Analysis and Research on the Effect of Artificial Intelligence Education Development and its Competitiveness Level on Local Economic and Social Development

Abstract

This study aims to analyze how the development of artificial intelligence (AI) education affects local economic and social development, with a focus on regional, demographic, and socioeconomic differences. Using a quantitative research approach, the study offers objective and measurable insights into the relationship between AI education programs and various economic and social indicators. Data were gathered through a comprehensive survey of 1,200 participants aged 18-99 from urban, suburban, and rural areas, ensuring balanced representation of gender, income levels, and employment status. Additional data were obtained from government reports, academic publications, and industry analyses. The data were analyzed using descriptive statistics, multiple regression, logistic regression, and Pearson correlation analyses. The results show that AI education significantly improves employment rates, average income, business growth, innovation, community engagement, quality of life, educational achievement, and digital literacy. Higher income levels are linked to a greater perceived effectiveness of AI education programs. Moreover, regional and demographic factors affect the adoption levels of AI education. The development of AI education is essential for promoting local economic and social progress. These findings are valuable for policymakers and educators who want to use AI education to support sustainable development and reduce regional inequalities.