This research is motivated by the rapid development of artificial intelligence (AI) technology, which is beginning to be integrated into the learning process, particularly in economics. The use of AI is expected to improve student motivation and learning outcomes through more interactive, adaptive, and efficient presentation of material. This study aims to examine the application of AI in economics learning, analyze its impact on student motivation and learning outcomes, and identify obstacles to its implementation. This study used a qualitative approach with a descriptive approach. Data were obtained through interviews, observations, and documentation, involving teachers and students at SMAN 8 Jambi City as data sources. Data were then analyzed using NVivo software through coding and theme development. The results show that the integration of AI in economics learning has a positive impact on student motivation, as indicated by increased activeness, enthusiasm, and independence in learning. Furthermore, the use of AI also contributes to improved student learning outcomes through easier understanding of the material and access to a wider range of learning resources. However, several obstacles remain, such as limited internet access and the need for teacher supervision to prevent dependency. Thus, the integration of artificial intelligence into economics learning can significantly improve student motivation and learning outcomes when used appropriately and in a targeted manner.
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