Artificial intelligence (AI) is emerging as a transformative tool in menopausal healthcare, offering solutions that move beyond traditional, generalized approaches. Menopause, a universal yet highly individualized transition, is often associated with vasomotor symptoms, mood disturbances, cognitive changes, and increased risks of osteoporosis and cardiovascular disease. Conventional management strategies rely on subjective assessment and broad treatment protocols, leaving gaps in personalized care. AI technologies—including machine learning, natural language processing, and digital therapeutics—are bridging these gaps by enabling individualized symptom tracking, predicting menopausal onset, stratifying long-term health risks, and optimizing hormone therapy. AI-powered wearables, apps, and chatbots are expanding accessibility, providing real-time support, and empowering women with tailored guidance. These innovations hold potential to improve quality of life while enhancing clinical decision-making and research. However, significant challenges remain, including algorithmic bias, data privacy concerns, limited validation, and ethical considerations. Realizing the promise of AI in menopause care will require robust clinical trials, regulatory oversight, and inclusive datasets. This article reviews current applications, highlights opportunities, and underscores the need for responsible integration of AI into routine menopause management.