Just on February 5, Baidu's Qianfan platform revealed a set of impressive AI implementation "battle reports": the platform has already supported companies in building over 1.3 million intelligent agents. This means that while most people are still trying to write good prompts (Prompts), a large number of enterprises have already taken a step ahead, allowing AI to truly penetrate the front lines of their business operations.
This is not only a victory of numbers, but also a comprehensive breakthrough of AI tooling capabilities.
According to the latest data, the daily usage of tools on Baidu's Qianfan platform has reached tens of millions of times. From finance, manufacturing to retail and education, intelligent agents are no longer just novel experiments in laboratories, but have become a "must-have" for handling complex tasks and improving enterprise efficiency.
To make AI more user-friendly, Baidu has brought in a group of "external experts."
Baidu's Qianfan announced further expansion of its open model ecosystem, adding several top-tier open-source models, including Kimi K2.5, GLM4.7, and MiniMax M2.1. This "inclusive" attitude allows developers to choose the most suitable foundation for training their own intelligent agents based on business scenarios on the same platform.
So, what will AI evolve into in the future?
Li Jingqiu, General Architect of Baidu Intelligent Cloud's AI and Large Model Platform, gave a bold prediction: by 2026, intelligent agents will complete a stunning transformation from "dialogue assistants" to **"digital employees."** They will have strong predictive and autonomous planning capabilities, no longer requiring humans to issue instructions step by step, but rather proactively delve into core business operations, independently completing complex closed-loop tasks.
From the implementation of these 1.3 million intelligent agents, it can be seen that the competition of large models has long passed the "ranking" stage, and the real battlefield lies in who can help enterprises solve practical problems. In the marathon of AI commercialization, Baidu is clearly running in the first tier.
