AI-DRIVEN DIGITAL TRANSFORMATION OF PUBLIC ADMINISTRATION: INTERNATIONAL EXPERIENCE AND INSTITUTIONAL PERSPECTIVES OF UZBEKISTAN

The article explores the transformation of public administration under the influence of artificial intelligence and its technologies. The purpose of the study is to identify effective international models for AI implementation and determine the mechanisms for their adaptation within developing systems. The research methodology is based on a comparative analysis of the experiences of Estonia and Kazakhstan, as well as a structural-functional approach. As a result, the authors identified and classified key institutional barriers for Uzbekistan: interdepartmental data fragmentation, the rigidity of administrative law, and a shortage of specialized personnel. The scientific novelty of the work lies in the substantiation of a hybrid model of public administration. It combines centralized strategic leadership with a distributed architecture for information storage and exchange. The authors propose a specific mechanism for adapting this model at the architectural, organizational, and functional levels to increase the efficiency of public services.