Since early 2025, AI-related on-chain activity has surged by 86%, with daily active unique wallets (dUAW) reaching approximately 4.5 million. This growth has elevated AI’s dominance to 19%, second only to gaming at 20%. This is a significant shift from its 9% market share at the beginning of the year.
This explosive growth is not just hype—it reflects a structural shift in how users interact with decentralized applications (dApps). From DeFi and social agents to autonomous gaming assistants, AI agents are becoming a new layer of on-chain interaction. They are not replacing users but augmenting them, enabling automation, optimization, and acting on their behalf.
The data confirms this trend: AI has dominated Web3 discussions over the past month and is likely to define its next phase of development. This article explores the evolution of AI agents, their applications, the role of tokens, and the capital supporting this transformation.
Key Insights
- AI’s on-chain dominance rose from 9% in January to 19% in June, with transaction activity growing 86% and daily active unique wallets reaching 4.5 million.
- AI agent projects have raised $1.39 billion as of June 2025, a 9.4% increase from the total funding in 2024.
- Since November 2024, over 17,124 agents have been launched on Virtuals Protocol, averaging more than 85 new agents per day.
- Although the market capitalization of AI tokens has declined 64% from its peak in early June, it remains at $5.9 billion, with a 24-hour trading volume of $1.4 billion.
- Europe (26.2%) and Asia (21.9%) are the regions with the highest usage of AI dApps, followed by North America (15.8%).
What Are AI Agents?
AI agents are autonomous software programs capable of performing tasks, making decisions, or interacting with users based on goals, prompts, or real-time data. While traditional AI agents serve industries like finance, healthcare, or customer service, the Web3 ecosystem is giving rise to crypto-native agents with unique capabilities and roles.
In Web3, AI agents are becoming increasingly specialized. Some act as on-chain DeFi agents, executing trades, managing yield strategies, or serving as portfolio "managers." Others are social agents that represent users in decentralized social applications, managing profiles and even responding to messages. In gaming, a new class of native gaming agents has emerged—AI companions trained on game lore, mechanics, or player behavior to act as guides or even opponents.
This is not just theoretical. According to cookie.fun, which tracks the agent economy, 1,748 AI agents are currently active across various environments. Since its launch in November 2024, Virtuals Protocol—a platform allowing users to create and deploy their own AI agents—has seen over 17,000 agents go live. The actual number may be even higher, as multiple blockchains are prioritizing infrastructure for AI agent creation, training, and deployment.
The agent economy is taking shape, and it is growing rapidly.
AI Agent Tokens: Utility, Hype, and Capital
In Web3, most AI agents are launched alongside tokens. The role of these tokens depends on the project’s vision and can serve multiple functions. In many cases, they are designed to support community governance, provide access to premium features, or act as a fundraising mechanism—especially since training and maintaining AI agents still require significant resources.
For others, tokens are merely a capitalization strategy—a way to gain liquidity, reward early adopters, or capitalize on market momentum. In some cases, they resemble meme coins disguised as AI tokens, issued around vague agent narratives with little technical substance, riding the wave of speculative frenzy.
Despite the noise, the AI agent token market has made notable progress. As of this writing, the total market capitalization of AI-related tokens stands at $5.9 billion, accounting for 0.18% of the entire crypto market. The 24-hour trading volume is also substantial, exceeding $1.4 billion.
However, recent trends have been less optimistic. At the beginning of the month, the market cap for AI agents was $16.6 billion, meaning the sector has lost 64% of its value in just a few weeks. This decline reflects broader market conditions rather than a shift in sentiment toward AI alone. But it also highlights the volatility of early-stage sectors, where token hype often outpaces actual utility.
AI agents are here to stay. But what about their tokens?
Top Blockchains Powering AI dApps
While AI agents are often the visible layer—interacting with users, executing transactions, or providing in-game assistance—their success largely depends on the underlying infrastructure. Blockchains supporting high-volume AI dApps are effectively laying the groundwork for the deployment, training, and interaction of AI agents.
Between January 1 and June 24, 2025, the following blockchains were the most active in terms of AI dApp usage:
Matchain leads with nearly 1.9 million daily active users, indicating a thriving AI infrastructure driven by social or agent-oriented dApps. opBNB and Nebula follow, both showing strong usage related to lightweight to gamified AI services.
While not all these dApps currently deploy agents, the momentum is clear. As AI agent frameworks mature, these blockchains are likely to host the next wave of autonomous agents, whether in DeFi, gaming, or social applications.
