Artificial intelligence (AI) has transformed food production processes by enhancing efficiency, precision, and quality, particularly within the framework of Good Manufacturing Practices (GMP). This study examines the role of AI in reducing human error, maintaining consistent product quality, and ensuring compliance with stringent hygiene standards. Key applications include predictive maintenance of production equipment, real-time data analysis for decision-making, and automation of quality control through visual recognition technologies. Despite these advancements, challenges such as high initial investment costs, limited technical knowledge, and data security concerns persist. This research identifies current barriers, explores potential solutions, and outlines a conceptual framework for AI integration with GMP to foster sustainable, efficient, and hygienic food production systems.