Machine learning is tackling food insecurity in Malawi, one of Africa’s most agriculture-dependent nations. A 2025 study by Andrew Tomes and others explores how AI models predict food sufficiency using local data. By analyzing weather, crop yields, and market trends, these tools help farmers plan better. In districts like Thyolo, early warnings could prevent hunger crises. However, limited data access and tech infrastructure slow progress. With Malawi’s 2063 Vision aiming for self-reliance, investing in AI could transform agriculture, ensuring food security for millions.