AI Agent Trends: Beyond AI Slop Bots

As global economic uncertainty intensifies, market sentiment remains sluggish, and Web3 AI remains one of the most reflective growth tracks.

As global economic uncertainty intensifies, market sentiment remains sluggish, and Web3 AI remains one of the most reflective growth tracks.

The rapid advancement of AI innovation (such as the layout of technology giants including OpenAI, Anthropic, DeepSeek, Nvidia, and Alibaba) has kept it in the spotlight.

Currently, the total market value of the AI sector has 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 are persisting in exploring AI Agent scenarios suitable for the crypto ecosystem.

From the early widespread conversational AI assistants to today's solutions that focus more on practical problems, some new trends have emerged:

DeFAI's transformation: from abstraction layer to “Alpha discovery layer”

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 not invested enough in the “reasoning layer” (understanding user intent) and the “execution layer” (optimizing execution paths), resulting in AIAgents still relying on users' 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.

Therefore, many projects are transforming to the “Alpha Discovery Layer,” which is to help users discover the most valuable information in the market. In a market environment where information is scarce, finding the best “gold digging point” is the key. For example:

* At present, it has not been confirmed that existing AI agents can stably provide excess Alpha, but some early results have begun to show their value.

Multimodal/Multichannel AI Agent

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.

This type of multimodal/multi-channel AI Agent is redefining the user experience of Web3, making AI a true part of the transaction and research process.

Virtuals: The core platform of the AI Agent ecosystem

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. Currently, the most active application scenarios on Virtuals include:

* Virtuals is also developing the Agent Commerce Protocol (ACP), which aims to allow AI agents to work together to create a more efficient economic system. The first two application scenarios may be agent hedge funds and agent media centers.

Bittensor as AI Infrastructure

Bittensor, whose token is Tao, is experiencing a new round of demand growth. Previously, many users only used TAO for staking in the Root Network, but now more people are willing to invest TAO in tokens of specific subnets to support specific AI applications.

ElizaOS V2 version and new Launchpad platform Autofun

ElizaOS has always been one of the most popular AI agent development frameworks. Its V2 version is about to be released. At the same time, the new Launchpad platform Autofun will be launched within two weeks. There are already 15 projects ready to join the ecosystem.

Despite the challenges, ElizaOS's ecosystem is still growing rapidly, and its decentralized GPU hosting solution Comput3AI will also be launched on the Autofun platform.

summary

AI Agent is still one of the most promising tracks in Web3. It not only brings together innovations in AI and encryption, but also has the potential to reshape the productivity and working methods of the entire industry. From AI trading assistants to cross-chain information capture, from revenue optimization to automatic execution, AI is bringing a new paradigm to Web3.

All of this is like the Internet boom of the 1990s, but on a larger scale and with a more far-reaching impact. For early participants, now is the best time to enter.