This study investigates the influence of self efficacy on prospective teachers willingness and ability to adopt AI integrated teaching practices. With the increasing incorporation of artificial intelligence in educational settings, understanding the psychological factors that affect technology adoption is critical. Self efficacy, defined as an individual s belief in their capacity to execute behaviors necessary to produce specific performance attainments, is hypothesized to play a pivotal role in shaping prospective teachers attitudes and intentions toward AI enabled instructional methods. The research employs a mixed methods approach to assess the relationship between self efficacy levels and the adoption of AI tools in teaching simulations and lesson planning. Findings aim to inform teacher education programs by highlighting the importance of enhancing self efficacy to facilitate effective integration of AI technologies in future classrooms. Self efficacy, prospective teachers, AI integrated teaching, technology adoption, teacher education, instructional technology 30-35 National Level Conference on Transformative Higher Education-Skills, Equity, Innovation (THE-SEI 2026) Special Issue Mrs. Savita Sandip Upasani | Dr. Jayesh R. Jadhav