turanВестник университета «Туран»Bulletin of "Turan" University1562-29592959-1236Университет «Туран»10.46914/1562-2959-2026-1-3-28-42turan-5667Research ArticleЭКОНОМИКА: ИСТОРИЯ, ТЕОРИЯ, ПРАКТИКАECONOMY: HISTORY, THEORY, PRACTICEПроблемы внедрения технологий искусственного интеллекта в агропромышленный комплекс Казахстана: цифровая трансформация и зарубежный опытProblems of introducing artificial intelligence technologies in the agro-industrial complex of Kazakhstan: digital transformation and foreign experiencehttps://orcid.org/0000-0001-6965-6006ЖакуповаБ. А.ZhakupovaB. A.

к.э.н., ст. преподаватель.

Актобе

с.е.s., senior lecturer.

Aktobe

bzhakupova@zhubanov.edu.kzhttps://orcid.org/0000-0001-9510-8695АхметоваГ. Т.AkhmetovaG. T.

к.э.н., доцент.

Атырау

с.е.s., associate professor.

Atyrau

esentemir@mail.ruhttps://orcid.org/0000-0001-6119-3860ОтешоваА. К.OteshovaA. K.

DBA., ст. преподаватель.

Актобе

DBA., senior lecturer.

Aktobe

alma_08l@mail.ruhttps://orcid.org/0000-0002-4238-6760ЖумагалиеваБ. З.ZhumagalievaB. Z.

к.э.н., ассоцированный профессор.

Астана

с.е.s., associate professor.

Astana

bakytgul2015@mail.ruАктюбинский региональный университет им. К. ЖубановаКазахстанAktobe Regional University named after K. ZhubanovKazakhstanНАО Атырауский университет им. Х. ДосмухамедоваКазахстанKh. Dosmukhamedov Atyrau State UniversityKazakhstanМеждународный университет АстанаКазахстанAstana International UniversityKazakhstan202602102026032842Copyright © Жакупова Б.А., Ахметова Г.Т., Отешова А.К., Жумагалиева Б.З., 20262026Жакупова Б.А., Ахметова Г.Т., Отешова А.К., Жумагалиева Б.З.Zhakupova B.A., Akhmetova G.T., Oteshova A.K., Zhumagalieva B.Z.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.turan-edu.kz/jour/article/view/5667

Цифровая трансформация аграрного сектора сегодня стала стратегической задачей обеспечения продовольственной безопасности. Несмотря на то что Казахстан располагает богатыми ресурсами – 222 млн га сельскохозяйственных земель, доля отрасли в ВВП не превышает 4,7–5,1%. Технологии искусственного интеллекта (ИИ) могут сыграть важную роль в устранении этого разрыва. Цель исследования – выявление закономерностей внедрения технологий искусственного интеллекта в АПК Казахстана, количественная оценка влияния инвестиций искусственного интеллекта на сельскохозяйственное производство и выработка конкретных практических рекомендаций для государственной политики. Научная значимость исследования: впервые в панельных данных по районам Казахстана был оценен коэффициент гибкости капитала искусственного интеллекта. Практическая значимость: результаты могут быть непосредственно использованы при разработке стратегии цифровизации аграрного сектора. Методология: в данных, определенных по 47 районам за 2021– 2025 гг., производственная функция Кобба-Дугласа оценена с помощью модели фиксированных эффектов (228 наблюдений, R² = 0,891). Результаты: коэффициент эластичности капитала искусственного интеллекта определен на уровне 0,312 (p < 0,001). Точное земледелие выросло с 45 до 261 тысячи гектаров, инвестиции в AgriTech увеличились в четыре раза. Недостаточная цифровая инфраструктура и нехватка специалистов – основные барьеры. Предлагаются практические направления для разработчиков аграрной политики Казахстана, компаний AgriTech и владельцев хозяйств: Национальная агроцифровая платформа с открытым API, субсидирование инфраструктуры сельской связи, грантовая программа для малых хозяйств.

Today, the digital transformation of the agricultural sector has become a strategic task for ensuring food security. Although Kazakhstan possesses rich resources – 222 million hectares of agricultural land, the share of the industry in GDP does not exceed 4.7–5.1%. Artificial intelligence (AI) technologies can play an important role in bridging this gap. The purpose of the study is to identify the patterns of implementation of artificial intelligence technologies in the agro – industrial complex of Kazakhstan, quantify the impact of artificial intelligence investments on agricultural production and formulate specific practical recommendations for public policy. Scientific significance of the study: for the first time in panel data on districts of Kazakhstan, the coefficient of flexibility of artificial intelligence capital was evaluated. Practical significance: the results can be used directly in developing a strategy for digitalization of the agricultural sector. Methodology: in data identified across 47 districts for 2021–2025, the Cobb-Douglas production function was estimated using a fixed effects model (228 observations, R² = 0.891). Results: the elasticity coefficient of artificial intelligence capital was determined at 0.312 (p < 0.001). Precision farming grew from 45 to 261 thousand hectares, AgriTech investments quadrupled. Insufficient digital infrastructure and shortage of specialists are the main barriers. Practical directions are offered for developers of agricultural policy in Kazakhstan, AgriTech companies and farm owners: a national agrodata platform with an open API, subsidising rural communication infrastructure, a grant programme for small farms.

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The authors declare that there are no conflicts of interest present.