AI Agents Dominate Web3 with 1.39B Funding and 17K Active Agents
AI agents are transforming Web3 in 2025, raising $1.39 billion and deploying over 17,000 agents on Virtuals Protocol, with 4.5 million daily active wallets.
Key Highlights
- On-Chain Dominance: AI's share of Web3 activity rose to 19% in June 2025, up from 9% in January, with 4.5 million daily active wallets.
- Funding Boom: AI agent projects raised $1.39 billion in 2025, a 9.4% increase from 2024, rivaling blockchain gaming investments.
- Agent Deployment: Over 17,000 AI agents have launched on Virtuals Protocol since November 2024, averaging 85 new agents daily.
- Token Market: AI tokens hit a $5.9 billion market cap, despite a 64% drop from early June highs, with $1.4 billion in 24-hour trading volume.
- Regional Adoption: Europe (26.2%) and Asia (21.9%) lead in AI dApp usage, followed by North America (15.8%).
What Are AI Agents?
AI agents are autonomous programs that perform tasks, make decisions, or interact with users. In Web3, they specialize in:
- DeFi: Managing trades, yield strategies, and portfolios.
- Social: Representing users in decentralized apps, managing profiles, and responding to messages.
- Gaming: Acting as guides or opponents, trained on game mechanics and player behavior.
Token Utility and Hype
AI agent tokens serve various roles:
- Governance: Community decision-making.
- Access: Unlocking advanced features.
- Fundraising: Supporting agent training and maintenance. However, some tokens are meme-like, lacking technical substance and riding speculative waves.
Leading Blockchains for AI dApps
Top chains by AI activity (Jan–Jun 2025):
- Matchain: 1.9 million daily users.
- opBNB & Nebula: Strong in gamified AI services.
Global User Distribution
AI agent adoption is worldwide:
- Europe: 26.2%
- Asia: 21.9%
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.
