Recently, during the 2025 Digital Intelligence Technology Ecosystem Conference hosted by China Telecom, Dr. Ouyang Ye (CTO and SVP of AsiaInfo Technologies, IEEE Fellow) was invited to attend the AI+ Cloud Network Autonomous Ecological Cooperation Forum, where he delivered a keynote speech titled "The Evolutionary Path of AI Native". He innovatively integrated Karl Popper's "Three Worlds" theory with the new quality productive forces, systematically deconstructed the digital intelligence evolution from Cloud Native to AI Native, and elucidated the three core AI Native elements of new quality productive forces (including data semantization, business ontologization and application agentification) for the first time, providing dual guidance in both theory and practice for the industry's digital intelligence transformation.
Dr. Ouyang Ye Delivering a Speech
I. Cognitive Leap: The Digital Intelligence Future Under Karl Popper's "Three Worlds" Model
Leveraging Karl Popper's "Three Worlds" model, Dr. Ouyang Ye carried out an in-depth analysis of the profound transformations occurring in the Physical World, the Objective Knowledge World and the Subjective World during the transition from cloud native to AI native. In the envisioned future of AI Native, these three worlds will undergo subversive mapping and reconstruction:
The physical world will undergo an ontological reconstruction of business concepts through Ontological Twins;
The objective knowledge world will crystallize human experience into machine-understandable Ontological Knowledge;
The interaction in the subjective world will evolve into Agentic AI with human-machine collaboration.
II. Theoretical Reconstruction: Infusing Core Connotation into the New Quality Productive Forces through AI Native
In the AI-native era, the elements of productive forces are undergoing qualitative changes. Dr. Ouyang Ye analyzed the essence of AI Native from an economic dimension, and creatively proposed the elemental manifestations of AI Native under the new quality productive forces:
Evolution of the Labor Force: From a single "human" to a "human + multi-agent" (carbon-based labor force + silicon-based labor force). Agent is no longer just a tool, but has become a "digital employee" with autonomous decision-making capabilities.
Migration of the Objects of Labor: The space for value creation has migrated from the physical world to the digital world. Data and business have become the new objects of labor, which, after processing and shaping, ultimately create value .
Upgrading of the Means of Labor: From traditional IT infrastructure to AI-native software/hardware infrastructure .
Renewal of the Total Factor Productivity: AI engineering and organizational transformation have become key to driving productive forces to create greater value increments.
III. Evolution Path: Three Core AI Native Elements of New Quality Productive Forces
Dr. Ouyang Ye pointed out that the key to constructing AI-native software lies in the achievement of intelligent upgrading from data to application through three core elements including data semantization, business ontologization and application agentification.
Data Semantization: Leveraging RDF and OWL technologies to transform isolated data into machine-understandable and machine-inferable ontological knowledge, thereby establishing a cognitive framework for agents.
Business Ontologization: Building ontological twins that interconnect business rules, logic and objects to form machine-operable models, thereby supporting simulation, prediction and decision-making.
Application Agentification: Adopting the "Internal-External Dual-Drive" architecture proposed by Turing Award winner Joseph Sifakis—where external drive relies on situation awareness and long-term memory feedback, and internal drive relies on meta-goals generated by self-awareness—to empower agents with autonomous analysis, decision-making and operational capabilities, thereby effectively creating a silicon-based labor force.
IV. Verification in Practice: Technical Value Showcased through the Digital Employee Deployment
Practice is the essential path toward AI-native. AsiaInfo Technologies has empowered China Telecom with BSS "Nine-Intelligences-in-One" system to cumulatively develop over 50 enterprise-level digital employees across 9 categories, covering core services such as product management, precision marketing, information query and operation/maintenance guarantee.
The transition from Cloud Native to AI Native represents not only a technological iteration but also a reconstruction of the generative model. AsiaInfo Technologies, with "data semantization, business ontologization and application agentification" as its core, provides AI Native guidance that combines theoretical depth and practical value for the industry's high-quality development, fully advancing the transformation of new quality productive forces.
