AI Agents: Transforming Information Distribution and Market Dynamics

According to PANews, AI agents are revolutionizing the landscape of information distribution and market dynamics, offering significant application value beyond traditional methods. The AI-driven information dissemination and interaction mechanisms have proven more efficient than conventional key opinion leaders (KOLs), leading to increased fan growth, expanded application scenarios, and enhanced advertising value. The approach of issuing assets through community co-creation has disrupted the traditional ICO model, reconstructing the liquidity sequence from build-and-exit to a new interest community involving capital, project teams, and community members. This shift highlights the model's value. Large language models (LLMs) are expected to invigorate blockchain infrastructure, including TEEs, chain abstraction, DA, Oracle, interoperability, and zkVM components. This development aims to build a trustworthy on-chain and off-chain infrastructure environment, showcasing narrative value. Projects like DeFAi, GameFai, and DePinFai, which integrate AI into existing frameworks, are redefining user experiences by transitioning from general applications to vertically segmented, customized experiences. This evolution underscores the commercial value of AI agents. AI agents are leading a comprehensive systemic reconstruction, encompassing social media information distribution paradigms, community-driven tokenomics, and the integration of on-chain and off-chain infrastructures. This transformation is not merely a technological stack but a multi-dimensional approach to realizing true application value. In an immature early market, value is diverse and complex. A narrow focus on single application value may reveal limitations over time.