Artificial Intelligence (AI) is transforming teacher education by enhancing personalized learning, automating administrative tasks, and providing data-driven insights for curriculum development. AI-driven tools such as intelligent tutoring systems, virtual simulations, and AI-powered assessment methods offer new opportunities for improving teacher training. Additionally, AI-powered mentoring and chatbots facilitate continuous professional development. However, the integration of AI in teacher education comes with challenges, including ethical concerns, data privacy issues, technological resistance, and infrastructure limitations. Addressing these challenges requires ethical AI development, blended learning approaches, robust data security policies, and strategic investments in AI infrastructure. By balancing AI-driven innovations with human-centric teaching practices, the future of AI in teacher education can lead to a more efficient, inclusive, and adaptive learning environment.