Scale Your Web3 AI Agents DApps with Web3Auth

Scale Your Web3 AI Agents DApps with Web3Auth

On this page

Web3 AI agents are taking over the digital world! By 2032, users will be spending more time interacting with AI agents than using apps on smart devices.1 With the rising popularity of AI agents, the competition for new users among Web3 AI agents dApps is set to be heating up as the market becomes more saturated in 2025 and beyond.

What are Web3 AI Agents? 

Are AI agents and bots the same? Yes and no. All AI agents can be considered bots, but not all bots are AI agents which are generally more advanced and intelligent versions of bots, powered by autonomous software programs designed to perform tasks and make decisions without requiring constant human intervention.2 AI agents leverage artificial intelligence technologies such as machine learning, natural language processing, and computer vision to understand, learn, and act based on data or user input.

Unlike traditional AI solutions in centralized systems, AI agents in Web3 operate in a decentralized manner, interacting directly with blockchain networks to personalize and simplify the decentralized web.

Personalized DApps Experiences 

AI agents enhance user experiences in dApps by offering personalized services. For example, AI agents can offer tailored recommendations for NFT marketplaces based on user preferences and adaptive gameplay mechanics in blockchain-based games. A real world use case of AI agents for adaptive gameplay is NVIDIA ACE’s in-game characters which deliver dynamic gameplay experiences that rivals the collaboration and adaptability usually found with human teammates.3

Smart Contract Automation

AI agents can monitor blockchain activity to trigger or interact with smart contracts based on predefined criteria. For example, AI agents can manage decentralized finance (DeFi) protocols by executing trades, adjusting liquidity, or rebalancing portfolios based on predefined conditions. For instance, the use of AI agents on DeFi platforms like Compound or Uniswap can autonomously adjust liquidity pools based on market fluctuations. A real world use case of decentralized finance AI agents (DeFAI) is Orbit which uses AI agents for intelligence risk management of token swaps, staking, yield farming, lending and borrowing transactions across 116 blockchains and 200+ protocols including Compound.4

Beyond DeFi, some of the trending consumer use cases of Web3 AI agents are in the categories of co-ownership tokenization, DAO VC and market analytics.

  • Co-Ownership Tokenization - Virtual Protocols

Virtual Protocols is a co-ownership layer which facilitates the tokenization of revenue-generating AI assets in gaming and entertainment applications.5  

  • DAO VC - a16z

ai16z is an AI-driven DAO VC which combines artificial intelligence and collective intelligence to generate insights to support the decision-making of VC investments.6

  • Market Analytics - AIXBT

AIXBT is an AI-powered crypto market analytics platform which tracks and interprets market trends using advanced narrative detection and alpha-focused analysis.7

Driven by these innovative Web3 use cases, the AI agents market which was worth USD5.29 billion in 2024 is projected to grow more than 4,000% to reach USD216.8 billion by 2035. 

AI Agents Market (Source: Roots Analysis

This explosive growth offers Web3 businesses a unique opportunity to integrate AI agents early, gaining a competitive edge in the coming decade.

Key Industry Verticals and Use Cases of Web3 AI Agents

The four thousand-fold increase in the value of the AI agents market over the next decade is driven primarily by the 3 main pillars of AI i.e. automation, interaction and optimization. 

  • Automation

The automated learning functions of AI agents allow them to improve over time, making them valuable tools in industries such as AI Infrastructure-as-a-Service (AI IaaS) which taps into the ability of AI agents to make decisions autonomously to accelerate digital innovation. 

  • Interaction

AI agents' ability to interact with their environment allows them to make real-time decisions and continuously improve their performance. This capability is essential for AI agents to adapt and optimize their operations in response to dynamic conditions such as human interactions through conversational AI.

  • Optimization

AI agents play a key role in enhancing operational efficiency and optimizing large-scale data collection which makes them suited for data crowdsourcing.

The automation, interaction and optimization pillars of AI agents have resulted in them featuring particularly prominently in the industry verticals of AI IaaS, interactive entertainment, and data crowdsourcing. 

