GITE Theory: Reconstructing Information Technology in the Era of Generative Artificial Intelligence

The rapid development of Generative Artificial Intelligence (GAI) is driving the transformation of information technology from the "data processing era" to the "intelligent generation era." Traditional information technology theory is primarily based on data storage, information transmission, and computational processing, while the emergence of generative AI endows information systems with the capabilities of content generation, knowledge creation, and intelligent decision-making. Existing research mainly focuses on the application scenarios and technical implementation of generative AI, lacking a unified theoretical explanation for how it systematically restructures the information technology system. Therefore, this paper proposes the Generative Intelligence-Technology Evolution (GITE) model. This model posits that generative AI achieves the continuous evolution of the information technology system through a five-layer structure: "data resource layer—knowledge generation layer—intelligent collaboration layer—value creation layer—ecological evolution layer." This paper further constructs the GITE operating mechanism and theoretical formula, and explores its application value in education, healthcare, industry, commerce, and government governance. Research shows that generative AI is evolving from an auxiliary tool into a core driving force of the information technology ecosystem, providing a new theoretical foundation for the future development of the digital society.