Summary of Key Points
At the 2026 World Artificial Intelligence Conference, Wanlian Yida introduced the concept of the "Industrial Intelligent Agent Internet," a new form of industrial organization that enables industrial systems to operate autonomously and without relying on humans. Based on the Wanlian Moore large model, this technology addresses the shortcomings of traditional industrial internet models, such as centralization, low efficiency, and information silos, through the cross-organizational collaboration of enterprise agent intelligent agents. It features three core characteristics: "boundlessness," "uninterruptibility," and "self-growth." The goal is also to leverage China's industrial strengths to reshape the global supply chain logic.
I. Industrial Intelligent Agent Internet: The "Autonomous Driving" Revolution of AI + Industry
In simple terms, the Industrial Intelligent Agent Internet allows various components within an industry to function independently, much like self-driving vehicles. In the past, the internet (both for consumer and industrial purposes) relied on human intervention—messages were sent, orders placed, and cross-departmental coordination was all done by people, which became a bottleneck for efficiency. Now, Wanlian Yida uses the "Wanlian Moore" large model as the foundation. This model integrates computing power at the grassroots level and provides each enterprise's intelligent agent with the necessary capabilities to perceive data, analyze issues, make decisions, and execute tasks.
For example, when an automobile company receives a new order, it used to be necessary for humans to notify the steel factory to adjust production, negotiate logistics, and secure funding from banks. However, now the company's "agent intelligent agent" can handle all these tasks automatically without any human intervention. This is like providing each enterprise with a 24/7, self-thinking assistant that can also communicate and collaborate directly with assistants from other companies.
II. Breaking the Centralized "Toll Fees": Solving Long-Ststanding Problems of Industrial Internet
For the past 30 years, the industrial internet has been plagued by centralization, where a few large platforms (such as e-commerce and supply chain platforms) control traffic and data. Enterprises had to work through these platforms and pay high fees (such as commissions or service charges) to collaborate with upstream and downstream partners. Additionally, there were information silos between different enterprises, leading to low efficiency.
The Industrial Intelligent Agent Internet replaces centralization with distribution: Each enterprise has its own intelligent agent that can communicate directly with others without going through intermediaries. For instance, if a clothing factory realizes it needs more fabric, its intelligent agent can directly request it from the textile factory, eliminating middlemen and waiting times for platform approval. This not only saves costs but also allows data to flow freely, reducing information discrepancies.
III. Three Disruptive Characteristics: Boundlessness, Uninterruptibility, and Self-Growth
1. Boundlessness: It breaks down barriers between enterprises and geographical limitations. Previously, enterprises could only collaborate with internal departments or fixed partners; now, intelligent agents can work with any other enterprise on the supply chain. For example, a Chinese smartphone factory's intelligent agent can directly negotiate production plans with a Vietnamese manufacturing plant without the need for international travel.
2. Uninterruptibility: Intelligent agents operate 24/7, unaffected by time zones. If a European customer places an order at night, the Chinese factory's intelligent agent can immediately respond and schedule production, significantly reducing decision-making times from days to seconds.
3. Self-Growth: The more these agents are used, the smarter they become. The experience and data they accumulate during operations are fed back into the Wanlian Moore large model, enhancing all intelligent agents' capabilities. For instance, if one agent finds a solution to a problem (such as how to adjust production in response to rising raw material prices), other agents can use that method in similar situations.
IV. Global Ambitions: Turning China's Industrial Advantages into "Soft Power"
China is at the heart of the global supply chain, possessing a complete industrial system and a wide range of industrial scenarios. The Industrial Intelligent Agent Internet can transform these tangible advantages into standard-based "soft power":
For example, China's expertise in supply chain management (efficient allocation of raw materials, reduction of inventory) can be shared globally through this platform. Foreign enterprises can learn from Chinese practices, and Chinese companies can connect directly with the global supply chain. For instance, an African farm's intelligent agent can negotiate purchase prices directly with a Chinese food processing factory, eliminating information barriers and enabling China's industrial network to serve the world.
V. Future Challenges: Trust and Boundaries are Crucial
Although the direction is clear, the Industrial Intelligent Agent Internet is still in its early stages. The main challenges include:
- Trust Mechanisms: How can intelligent agents from different enterprises trust each other? For example, if an automobile company's agent places an order with a steel factory, how can it ensure the steel factory fulfills it without defaulting? A set of trust rules between agents is needed.
- Power Limits: How much authority do intelligent agents have? Can they sign contracts on their own? Who is responsible for any mistakes? These issues require clear regulations.
However, Du Xinkai believes that these challenges can be addressed over time. Once China's 26 million productive enterprises adopt these intelligent agents, the way industries operate could be fundamentally changed.
In summary, the Industrial Intelligent Agent Internet represents the next step in the integration of AI into industry. It's not about simply adding AI tools to businesses but about redefining how industries function, making autonomous, unmanned collaboration possible. For ordinary enterprises, this means lower costs and faster response times. For China, it presents an opportunity to leverage its industrial strengths on a global scale.