We may still be in the infrastructure-building phase of the AI agent boom, and these networks are leading the way.
Where Are the Users Coming From?
AI agents may exist on-chain, but their users are global. Understanding the sources of user engagement provides clearer insights into adoption trends, localization needs, and potential market opportunities.
From January to June 2025, according to DappRadar traffic data, Europe led in interactions with AI-related dApps, accounting for 26.2% of usage. Asia followed closely at 21.9%, with North America at 15.8%. South America, though smaller at 2.5%, shows a growing user base. Interestingly, 33% of traffic comes from unspecified or hard-to-categorize regions, grouped here as "Other."
This global distribution indicates that AI agents are not confined to one region. Whether it’s DeFi agents managing trades in Asia, social agents representing users in Europe, or gaming companions interacting with players in North America, demand is diverse and increasingly cross-continental.
As the industry matures, expect more regionalized agent behaviors, improved language modeling, and even agent personalities tailored to specific geographies. For now, the playing field is vast, and the race for user attention is global.
Capital Flowing into AI Agents
The AI narrative continues to dominate headlines and funding rounds. While centralized AI giants like OpenAI, Anthropic, and Mistral have raised tens of billions, the Web3 AI agent economy is also gaining traction.
As of 2025, AI agent projects have raised $1.39 billion, a 9.4% increase from 2024. This shows growing investor confidence that autonomous on-chain agents could be the next frontier. Although this figure is still far below centralized AI investments, it is notable that AI agent funding now rivals or even surpasses other Web3 sectors like blockchain gaming.
This contrast is significant. Centralized AI investment still dominates, with hundreds of billions flowing into model development, chips, and infrastructure. But in Web3, investors increasingly see AI agents as a new "primitive" that could reshape how users interact with protocols, navigate dApps, or even automate personal finance strategies.
The momentum is building. If it continues, 2025 could be the year AI agents attract more funding than any other Web3 vertical.
Conclusion
The rise of AI agents marks a profound shift in how users interact with decentralized systems. From DeFi traders and social companions to native gaming assistants, agents are rapidly evolving from experimental bots into foundational infrastructure.
The numbers back this up: Over 17,000 virtual agents have gone live since late 2024. Even amid market downturns, the AI token market remains substantial at $5.9 billion and growing. Agent-focused startups raised $1.39 billion in funding this year alone. And user engagement is global, with strong showings in Europe, Asia, and North America.
Challenges remain, however. Many tokens are driven more by hype than utility. Not all agents deliver on the promise of autonomy. And cross-chain infrastructure is still uneven. But as tools mature and real-world use cases proliferate, the agent economy is approaching a new baseline where interacting with on-chain AI is not the exception but the norm.
The race to build smarter agents, more robust ecosystems, and clearer standards is on. And we are still in the early stages.
Frequently Asked Questions
What is an AI agent in Web3?
An AI agent in Web3 is an autonomous program that performs tasks, makes decisions, or interacts with users on decentralized networks. These agents can manage DeFi portfolios, operate social profiles, or assist in gaming environments, often using blockchain technology for transparency and trustlessness.
How do AI agent tokens function?
AI agent tokens can serve various purposes, including governance, access to premium features, and fundraising. They may also incentivize developers and users within the ecosystem. However, some tokens are primarily speculative, so evaluating their utility is essential. To explore more strategies for evaluating token utility, check out this comprehensive guide.
Which regions lead in AI dApp adoption?
Europe and Asia are currently at the forefront, with 26.2% and 21.9% of AI dApp usage, respectively. North America follows with 15.8%, while emerging regions like South America are also showing growth. This global interest underscores the widespread potential for AI agent applications.
What challenges do AI agents face?
Key challenges include over-reliance on token speculation, uneven infrastructure across blockchains, and the need for more robust autonomy in agent operations. Overcoming these will require continued investment in technology and clearer industry standards.
How is capital being invested in AI agents?
In 2025, AI agent projects raised $1.39 billion, a 9.4% increase from 2024. While this is significant for Web3, it remains modest compared to centralized AI investments. Funding is primarily directed toward development, deployment, and scaling of agent-based dApps.
Can AI agents operate across multiple blockchains?
Yes, but interoperability remains a work in progress. Infrastructure projects are actively developing solutions to enable AI agents to function seamlessly across different networks, enhancing their utility and reach. For those interested in the technical aspects, you can view real-time tools that support cross-chain agent operations.