#我看好的AIAgent Based on current industry trends and market performance, the following categories of AI Agents have high prospects, covering different application scenarios and fields:

1. Vertical Industry AI Agents

Financial Sector: For example, Zhiyuan Technology's Financial Agent, positioned as a "Private Equity Fund Manager AI Partner," deeply integrated with top private equity quantitative strategy data, providing investment analysis, risk assessment, and other services. By 2025, revenue is expected to grow significantly, demonstrating high value in the financial professional field.
Medical Sector: Mai Diagnosis Tong's Medical Agent focuses on digitalizing traditional Chinese medicine pulse diagnosis, collaborating with medical institutions to build data closed loops, enhancing diagnostic support capabilities. It has been applied in several top-tier hospitals, addressing the industry's need for precise diagnosis.
Industrial Manufacturing: Lianzhi Manufacturing's Industrial Agent deployed in factories of companies like BYD, with quality inspection Agents powered by proprietary models to achieve high-precision defect detection, improving production efficiency and quality control. This showcases practical value in industrial scenarios.

2. Enterprise Process Optimization AI Agents

HR Full-Process Agent: For example, Zhenghe Ecology's HR Full-Process Agent can automate recruitment, training, performance evaluation, and other HR management processes, helping companies reduce labor costs, improve management efficiency, and meet digital transformation needs.
Supply Chain Optimization Agent: Some companies have launched supply chain Agents that analyze real-time data and forecasts to optimize inventory management, logistics, and distribution, reducing operational costs and increasing supply chain resilience—an important tool for cost reduction and efficiency enhancement.

3. High-Value Personal Assistant AI Agents

High-End Financial Management Agent: Some AI Agents focused on high-end wealth management combine market analysis and investment strategy recommendations to provide personalized financial services for high-net-worth individuals, meeting their refined wealth management needs.
Research Literature Agent: Designed for researchers' literature retrieval, analysis, and review needs, offering intelligent literature management, knowledge graph construction, and other services to improve research efficiency and accelerate scientific progress.

4. Multi-Agent Collaboration AI Agents

Swarms: As a multi-agent framework, Swarms supports enterprises in building and managing collaboration among multiple AI Agents. It is suitable for complex business scenarios such as multi-stage tasks in finance, healthcare, and other fields. It has provided solutions for many large enterprises, with high technical barriers and strong market demand.

5. Voice Interaction AI Agents

Doubao, Xiao Ai, Tmall Genie, etc.: Mainstream domestic voice interaction AI Agents that utilize natural language processing and speech synthesis technologies to enable voice interactions with users. Widely used in smart home devices, intelligent customer service, and other fields. As voice technology continues to advance, their application scenarios and user base are expanding continuously.

These AI Agents demonstrate strong market competitiveness and application value in their respective fields. However, it should be noted that the development of AI Agents is still in rapid iteration, and specific prospects need to be comprehensively assessed based on technological maturity, market demand, and competitive environment.