AI Network Expands Token Listings to 7 DEXs for Omnichain AI Economy
AI Network's native token AIN expands to 7 decentralized exchanges, enabling cross-chain collaboration and utility in the omnichain AI economy.
Seoul, South Korea – July 5, 2025 – AI Network has announced the multichain expansion of its native token, $AIN, with listings across seven major decentralized exchanges (DEXs). This move establishes infrastructure for cross-chain AI agent collaboration and messaging.
Key DEX Listings:
- Base – Aerodrome
- BSC – PancakeSwap
- Avalanche – LFJ
- Polygon – QuickSwap
- Arbitrum – Camelot
- Optimism – Velodrome
- Ethereum Mainnet – Uniswap
The expansion is part of AI Network's broader roadmap to build an interconnected agent ecosystem powered by:
- LayerZero’s omnichain messaging
- A2A/MCP communication standards
- Universal ontology with O-AINFTs
Three Pillars of AI Network's Vision:
- Universal Connectivity: Linking agent toolkits across chains via LayerZero
- Universal Language: Enabling semantic collaboration via A2A and MCP protocols
- Universal Identity: Defining agent identity through O-AINFTs and AI ontology
$AIN now serves as a core utility asset in the omnichain AI economy, used for:
- Paying gas fees for cross-chain A2A messaging
- Staking to validate agents and secure the network
- Participating in governance to define ontology standards
AI Network positions itself at the convergence of four key trends:
- Multichain Web3
- Generative AI
- Agent-based systems
- Omnichain protocols
For more information, visit:
Related News
Kaizen AI Generators Power Continuous Improvement in Tech
Jan Bosch explains how kaizen AI generators enable systems to continuously adapt and improve through real-time monitoring and experimentation.
SF AI Meetup Explores Next Gen Autonomous Agents and ML
SF AI/ML Meetup on Engineering Next Generation AI Systems with autonomous agents and ML architectures featuring industry leaders.
About the Author
David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.