The Current Status and Future Prospects of AI Agents

As time progresses to 2025, artificial intelligence has become an indispensable part of our lives. However, there are still many misunderstandings about the concept of an Agent.

To be referred to as an "AI Agent", a system must follow the steps below to solve problems:

1. Perceiving the Environment
2. Thinking Analysis
3. Take action

Taking the AI Agent for automatically investing in cryptocurrencies as an example, its workflow is as follows:

1. Perception: Get the latest cryptocurrency news.
2. Reflection: Assess the impact of news on specific cryptocurrencies
3. Action: Buy or sell based on the analysis results

So, is the widely known ChatGPT considered an AI Agent? Although ChatGPT considers itself an AI Agent, it is more like an intelligent dialogue component, lacking complete multimodal perception and the ability to operate in a physical environment.

In contrast, a true AI Agent typically has the following characteristics:

1. Focus on solving problems in specific verticals.
2. Able to obtain more data from the real world.

Currently, AI Agents in the market are mainly focused on the following areas:

1. AI Investment: Cryptocurrency trading based on real-time news analysis
2. AI Virtual Companion: A chatbot with specific personality settings
3. Opinion Output: Provide professional comments and analysis for specific fields
4. Virtual Idol: AI-based digital artists that can release music works.
5. Prediction Market: AI systems specifically designed for market forecasting
6. AI Resource Sharing: Integrating various AI services to provide a pay-per-use model.

In addition, there are some AI Agents focused on areas like image generation and music creation.

It is worth noting that the current development trend of AI Agents is quite similar to the early ICO boom and DeFi summer. Various AI frameworks have emerged like mushrooms after rain, such as AI16Z, Virtual, AVA, etc., which provide developers with tools for rapid deployment of AI Agents, while also introducing token economic models.

However, the core innovation of these frameworks is more reflected in the token issuance module rather than the AI technology itself. They are usually modifications based on existing AI technology, with added cryptocurrency-related functions.

Compared to the development path of traditional AI companies, the combination of cryptocurrency and AI provides a fast way for projects to achieve "listing." Although this model carries bubble risks, it also offers a quick opportunity for good ideas and teams to gain market validation.

Although there may be overheating in the AI Agent field at present, the greatest advantage of cryptocurrency lies in its ability to achieve rapid market discovery. In this highly competitive environment, it is possible that some innovative products exceeding the expectations of traditional AI developers may emerge.

As time goes on, AI technology will continue to evolve, and we may see more amazing application scenarios. Future AI agents may possess stronger cognitive abilities and autonomy, further blurring the lines between artificial intelligence and human intelligence.