Web3 Technology Meets AI: A New Era for On-Chain Agents

Web3 Technology Meets AI: A New Era for On-Chain Agents

In the rapidly evolving digital ecosystem, Web3 technology is paving the way for decentralized, transparent, and user-empowered systems. Paired with the rise of artificial intelligence (AI), this new frontier is unlocking possibilities that redefine how machines interact with the blockchain. From intelligent smart contracts to autonomous on-chain agents, the fusion of Web3 technology and AI is not only transformative—it's inevitable.

This article explores the role of AI in blockchain technology, highlighting its potential across several Web3 verticals and real-world use cases. It also touches on SubQuery’s shift toward AI-powered infrastructure, including recent advancements like the MCP integration and GraphQL agent.

Understanding Web3 Technology

Before diving into how AI enhances blockchain, it’s essential to answer the question: what is Web3 technology?

Web3 refers to the next generation of the internet built on decentralized infrastructure. Unlike Web2, which relies on centralized servers and platforms, Web3 applications operate on blockchain networks, enabling users to own their data, interact with smart contracts, and participate in tokenized economies.

At its core, Web3 blockchain technology promotes transparency, censorship resistance, and trustless interactions. With these foundational principles, Web3 is changing the way we build everything—from finance (DeFi) to digital identity and beyond.

The Role of AI in the Web3 Ecosystem

AI has already revolutionized industries through predictive analytics, automation, and natural language processing. In fact, PwC estimates AI could contribute up to $15.7 trillion to the global economy by 2030. Now, its integration into Web3 technology is enabling the creation of intelligent agents that can operate on-chain.

These on-chain agents are autonomous programs capable of:

  • Analyzing blockchain data in real-time
  • Making decisions based on complex datasets
  • Executing smart contract functions automatically
  • Interacting with decentralized apps (dApps) on behalf of users

For example, AI-powered bots can monitor decentralized exchanges (DEXs) to execute optimal trades, or act as virtual assistants in DAOs, providing insights and facilitating proposals.

SubQuery: Powering Smart Web3 Agents

At SubQuery, we're enabling a smarter future for Web3 technology by combining powerful indexing with AI-driven tools. With the SubQuery GraphQL AI Agent, users can query indexed blockchain data in plain English—no manual GraphQL queries required. This means you can ask questions like “What wallet has the most voting power in this DAO?”. It's designed for seamless integration with AI interfaces like ChatGPT or Discord bots, so developers, analysts, and even end users can interact with live blockchain data without writing a single line of code.

Additionally, through our integration with MCP and AI-powered IDEs like Cursor, developers can create, build, and deploy blockchain indexers using natural language—no authentication or private keys required. Meaning developers can build their indexer completely using AI for their next-gen Web3 applications.

Table showing how Web3 technology evolves with AI tools like SubQuery’s MCP integration for smarter indexers.

Use Cases: AI-Driven Web3 Applications

Here’s how this partnership between AI and blockchain is already reshaping Web3 applications:

  1. AI Trading Agents – Execute real-time trades on decentralized exchanges with zero human input.
  2. Smart Customer Support – Provide instant support in decentralized platforms using bots that access blockchain data.
  3. DAO Automation – Analyze proposals, suggest voting options, and even delegate tasks autonomously.
  4. DeFi Optimization – Monitor yield farming opportunities and shift funds for maximum returns using intelligent agents.

These examples highlight the immense value of pairing AI’s decision-making capabilities with the transparency and trust of the Web3 blockchain.

Diagram of 7 AI agent use cases in Web3 technology, like DAO automation, smart trading, and intelligent customer service

Challenges and Considerations

As with any technological revolution, this convergence comes with challenges:

  • Security: On-chain AI agents must be hardened against exploits and manipulation.
  • Data Accuracy: AI relies on accurate data. Using trusted data sources like SubQuery is vital.
  • Ethical Boundaries: Autonomous agents should operate within ethical guidelines, especially in finance or governance roles.

Despite ongoing challenges, AI integration is becoming essential for Web3 companies aiming to deliver more efficient and intuitive user experiences. From automating financial strategies to powering next-gen dApps and enabling smarter interactions, AI is fast becoming the co-pilot of the Web3 technology movement. At SubQuery, we view this not as a passing trend, but as a pivotal evolution—where intelligent on-chain agents aren’t the exception, but the new standard.

Common Questions about Web3 Technology and AI

  1. What are Web3 technologies?Web3 is the decentralized version of the internet, powered by blockchain. It allows users to own their data and interact directly with applications without relying on centralized entities.
  2. Why would people use Web3?People use Web3 to gain more control over their data, access decentralized finance (DeFi), and participate in trustless, transparent systems without intermediaries.
  3. Does Web3 include AI?Yes, artificial intelligence (AI) is increasingly being integrated into Web3 to enable smarter applications, such as autonomous agents, data analysis, and intelligent dApps.

TL;DR

Web3 technology is evolving fast—and with the rise of AI, a new era of intelligent on-chain agents is emerging. By combining decentralization with machine learning, Web3 applications are becoming smarter, more responsive, and easier to build. SubQuery is leading this shift with AI-driven tools like the GraphQL Agent and MCP integration, enabling developers and users to query, deploy, and interact with blockchain data like never before. This is just the beginning of a more intelligent, automated, and user-centric Web3 future.

Ready to explore the intelligent future of blockchain? Learn how SubQuery is helping build the infrastructure for AI-powered Web3 technology—visit subquery.network.

About SubQuery

SubQuery Network is innovating web3 infrastructure with tools that empower builders to decentralise without compromise. SubQuery’s infrastructure network offers both data indexers and RPCs — fully decentralised, production-ready, and designed for scale.

Our fast, flexible, and open data indexer supercharges thousands of dApps on nearly 300 networks. Through innovations like AI-assisted development via the SubQuery SDK and Model Context Protocol (MCP) integration, SubQuery is making it easier than ever to build, deploy, and maintain blockchain indexers. We’re not just a company — we’re a movement driving an inclusive and decentralised web3 era, together.

​​​​Linktree | Website | Discord | Telegram | Twitter | Blog | Medium | LinkedIn | YouTube

Share Post

share with linked inshare with githubshare with x
Brittany Seales

Brittany Seales · Head of Marketing

Head of Marketing at SubQuery Network

You might also like