Abstract: The article provides a comprehensive analysis of the role of artificial intelligence (AI) technologies in strengthening international food security under intensifying climate risks, degradation of natural resources, and the growing necessity for the ecologization of agricultural production. The study reveals the potential of AI as a key instrument for enhancing the resilience of food systems by improving yield forecasting, automating the management of water and land resources, optimizing logistics chains, monitoring soil conditions, and modeling climate- and agro-related risks in real time. The article identifies the main directions of AI application within sustainable agriculture, including satellite monitoring, sensor networks, machine-learning models, big-data analytics, and digital decision-support platforms. Particular attention is paid to how these technologies transform production processes, reduce environmental pressures, and contribute to more efficient utilization of natural resources.

The paper analyzes international practices of digital transformation in the food-security domain, focusing on initiatives by FAO, the World Bank, the EU’s Farm to Fork Strategy, NASA Harvest, IBM PAIRS, and Google Earth Engine. It is demonstrated that AI integration reduces anthropogenic impact, increases resource efficiency, minimizes food losses, and enhances transparency across global supply chains through improved demand forecasting, risk detection, and optimized transport routes. For developing countries, including Ukraine, the adoption of AIdriven solutions can significantly support the modernization of the agricultural sector, accelerate adaptation to climate change, and reinforce national food-security strategies. The article provides practical recommendations for incorporating AI into national agricultural policies, considering technological, institutional, and environmental factors.