Abstract
This study investigates the transformative potential of artificial intelligence (AI) in advancing Kazakhstan's agricultural industry, emphasizing its role in addressing persistent challenges and fostering economic opportunities. The research identifies critical factors influencing the adoption of AI technologies, including digital infrastructure readiness, technological awarenessand skills, access to financial resources, availability and quality of agricultural data, the legal and regulatory framework, integration with existing agricultural systems, public-private sector collaboration, and perception and cultural acceptance. Utilizing a mixed-methods approach, the study combines quantitative and qualitative data derived from surveys and expert interviews. A robust sample of 140 respondents was selected through multi-stage stratified sampling to ensure comprehensive representation. Additionally, expert assessments were employed to evaluate the weight and contextual relevance of each identified factor in Kazakhstan. The findings provide insights into two core hypotheses: first, the impact of perception and cultural acceptance on AI adoption, and second, whether access to financial resources constitutes the primary barrier to implementation. Results highlight both opportunities and obstacles, offering actionable recommendations for policymakers, agricultural enterprises, and technology providers. The study underscores the importance of fostering technological skills, enhancing data ecosystems, and promoting cross-sectoral collaboration to harness AI's potential in achieving sustainable agricultural growth and economic resilience in Kazakhstan.
01 Introduction
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02 References
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