Xiao Feng at the Hong Kong Web3 Carnival suggested that "in the future, all business entities will turn into Token factories," and I think this assertion is worth serious discussion.
The key here isn't just about "issuing tokens," but rather how business entities can transform their own data, capabilities, assets, or services into digital interfaces that can be globally accessed, real-time valued, and automatically settled.
If AI Agents really become the new economic entities in the future, what they need isn't traditional financial systems with accounts, contracts, and manual reviews, but rather programmable currency, verifiable data, privacy-preserving computation, and permissionless calling mechanisms.
The example of medical data is quite typical: the data from hospitals has enormous value but is highly sensitive. Only when tokenization, privacy computation, and blockchain payments come together can data be called, computed, and priced without "exposing privacy."
What is genuinely being changed here may not be the business model of a particular industry, but rather the organization of "trust": shifting from reliance on institutional endorsements, offline negotiations, and contractual constraints to reliance on cryptography, smart contracts, and verifiable computation.
Of course, questions also arise: who defines the ownership of data assets? Will Token factories further amplify the data advantages of platform-based entities? Can the performance of privacy computation, compliance boundaries, and accountability sustain real commercial scenarios?
I tend to interpret this discussion as a directional judgment: the AI Agent economy will not only bring about new applications, but will also compel the emergence of new asset forms, payment systems, and financial infrastructures.
The concept of a "Token factory" is worth paying attention to, but whether it ultimately materializes depends not on the concept itself, but on three things: usable privacy computation, sustainable economic incentives, and a responsibility framework that is regulated and socially accepted.
$BTC
$ETH
The key here isn't just about "issuing tokens," but rather how business entities can transform their own data, capabilities, assets, or services into digital interfaces that can be globally accessed, real-time valued, and automatically settled.
If AI Agents really become the new economic entities in the future, what they need isn't traditional financial systems with accounts, contracts, and manual reviews, but rather programmable currency, verifiable data, privacy-preserving computation, and permissionless calling mechanisms.
The example of medical data is quite typical: the data from hospitals has enormous value but is highly sensitive. Only when tokenization, privacy computation, and blockchain payments come together can data be called, computed, and priced without "exposing privacy."
What is genuinely being changed here may not be the business model of a particular industry, but rather the organization of "trust": shifting from reliance on institutional endorsements, offline negotiations, and contractual constraints to reliance on cryptography, smart contracts, and verifiable computation.
Of course, questions also arise: who defines the ownership of data assets? Will Token factories further amplify the data advantages of platform-based entities? Can the performance of privacy computation, compliance boundaries, and accountability sustain real commercial scenarios?
I tend to interpret this discussion as a directional judgment: the AI Agent economy will not only bring about new applications, but will also compel the emergence of new asset forms, payment systems, and financial infrastructures.
The concept of a "Token factory" is worth paying attention to, but whether it ultimately materializes depends not on the concept itself, but on three things: usable privacy computation, sustainable economic incentives, and a responsibility framework that is regulated and socially accepted.
$BTC
$ETH