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How will AI Agent break through next?
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As global economic uncertainty intensifies, market sentiment continues to be sluggish, and Web3 AI remains one of the most reflexive growth tracks.The rapid advancement of AI innovation, such as the layout of technology giants such as OpenAI, Anthropic, DeepSeek, Nvidia, and Alibaba, has kept it at a very high level of attention.
At present, the total market value of the AI sector has recently rebounded to $6 billion after falling to a low of $4 billion in March. Despite the pressure on the overall market environment, there are still teams that insist on exploring AI Agent scenarios suitable for the crypto ecosystem. From the early rampant conversational AI assistants to the current solutions that focus more on practical problems, some new trends have emerged.
Earlier this year, the hot trend in DeFAI was to build a ChatGPT-style interface as an interaction layer between users and DeFi protocols. However, practice has shown that simply providing a conversational interface does not lead to a good user experience. The problem is that most teams have insufficient investment in the reasoning layer and the execution layer, resulting in AIAgent still relying on the user's additional judgment when providing strategy recommendations. For example, instead of using AIAgent to select the optimal transaction path, it is better to use mature tools such as Deflama Aggregator, Across, or Pendle directly.
The traditional ChatGPT-style interaction method is not suitable for all scenarios. Web3 AIAgent is exploring new ways of interaction to make it more naturally integrated into users' daily workflows.
Virtuals' AI Agent tokenization platform has been running for 6 months. Although the overall ecosystem market value has declined due to market fluctuations, the number of its agents has increased from 50 to 716, and it is still a leader in the AI Agent field.
