As the hype surrounding the metaverse fades, the market is increasingly asking a core question: what tangible value can the metaverse bring to enterprises? The answer lies in the details of technological implementation. Ecosystems like DBiM are leveraging AI Agent technology to transform the metaverse from a “virtual experience venue” into a “value creation hub”. AI Agents are no longer auxiliary tools for the metaverse, but the core engine driving its shift from concept to practical application. They break down the barriers between the virtual and physical worlds, enabling the metaverse to truly become a new frontier for enterprises to reduce costs, improve efficiency and drive innovative growth.

From “Experience-Driven” to “Efficiency-Driven”: Reconstructing the Value Logic of the Metaverse

The early development of the metaverse was trapped in the “experience-first” mindset. Enterprises invested heavily in building virtual exhibition halls and digital human live streams, only to find that these scenarios were disconnected from actual business operations and failed to translate into quantifiable returns. The root cause was that the metaverse at that time lacked a core link to connect with real-world business, remaining at the level of “observation” only.

The emergence of AI Agents has completely reversed this situation. They endow the metaverse with the ability to “take initiative”, shifting it from “passive display” to “active operation”. The core logic is that AI Agents can act as both the “connector” and “executor” between the physical and digital worlds. They can read sensor data from offline factories to build real-time synchronized digital twins in the metaverse. They can integrate online and offline customer data to generate accurate user profiles. What’s more, they can automate tedious and repetitive business processes, freeing up human resources.

This “efficiency-driven” value logic deeply integrates the metaverse with enterprises’ daily operations. Instead of debating “whether to adopt the metaverse”, enterprises are now figuring out “how to use AI Agents to empower existing businesses with the metaverse”. This shift marks the metaverse’s official entry into a new phase of commercial implementation.

Three Core Capabilities of AI Agents: Unlocking the Commercial Potential of the Metaverse

DBiM’s AI Agents can serve as the value engine of the metaverse thanks to their three unique core capabilities. These capabilities are not castles in the air, but are rooted in enterprises’ actual needs, built on the Large Action Model (LAM) and Vision-Language-Action (VLA) architecture.

1. Cross-Domain Data Integration: The “Super Connector” Breaking Information Silos

One of the pain points in enterprise operations is that data is scattered across different systems. Offline production data, online marketing data, and supply chain logistics data exist in isolation, making it difficult to achieve synergy. DBiM’s AI Agents act as a “super connector”, seamlessly integrating with various enterprise systems and converging scattered data onto a unified metaverse platform.

For example, an automobile manufacturer can use AI Agents to integrate factory production data, dealer sales data, and user after-sales data into a metaverse digital twin system. Managers only need to enter the virtual factory to view the real-time operating status of each production line, grasp the sales dynamics of each vehicle model, and even predict after-sales demand. This data integration capability enables enterprise decision-making to shift from “experience-based” to “data-driven”, significantly improving decision-making efficiency and accuracy.

2. Autonomous Process Automation: The “Digital Employee” Liberating Human Resources

Repetitive and standardized tasks are a “black hole” that consumes enterprise labor costs. Cross-border trade document verification, customer service responses, and inventory management checks are time-consuming and prone to human error. DBiM’s AI Agents are designed to solve these problems as dedicated “digital employees”.

They can work 24/7 without interruption, processing large volumes of standardized tasks. In cross-border trade, for instance, AI Agents can automatically identify key information on documents, cross-verify it with customs databases, and quickly flag abnormal data. This process reduces work that originally took days to just a few hours, cutting labor costs and minimizing risks caused by human error.

More importantly, AI Agents can be custom-trained according to enterprise needs. Whether it’s inventory management in the retail industry or equipment inspection in manufacturing, they can quickly adapt to become tailor-made automation solutions for enterprises.

3. Intelligent Collaborative Decision-Making: The “Smart Brain” Empowering Enterprise Innovation

Within DBiM’s ecosystem, the capability of a single AI Agent is limited, but the collaboration of multiple AI Agents can create a synergistic effect where the whole is greater than the sum of its parts. Through a unified communication protocol, these AI Agents form a “smart brain” that can collaborate across departments and fields, providing enterprises with comprehensive decision support.

Take the preparation for a new product launch as an example. The marketing AI Agent analyzes user preferences to formulate promotion strategies. The design AI Agent generates virtual promotional materials based on these strategies. The finance AI Agent monitors budget usage in real time. The logistics AI Agent coordinates the delivery time of offline materials to align with the metaverse launch schedule.

Each agent performs its own duties while cooperating with others, making the entire preparation process efficient and seamless. This intelligent collaboration capability not only optimizes existing business processes, but also fosters new business models. For example, enterprises can build virtual supply chain platforms in the metaverse through AI Agents, connecting upstream and downstream partners to achieve real-time supply-demand matching and create new commercial value.

The Future Is Here: AI Agents Leading the New Commercial Ecosystem of the Metaverse

As AI Agents become the core engine of the metaverse, a brand-new commercial ecosystem is accelerating its formation. In this ecosystem, the metaverse is no longer a “parallel world” independent of reality, but an “empowerment platform” deeply integrated with real-world business.

For large enterprises, the AI Agent-driven metaverse is a powerful tool for digital transformation, helping them reduce costs, improve efficiency and optimize decision-making. For small and medium-sized enterprises, low-threshold AI Agent tools allow them to enjoy the technological dividends of the metaverse without huge investments.

From “hype” to “practicality”, from “experience” to “efficiency”, the value transformation of the metaverse cannot be achieved without the driving force of AI Agents. In the future, with continuous technological iteration, AI Agents will unlock more commercial potential of the metaverse, leading enterprises into a new era of integrated virtual-physical growth.