How does AI Agent reshape social media, community-driven and vertical application scenarios?

Don’t wait and see on the grounds that AI Agent has no application value yet:

1. @aixbt_agent uses AI-driven information distribution and interaction mechanisms to achieve more efficient information strategy release and Mindshare share than traditional KOLs. Its significant fan growth, application scenario expansion, advertising value exploration, etc. are enough to prove its Vertical "application value";

2. MEME's method of "issuing assets" enters the market through community co-construction, subverting the traditional ICO project party-led model, reconstructing the past build+exit liquidity sequence, allowing capital, project parties, and community members to It has become a brand-new community of interests and has demonstrated sufficient "model value";

3. The natural off-chain characteristics of LLMs large models will activate a complete set of blockchain infrastructure, including application scenarios of TEEs, chain abstraction, DA, Oracle, inteoperability, zkVM and other components, making off-chain + on-chain trustworthy infra Environment construction has become a new goal and mission, showing a sufficiently strong "narrative value";

4. DeFAi, GameFai, DePinFai, etc. seem to be some old projects with a new shell of AI, but behind the saying "WTF" is "automatic upgrade", it has brought finance, games and other application scenarios from the general application stage. Vertically segment the customized experience-level application stage, which essentially redefines the "commercial value" of user experience;

What AI Agent will lead is a comprehensive systemic reconstruction, including the information distribution paradigm of social media, the vitality of community-driven Tokenomics, the integrated infrastructure of on-chain + off-chain, customized experience upgrades for vertical application scenarios, etc. This is not a simple technology stack. A single perspective and latitude cannot reveal the real application value.

Only by looking at it crosswise, in depth, and comprehensively can we see its true full picture.

In an immature early-stage market, value must be diverse and mixed. The mindset of only being able to see and believe in the value of a single application eventually exposed its limitations after the timeline was extended.