AI Infrastructure-as-a-Service (AI IaaS)

AI agents optimize cloud-based AI ecosystems by managing resources like compute, storage, and networking based on real-time demand. They streamline data processing, model training, and deployment workflows. In Web3, AI agents automate smart contract development by suggesting efficient codes and optimizing the entire process.

OpenLedger’s Proof of Attribution mechanism ensures that AI agents fairly reward users whose data are used by AI model developers, ensuring users are properly credited and compensated for their input through a decentralized trust system.8

OpenLedger’s Proof of Attribution Mechanism (Source: OpenLedger)

Interactive Entertainment

AI agents are transforming Web3 user experiences through interactive chatbots which serve as virtual companions, customer support agents, or in-game characters, delivering real-time, personalized interactions that deepen audience engagement. For example, in Web3 gaming, developers can use AI agents as NPCs with conversational AI functions to interact using dialogue that are dynamically adjusted based on conversations of players and their choices, enhancing engagement and retention. Such interactions also align with personalized in-game assets, like customizable NFTs, creating immersive storytelling experiences.

Avatar.One's chat system allows users to create customizable AI-powered virtual girlfriends with unique personalities and interests and be rewarded based on the number of chats generated by their AI-powered girlfriends by interacting with other users.9

Avatar.One's Chat System (Source: Avatar.One)

Data Crowdsourcing

AI agents facilitate large-scale data collection projects by managing contributor tasks, ensuring data quality through real-time validation, and detecting inconsistencies. In Web3, agents significantly enhance the efficiency and appeal of data crowdsourcing platforms by incorporating tokenized rewards. Tokenized rewards encourage contributors to engage more actively by offering digital assets in exchange for data input.

Synesis One's AI crowdsourcing platform rewards users who help train its AI models by providing raw data for labelling or annotation, and for holders of Kanon NFT, when their unique word is used by Mind AI clients.10

Synesis One's AI Crowdsourcing Platform (Source: Synesis.One)

Across the industry verticals of AI IaaS, interactive entertainment and data crowdsourcing, AI agents support Web3 by improving smart contract automation, personalizing interactive experiences, and enabling efficient, tokenized data crowdsourcing, making these agents indispensable for the future of the decentralized web, hence the projection that more than 1 million Web3 AI agents will be born in 2025.11

Conclusion

We are proud to be supporting some of these amazing projects such as OpenLedger, Avatar.One and Synesis One with our seamless onboarding solution.

Try out Web3Auth to scale your Web3 AI agents dApps by checking out our dashboard today! 

Sources:

(1) Accenture, “Technology Vision 2025 | AI: A Declaration of Autonomy” - https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Tech-Vision-2025.pdf#zoom=40 

(2) AWS, “What are AI Agents? - Artificial Intelligence” - https://aws.amazon.com/what-is/ai-agents/ 

(3) NVIDIA, "NVIDIA Redefines Game AI With ACE Autonomous Game Characters" -
https://www.nvidia.com/en-my/geforce/news/nvidia-ace-autonomous-ai-companions-pubg-naraka-bladepoint/

(4) Orbit, "Your AI Companion for Effortless DeFi" - https://www.orbitcryptoai.com/

(5) Virtuals Protocol, "About" - https://www.virtuals.io/about

(6) a16z, "Eliza OS" - https://www.elizaos.ai/

(7) CoinGecko, "aixbt" - https://www.coingecko.com/en/coins/aixbt-by-virtuals

(8) OpenLedger, “The World’s Data Blockchain For AI” - https://www.openledger.xyz/ 

(9) Synesis One, “Train AI. Earn crypto” - https://www.synesis.one/

(10) Avatar.One, “Create your perfect AI girlfriend, chat for free, and share to start earning today!” - https://www.avatar.one/ 

(11) VanEck, “VanEck’s 10 Crypto Predictions for 2025” - https://www.vaneck.com/us/en/blogs/digital-assets/matthew-sigel-vanecks-10-crypto-predictions-for-2025/