Аннотация
Artificial intelligence (AI) technologies demonstrate a significant impact on the country’s economic growth. In conducting the research, special attention is paid to the agrarian sector. The purpose is a comparative analysis of the impact of digitalization and computer intelligence on labor productivity in agriculture. The empirical base consists of official statistical data of the Republic of Kazakhstan and selected countries for 2018–2024. Methods — analysis and synthesis, abstractlogical, and economic-statistical methods were applied to study the object under consideration, formulate hypotheses and logical conclusions, process and interpret quantitative data, and identify patterns, trends, and interrelationships in economic processes. Results — a model was developed that includes key economic indicators of agro-industrial production and financial sustainability, reflecting a quantitative assessment of the effectiveness of innovative solutions, such as automation and data analytics of crop yields, production losses, output costs, and labor intensity. It is shown that in developed countries AI contributes to increased labor productivity and the redistribution of employment toward high-tech sectors of the national economy, whereas in Kazakhstan the practical impact of intelligent systems on the agro-industrial complex remains limited due to insufficient digital infrastructure and a shortage of qualified personnel. Conclusions — the obtained data indicate significant potential for improving work quality and profitability in the agrarian sector of the republic, provided that comprehensive mechanization and digital renewal are implemented, investments in AI are attracted, and effective state support for agriculture is ensured.