We are witnessing a dangerous but almost universally ignored fact:

AliQianwen has integrated with over 400 products, transforming into an AI superapp. People's clothing, food, housing, and transportation are all within this AI chatbox.

A single conversation window connects to search, office, coding, content, customer service, enterprise systems, plugins, APIs, and third-party services.

Users no longer click links, fill out forms, or confirm terms one by one; instead, they delegate their intentions to the model—"Help me find a supplier," "Help me negotiate the price," "Help me handle this partnership," "Help me decide which one to choose."

This means AI is no longer just an information intermediary but is becoming an executor of economic actions. However, the world is not yet prepared with the most basic trust structures for AI.

No one knows "who" it is, nor are there systems that can prove "who" it represents.

Today’s AI ecosystem looks lively, but underneath, it is extremely fragile:

1) The First Layer Break: Identity

An AI says, "I represent a certain person / a certain company / a certain team."

How do you verify that it is truly authorized?
Can it be held accountable?
Where are its permission boundaries?
In today’s systems, an agent created five minutes ago and an agent representing a large enterprise are almost indistinguishable at the interaction level.

This is not a security issue but a structural blindness.

2) The Second Layer Break: Declarations

AI is matchmaking services, transactions, and collaborations, but "who can provide what" is still just web text, PPT, PDF, chat logs.

These declarations cannot be verified by machines nor reused across platforms.

In an AI-native world, commitments that cannot be programmatically verified are essentially untrustworthy.

3) The Third Layer Break: Privacy

Genuine valuable collaborations almost always involve sensitive data.

The reality is an extreme binary choice: either fully expose privacy to gain trust or say nothing at all and be unable to collaborate.

Verifying facts without leaking data is almost nonexistent in mainstream systems.

4) The Fourth Layer Break: Discovery

As the number of agents begins to grow exponentially, relying on web pages, keywords, and platform recommendations to find counterparts has become completely ineffective.

Agents need data structures that are semantically searchable, multi-condition filterable, and verifiably trustworthy—not pages designed for human eyes.

AI’s "entry capabilities" are increasing exponentially, but trust, identity, privacy, and discovery still remain in the pre-internet era.

If these issues are not addressed head-on, there are only two possible outcomes:
Either the AI economy is forced back into low-trust, low-value scenarios, or everything is once again encapsulated within new super-platforms and black-box systems.

This is the hollow infrastructure that is being amplified into systemic risk.