As global populations age, healthcare systems face escalating challenges associated with chronic diseases, functional decline, and rising medical costs. Preventive healthcare strategies are increasingly recognized as essential for promoting healthy aging and reducing the burden of age-related diseases. The integration of artificial intelligence (AI) and wearable devices presents a promising solution for enhancing preventive care among older adults. Wearable technologies—including smartwatches, fitness trackers, and biosensors—enable continuous monitoring of vital signs such as heart rate, physical activity, sleep patterns, and blood pressure. When combined with AI-driven analytics, these devices can provide real-time health assessments, predict risks, and offer personalized recommendations, empowering older individuals to manage their health proactively. AI methodologies, such as machine learning and predictive modeling, can process vast amounts of longitudinal health data collected by wearables to detect early signs of health deterioration, including cardiovascular anomalies, cognitive decline, and fall risks. This proactive approach enables timely medical interventions, potentially reducing hospitalizations, emergency events, and healthcare expenditures. Furthermore, integrating AI with wearables enhances patient engagement by providing actionable health insights, promoting adherence to wellness programs, and encouraging self-management behaviors. Despite these promising benefits, several challenges remain, including data privacy concerns, device accuracy, digital literacy barriers among older populations, and interoperability with healthcare systems. Addressing these issues requires robust regulatory frameworks, inclusive device design, and collaboration between healthcare providers, technology developers, and policymakers. This explores the transformative potential of AI and wearable technologies in preventive healthcare for aging populations, examining current applications, benefits, challenges, and future directions. The analysis underscores the strategic imperative for investing in AI-driven wearable solutions to support healthy aging, optimize care delivery, and enhance healthcare system sustainability in the face of global demographic shifts.