The Rise of Domestic Large Models, Agents Lead the New Era of AI!

[baoshi.rao]

Recently, DingTalk launched a new AI office application called 'DingTalk ONE.' This app is designed as a natural language communication interface between humans and AI, aiming to drive the efficient operation of work information flows through intelligent agents (Agents). This move not only improves office efficiency but also signifies the practical implementation of agent technology in daily work.

Agents are systems equipped with autonomous perception, decision-making, and execution capabilities. Their core features include autonomy, interactivity, reactivity, and adaptability. With continuous technological progress, agents can now independently accomplish tasks in complex and ever-changing environments, advancing AI toward higher levels of autonomous intelligence. A research report by Guosheng Securities highlights that model innovations by companies like DeepSeek and OpenAI have facilitated the practical application of agents, demonstrating their significance in the large model industry.

Image credit: Generated by AI, licensed by Midjourney

In the future, the application scenarios for agents will become even more diverse. According to analysis, three types of agents are expected to emerge: user-created agents, vendor-provided agents, and enterprise-deployed agents for employees. Huaan Securities emphasizes that DeepSeek's newly released V3.1 version will positively impact domestic computing power demand and accelerate the construction of China's computing power ecosystem, thereby advancing large model development in vertical fields and promoting the commercialization of AI agents.

In the capital market, related listed companies are actively expanding into this sector. For instance, TRS continues to explore agent applications and has undertaken key projects, including consumer protection agent initiatives for state-owned banks. Meanwhile, Hand Information, leveraging its AIPaaS integration platform, has introduced a series of financial agent products to help enterprises achieve intelligent and automated financial management.

As domestic large models and agent technologies mature, future work environments will become increasingly intelligent, significantly improving corporate operational efficiency. It is foreseeable that in the near future, agents will play an even more critical role across various industries, ushering in a new AI era.