<![CDATA[The integration of Artificial Intelligence (AI) into 21st-century learning strategies has become an urgent necessity in response to the demand for adaptive, personalized, and data-driven education. This study aims to analyze the potential, challenges, and implementation strategies of AI in learning. The research employed a Research and Development approach with descriptive qualitative and simple quantitative methods. Data were collected through interviews, classroom observations, questionnaires, and expert validation in several secondary schools. The findings reveal that AI enhances personalized learning, strengthens big data analytics for decision-making, and promotes innovation in interactive media and learning content. Nevertheless, ethical issues, data privacy concerns, algorithmic bias, and teachers' limited digital literacy remain obstacles to implementation. Therefore, teacher training, infrastructure support, and human-centered educational policies are necessary to ensure sustainable AI integration. In conclusion, AI holds a strategic role in transforming 21st-century education, yet its success largely depends on human resource readiness and a supportive educational ecosystem.]]>
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