This article compares the applications of AI Agents in Web2 and Web3. Web2 has already widely adopted AI Agents to enhance efficiency in areas like sales and marketing. Web3, with blockchain integration, opens new application scenarios, especially in DeFi. While Web3 faces short-term challenges, it has the potential to redefine industry norms by leveraging unique advantages.
The article highlights how Web2 companies have integrated AI Agents in daily operations, automating tasks and optimizing workflows. Examples of Web2 AI Agent applications include Apten_AI and Bild_AI. Conversely, Web3 AI Agents, like sendaifun and ai16zdao, integrate blockchain technologies for new opportunities in DeFi.
The Web2 vertical Agents are merging with crypto-native models. Unlike SaaS models, these rely on token-gated mechanisms, with revenues from token transaction fees and API usage fees.
The discussion extends to whether Web3 AI Agents can compete with Web2 startups. Short-term challenges in finding product-market fit exist, but Web3's inherent advantages suggest long-term potential.
Key cryptonative AI Agent scenarios include DeFAI for DeFi infrastructure, AI-driven research agents for data analysis, and data-driven AI Agents for decision-making.
The article concludes that while Web3 vertical Agents are in their infancy, their potential to surpass Web2 counterparts is substantial, offering a glimpse into the future of automation and intelligence in the digital economy.
