12. AI & DATA ECONOMY MECHANISM

In the new era, data and artificial intelligence are no longer just tools to support decision-making—they become productive resources, competitive foundations, and constituents of corporate value and personal competence. Bizverse develops a data-based economy and AI Economy, where value is not born from speculation, but from knowledge contribution, responsible data mining, development of sovereign AI models, and real-world interactions.

The goal of Bizverse is not to create a passive data collection social network, but to build a controlled, transparent, decentralized, and sustainable data and knowledge economy where every contribution has economic value and every information asset is legally recognized and exploited.

a) Data is an asset—modeling, identifying, accumulating, and exploiting

In Bizverse, data is treated as a digital asset with ownership, history, and the ability to accumulate and exploit value. Unlike Web2, where the platform profits primarily from user data, Bizverse aims to return ownership and data mining rights to its creators.

The data layers are structured according to the system:

• Personal data: profiles of competencies, behaviors, achievements, learning data;

• Enterprise data: processes, customers, operations, supply chain;

• Urban & spatial data: 3D modeling, sensors, smart city operation;

• Social data: community behavior, knowledge map, needs–resources.

Each block of data is:

• identification;

• attach ownership;

• used to train the AI by the owner himself;

• It is possible to staking, rent, share access to the extent allowed.

Every valuable data is tied to a reward mechanism and transparent usage rights.

b) AI as the new workforce—and real citizens

AI in Bizverse is not only an application tool, but an economic agent (AI Agent), accompanying users and businesses as a capable operator.

Types of AI Asset:

• Personal AI (Personal AI Twin/AI Mentor);

• Business AI / Automation Twin;

• Urban AI (Civic AI for simulation operations & public services);

• Domain Expert AI;

• Generative AI (Content/Code/Design Agents).

AI is a workforce, not just software. And as a labor force, it:

• learning from employer data;

• generate productivity;

• participate in digital activities;

• income sharing according to the AI-staking model.

This is the new economic model: Human + AI Twin Economy.

c) Data & AI Economy Operation Mechanism

Bizverse designs a closed and transparent ecosystem:

• Users generate data and knowledge

• Data Identified and Protected

• AI is trained on this data

• AI creates real value (jobs, products, services)

• Data and AI owners get value back

Three main value streams operate:

• Data-to-Earn — donated data that receives value

• AI-to-Earn — AI agents that operate and generate revenue

• Knowledge-to-Earn — paid AI knowledge, courses, and tutorials

Reward mechanisms:

• data staking & revenue share;

• incentives for businesses to digitize processes to Twin & AI;

• rewards for contributions to digital urban infrastructure (map, 3D twin, VR);

• license-based rewards for educational and AI content creators.

This helps Bizverse avoid "emotional tokenization", focusing on tokenizing productivity and social contribution.

d) Data Sovereignty, LocalAI & Digital Trust Assurance

While the world is concerned about centralized AI and data risk in the hands of BigTech, Bizverse pursues the model:

• Sovereign AI

• On-prem storage and processing (LocalAI / On-prem Edge AI)

• Blockchain for data audit & access logs

• Compliance with Vietnam's strategy (Resolution 1131 & sandbox number)

This approach helps:

• Protection of personal and business data;

• Creating a model suitable for government, business and urban areas;

• Open the direction of international deployment based on data trust.

Bizverse does not build a "virtual" economy. Bizverse builds a data-knowledge-AI economy that links human productivity and real assets, where every individual and organization can own their own AI, with their own data, and create their own value.

We aim for a society where:

• who creates value, that person owns value;

• data is a right, not an uncontrolled commodity;

• AI goes hand in hand and enhances human capacity;

• technological achievements return to serve the community.