AI activity on blockchains has nearly doubled since the start of the year, with more funding and users engaging with AI decentralized apps (DApps), according to DappRadar.
Why it matters: The growth of AI signifies a structural change in user engagement with decentralized applications, reshaping how users interact with protocols, navigate DApps, and automate personal financial strategies.
By the numbers:
- AI-related onchain activity has surged by 86% so far in 2025.
- An estimated 4.5 million users are engaging with AI DApps.
- AI app market share has increased from 9% at the beginning of the year to 19%, just behind blockchain gaming at 20%.
- AI agent projects have raised $1.39 billion in 2025, a 9.4% increase compared to 2024.
DappRadar data from January to June revealed that most AI DApp users are based in Europe (26%), followed by Asia (22%) and North America (15.8%). The largest share of users, at 33%, comes from unspecified regions.
What they’re saying:
- “Whether it’s through DeFi copilots, social agents, or autonomous gaming assistants, AI agents are becoming a new onchain interface layer,” said DappRadar analyst Sara Gherghelas.
- “In Web3, investors are increasingly seeing AI agents as a transformative primitive, reshaping how users interact with protocols, navigate DApps, and automate personal financial strategies,” Gherghelas added.
- “Whether it’s a DeFi agent managing trades in Asia, a social agent representing users in Europe, or gaming companions interacting with players in North America, the demand is diverse and increasingly cross-continental,” she concluded.
The big picture: The convergence of blockchain and AI is laying the foundation for a new digital experience called ‘Web3 AI Agent Flow.’ This framework combines the computational reasoning of AI with the trust guarantees of blockchain, allowing users to request complex services in natural language without the need to manage technical aspects.
What’s next: Web3 AI Agent Flow represents a structural shift, proposing a future where users interact through autonomous agents and the networks that allow them to think and prove. If successful, it could lead to a more intuitive user experience and mainstream adoption of Web3.