AI Agents - Top Chains, Projects and Use Cases Reshaping Crypto

AI agents in crypto are re-wiring the whole landscape. As of today, AI agents market cap has surpassed $50 billion, driven by seamless integration of AI, DeFi, and SocialFi. This will only get better.

TL;DR

• AI agents are revolutionizing crypto, with a market cap exceeding $50 billion, driven by integration of AI, DeFi, and SocialFi technologies.
• Key ecosystems like Solana, Base Layer2, Sui Network, Bittensor and Oraichain are leading AI agent development, offering unique features and projects.
• Consumer trends show a shift towards autonomous transactions, micropayments, invisible infrastructure, and AI-driven social media influence and financial analysis.

By the end of 2025, AI agents are expected to execute majority of on-chain transactions. Imagine automations like rebalancing liquidity pools, distribution of rewards, and performing micropayments based on real-time data feeds and even making investments on our behalf. Endless possibilities.

Let's briefly checkout the Key Ecosystems and Chains bringing AI Agents to the masses, and Consumer Trends driving the growth.

Solana

Solana's high-speed and low-cost infrastructure make it an ideal platform for AI agent deployment, with its ability to handle high-frequency, and low-latency transactions.

Notable Projects

agents(dot)land - Developed by Oraichain Labs, this platform offers no-code AI agent creation with features including wallet creation and trading.

GRIFFAIN - Platform that allows users to create and manage AI Agents, offering advanced tools for task delegation and blockchain integration. Griffain combines AI with DeFi to deliver a versatile user experience and enables users to design personalized AI agents and interact with a network of specialized agents tailored to specific tasks.

ai16z - ai16z is an AI-driven high-frequency trading (HFT) and predictive analytics platform built on Solana. It leverages machine learning models for real-time market insights and execution strategies.

Base Layer2

Coinbase's Layer 2 solution, is emerging as a significant player in the AI agent ecosystem, with ambitious goals to onboard 25 million users and 25,000 developers by 2025, and plans to scale its blockspace capacity. This scalability will be crucial for supporting complex AI operations while maintaining Ethereum's security.

Notable Projects

Virtual Protocol enables users to create, deploy, and monetize AI agents without requiring technical expertise. The protocol tokenizes AI agents, allowing for co-ownership and revenue-sharing models

AgentKit is Coinbase Developer Platform's framework for easily enabling AI agents to take actions onchain. It is designed to be framework-agnostic, so you can use it with any AI framework, and wallet-agnostic, so you can use it with any walle

Sui Network

The Sui Network is making significant effort in AI agent development, with its unique architecture particularly suitable for deploying AI agents.

Notable Projects

Atoma Network is a next generation decentralized network focused on verifiable inference. It allows Web3 smart contracts on major blockchains to integrate seamlessly with an intelligence layer.

Sui Agent Kit: A specialized toolkit for developing AI agents on the Sui blockchain. Similar to Coinbase's AgentKit.

Oraichain

Oraichain is a decentralized AI-powered blockchain that aims to bring artificial intelligence (AI) to smart contracts, DeFi, and Web3 applications. It provides a trustless and verifiable AI Layer 1 blockchain that enables AI inference, automation, and decentralized AI models.

Bittensor

Bittensor is a decentralized AI protocol that enables AI models to run on a blockchain network. Instead of relying on centralized AI services (e.g., OpenAI), Bittensor creates an open-source AI ecosystem where developers can train, share, and monetize machine learning models.

Consumer Trends

Autonomous Transactions: By the end of 2025, 90% of on-chain transactions are expected to be executed by AI Agents. AI Agents will execute limit orders, arbitrage trades, and market-making operations and will also autonomously move liquidity across different lending protocols (e.g., Aave, Compound, Lido) to maximize APY.

Micropayments: AI-driven transactions are becoming smaller, more frequent, and cost-efficient, leading to autonomous micropayments. AI will optimize gas fees for Ethereum, Solana, and L2 solutions, ensuring cost-efficient transactions and transactions will get divided into real-time micro-streams.

Invisible Infrastructure: AI-powered systems will continue making crypto interactions seamless, reducing the need for manual decision-making.

Social Media Influence: AI Agents like AIXBT are reshaping Crypto Twitter (CT) and Web3 discussions, making AI-generated insights dominant.

Financial Analysis: AI-driven analytical tools are providing sophisticated market intelligence, giving traders an edge over traditional analysis methods. Retail traders can have access to institutional-grade AI analysis tools and AI-generated financial reports will replace human analysts for crypto research. AI Agents can also detect manipulation patterns, improving market security.

AI is creating entirely new paradigms for interaction, automation, and value creation in crypto. As development continues, we can expect to more groundbreaking applications and use cases emerge, further solidifying the role of AI Agents in shaping the future of Web3.