The integration of artificial intelligence (AI) into probiotics and prebiotics research is revolutionizing the field by enhancing efficacy, personalizing interventions, and overcoming resistance challenges. This review paper provides a comprehensive overview of how AI applications are transforming our understanding and utilization of probiotics and prebiotics. AI-driven data analysis and pattern recognition enable the identification of optimal probiotic strains and prebiotic formulations by analyzing complex microbiome data and predicting their effectiveness. In terms of resistance, AI facilitates the prediction and management of resistance patterns, helping to develop strategies that maintain the efficacy of these interventions. This review highlights notable research advancements, including the role of AI in strain selection, formulation optimization, and personalized nutrition. Emerging trends, such as the development of AI models, promise further advancements in this field. Overall, AI holds significant potential to enhance the precision and effectiveness of probiotics and prebiotics, leading to more personalized and effective health interventions.