Generative AI provides crucial technical support for cracking the realistic dilemmas such as the lack of professional resources, unbalanced distribution of high- resources, and difficulties in implementing personalized teaching in the field of early childhood education. This study takes the No.3 Kindergarten of Wuyuan County, Gansu Province as case, and uses multi-dimensional data analysis to explore the application path, practical effects and optimization strategies of generative AI in early childhood education. The study constructs a four-dimensional strategy system of “quality improvement - deep integration - ethical norms - personalized empowerment”: digital literacy of teachers is improved through “technical workshop” and mixed training; a linkage mechanism teaching and technology is established based on “intelligent teaching salon”; the “Ethical Norms for AI Education Application” is formulated and a diversified supervision mechanism is constructed; personalized learning support is realized based on the digital portrait of children’s development. The practical effect evaluation shows that children in the experimental class have achieved a significant improvement of 2440% on the dimensions of language expression, logical thinking, problem solving, and social interaction, 82% of parents feedback that children’s interest and initiative in learning been enhanced, 92% of parents are satisfied with the AI education practice, and the professional competence of teachers has also been comprehensively improved in terms of teaching design, integration, and teaching reflection. This study verifies the effectiveness and feasibility of generative AI empowering early childhood education in underdeveloped areas, and provides replicable practice paradigm for related.