The Future of AI Agents: Technological Revolution and Market Frenzy

By 2025, AI has become an indispensable part of our lives. However, many people still have misunderstandings about the concept of AI agents. In fact, a true AI agent project must follow the "perceive-think-act" workflow.

Taking AI automated investment in cryptocurrencies as an example, its operation is as follows:

1. Perception: Obtain the latest cryptocurrency news.
2. Reflection: Analyze the impact of news on specific cryptocurrencies
3. Action: Decide to buy or sell based on the analysis results.

So, is the well-known ChatGPT considered an AI agent? While it claims to be a general AI agent, if we apply a stricter definition of AI agents that requires richer perceptual and execution capabilities, ChatGPT is more like an intelligent conversational component rather than a complete AI agent.

In contrast, true AI agents typically possess the following characteristics:

• Focus on solving problems in specific areas.
• Able to acquire and process more data from the real world.

Currently, AI agency projects on the market can be roughly divided into the following categories:

1. AI Investment: Cryptocurrency trading based on real-time news analysis
2. AI Virtual Companion: A conversational system with specific personality settings
3. Opinion Output: Provide professional comments and analysis for specific fields.
4. Virtual Idol: AI-Based Digital Artist
5. Prediction category: such as prediction services for Polymarket
6. AI Resource Sharing: A platform that integrates various AI services
7. Others: multimodal applications such as AI painting, music creation, etc.

It is worth noting that the booming development of AI agent projects has similarities with the early ICO craze and the DeFi summer. Some major AI framework platforms, such as AI16Z, Virtual, and AVA, play a role similar to that of public chains, providing developers with tools for the rapid deployment of AI agents.

These frameworks not only provide technical support but also help developers issue tokens, which has become a key feature that distinguishes them from traditional AI frameworks. In fact, the core innovations of many AI agent projects may be more reflected in the token economic model rather than the AI technology itself.

Although some question the technological value of these projects, the advantage of the cryptocurrency industry lies in its ability to quickly achieve market discovery. This fast-paced iterative environment may foster some unexpected innovative products.

With the excellent market performance of AI agent projects, they have become one of the hottest tracks in the cryptocurrency field. Although there may be a bubble in the short term, this rapid market feedback mechanism helps quality projects stand out while quickly eliminating inferior projects.

Looking to the future, the continuous development of AI technology will bring us more astonishing possibilities. Although we cannot accurately predict what the AI world will look like in 20 or 30 years, there is no doubt that AI will continue to profoundly change our ways of living and thinking.