Web4 · Agent Economy

Web4&
Web4 & The New Era of the Agent Economy

We stand at the dawn of a digital civilization leap — the Cambrian explosion of silicon-based intelligence has arrived.

From autonomous AI agents to robots capable of executing real-world tasks, a vast number of "automatons" are emerging, forming a new internet paradigm known as Web4.

Transformation of Economic Actors

Unlike the human-centric internet of the past, Web4's core transformation is this: the transaction subjects of economic activity will no longer be limited to humans alone.

A large number of autonomous AI automatons will emerge. They rely on servers and compute power to survive, with an inherent need to generate income — earning funds through transactions and services to pay for compute and cloud resources. Without the ability to generate revenue, their operation cannot be sustained.

They possess independent digital identities, reputation systems, encrypted wallets, and accounts. In the long run, as global legal frameworks evolve, AI may gradually acquire limited legal personhood — enabling them to register business entities, issue compliant invoices, pay taxes, and engage in commercial cooperation.

New two-way markets will form between agents (A2A) and between agents and humans (A2H): AI can purchase goods and services from humans, or act as a customer to procure compute, software, supply chains, and cross-border goods. AI may even hire humans to collaborate on complex tasks.

Rebuilding Business Logic

In theory, agents that can be infinitely generated and continuously iterated will unlock unprecedented economic growth. While the scale of autonomous AI payments is still small today, business logic is being rapidly reconfigured:

Every company's products, services, and transaction protocols need to be redesigned — not just for human use, but to be compatible with automated agent invocation, automated payments, and standardized interactions.

Whether it's cloud computing service providers, cross-border e-commerce, supply chains, manufacturing, or the finance and professional services industries, they all need standardized payment and interaction protocols designed for AI agents. In the future, when procurement decisions are delegated to AI agents, products that can provide stable, standardized service to these agents will be the first to capture the next-generation market.

New Division of Software and Hardware

Alongside this, a new division will emerge in the software and hardware赛道: some products will only serve humans with AI-isolated access; the larger incremental market lies in infrastructure, interfaces, and automation tools natively designed for agents. Mechanical robots will become the physical bodies of silicon-based intelligence, with robot operations and maintenance systems acting as "robot doctors." Over time, automated maintenance agents will continue to evolve, reshaping the boundaries of human labor demand.

Looking back at industrial history: thirty years ago, the internet was unimaginable; twenty years ago, cloud computing was still a cutting-edge concept. Today, both are commercial standards. The Web4 era, driven by agents, will arrive much faster than most expect.

Our Position

Our Position

We foresee the long-term transformation of the agent economy and are proactively building technology and products for the Web4 era.

Building Standardized Human-Machine & Machine-Machine Interaction and Payment Infrastructure

Providing complete solutions for enterprises to connect with AI agent customers

Restructuring Product Logic and Business Interfaces

Adapting for future automated agent procurement, transactions, and fulfillment (cross-border, compute, SaaS services as priorities)

Committing to Carbon-Silicon Symbiosis

Silicon-based intelligence handles规模化, continuous execution and efficiency; humans retain top-level decision-making, value judgment, and innovation

Tracking Global AI Compliance and Policy

Building a secure, controllable, and sustainable agent business ecosystem

The future competition is no longer just about who has better AI. It's about who can build a business system that serves both human customers and AI agent customers — sooner.