This study explores the transformative potential of artificial intelligence (AI) in education, focusing on its integration into teaching practices in Qatar. Surveys and interviews with educators revealed that AI tools significantly reduce teacher workloads, enhance lesson quality, and increase student engagement. Teachers reported spending less time on administrative tasks and more on creative and critical instructional activities. However, challenges such as the need for comprehensive training and concerns about over-reliance on AI were highlighted. These findings align with global research, which underscores AI's capacity to streamline lesson planning and improve educational outcomes while emphasizing the importance of teacher-AI collaboration. In comparing results to existing literature, this study identifies critical gaps, including the need for more inclusive research across diverse educational contexts and long-term studies on AI's sustained impact. Limitations such as resource inequities and the digital divide further complicate implementation, particularly in regions with varied technological infrastructure. Within Qatar's context, the findings hold particular significance as the nation prioritizes educational innovation to align with its Vision 2030 goals, emphasizing sustainability, knowledge economy development, and advanced learning environments. The study concludes with recommendations for comprehensive training programs, collaborative AI tool development with educator input, and ethical frameworks to balance technology integration and human interaction. It also calls for longitudinal studies to address existing gaps and evaluate the scalability of AI interventions in education. These findings contribute to the growing discourse on AI's role in modernizing education and provide actionable insights for policymakers, educators, and researchers in Qatar and beyond. By addressing challenges and leveraging AI's strengths, Qatar can lead the way in fostering a technologically advanced and inclusive education system.