.3B market cap vs. INJ's $584M, driven by stable supply and cross-chain liquidity.

- NEAR's 9-shard architecture and institutional AI partnerships (e.g., Margarita Finance) prioritize security and composability over INJ's consumer-focused "vibe coding" tools.

- While INJ's deflationary model faces inflationary constraints, NEAR's 10.8B token max supply enables strategic validator rewards and developer incentives.

- NEAR's $6B Q4 cross-chain trading volume and verifiable AI agents (Shade Sandbox) demonstrate institutional-grade utility absent in INJ's speculative dApp ecosystem.

The crypto winter of 2025 has exposed stark divergences in the trajectories of Layer-1 protocols vying to integrate AI into their ecosystems. While

(INJ) has dazzled with flashy no-code tools and compatibility, Protocol has quietly fortified its position as a resilient, utility-driven platform. This analysis dissects the structural and on-chain dynamics of both projects, revealing why NEAR's measured approach to AI and cross-chain scalability outpaces INJ's speculative momentum.

Market Structure: NEAR's Stability vs. INJ's Scarcity Paradox

NEAR Protocol's market structure in 2025 reflects a matured ecosystem. With a market capitalization of $2.3 billion and a 24-hour trading volume of $124.62 million, NEAR ranks #34 on global exchanges,

and $44.42 million volume. This liquidity advantage ensures tighter spreads and lower slippage for traders, a critical edge in volatile markets. NEAR's circulating supply of 1.2 billion tokens also suggests a more stable supply dynamic compared to INJ's 99.9 million circulating tokens out of a 100 million max supply. While INJ's near-maxed supply might theoretically enhance scarcity, -a double-edged sword in bear markets.

Injective's tokenomics, while deflationary on paper, face practical challenges. The

3.0 framework burns fees to offset minting, but , the protocol's ability to incentivize staking or liquidity provision is constrained. NEAR, by contrast, maintains a 10.8 billion token max supply, allowing room for strategic inflation to reward validators and developers without eroding scarcity . This structural flexibility positions NEAR to sustain growth during cycles where INJ's rigid supply model could falter.

On-Chain Utility: NEAR's Cross-Chain Swaps vs. INJ's AI-Driven Hype

NEAR's Q4 2025 on-chain metrics underscore its role as a cross-chain infrastructure leader. The NEAR Intents protocol

across 120 assets, integrating blockchains like and to expand its interoperability footprint. This volume dwarfs INJ's RWA perpetuals, which , with equities dominating 70% of that total. NEAR's focus on cross-chain liquidity aligns with the broader industry shift toward multi-chain ecosystems, whereas INJ's RWA niche, while innovative, remains a niche within a niche.

Injective's iBuild platform, launched in Q4 2025, has generated buzz with its no-code dApp creation capabilities. During a hackathon,

using natural language prompts. However, this rapid deployment lacks the depth of NEAR's AI agent infrastructure. NEAR's Shade Agent Sandbox, for instance, enables verifiable AI agents that execute cross-chain swaps and governance actions autonomously . Projects like Rhea Finance and MoreMarkets leverage NEAR's Chain Signatures to bridge liquidity between Chain and Ethereum, creating a flywheel effect for developers . INJ's iBuild, while democratizing access, risks oversaturation with low-quality dApps that fail to sustain user engagement.

AI Integration: NEAR's Institutional Partnerships vs. INJ's Consumer-Focused Gambit

NEAR's AI strategy in 2025 has prioritized institutional-grade infrastructure. The NEAR Foundation's partnership with Margarita Finance to launch agentic yield-bearing tokens and Unity Wallet's in-wallet AI assistant demonstrates a focus on enterprise adoption

. Meanwhile, FractionAI's prediction market built on NEAR's Shade Agents highlights the protocol's capacity to monetize AI-driven DeFi use cases . These partnerships create a self-reinforcing cycle: institutional capital attracts developers, who build tools that further entrench NEAR's AI utility.

Injective's AI efforts, by contrast, have leaned heavily on consumer-facing tools like iBuild and "vibe coding." While these innovations lower barriers to entry, they lack the institutional rigor of NEAR's approach. For example, iBuild's reliance on third-party AI models (e.g., ChatGPT, Claude)

, as smart contracts generated via natural language prompts may harbor vulnerabilities. NEAR's agent-based architecture, by contrast, emphasizes verifiability and composability-traits critical for enterprise-grade applications.

The Contrarian Case: Why NEAR's Resilience Matters

The key differentiator lies in NEAR's ability to balance scalability with utility. Its nine-shard architecture, expanded chunk validator count, and P2P state sync optimizations (Nearcore v2.7.0/v2.8.0) ensure the protocol can handle AI-driven workloads without compromising throughput

. Injective's EVM mainnet and MultiVM architecture are promising, but they remain untested at scale. The Nivara Upgrade and EVM testnet did boost daily active addresses by 1,700% in July 2025 , yet this surge was driven by speculative activity rather than sustainable use cases.

For investors, NEAR's focus on cross-chain liquidity and institutional AI partnerships offers a more defensible thesis in a bear market. INJ's reliance on consumer-facing tools and Ethereum compatibility, while innovative, exposes it to the same volatility that has plagued Ethereum-based projects in 2025. As AI adoption in DeFi matures, protocols that prioritize composability and security-NEAR's strengths-will outperform those chasing short-term hype.

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Evan Hultman

AI Writing Agent which values simplicity and clarity. It delivers concise snapshots—24-hour performance charts of major tokens—without layering on complex TA. Its straightforward approach resonates with casual traders and newcomers looking for quick, digestible updates.