The implementation of AI in education presents several challenges. One of the main obstacles is the lack of infrastructure and resources, particularly in underfunded schools, which makes it difficult to adopt and maintain AI-driven solutions. Data privacy and security concerns are another significant issue, as AI systems rely on vast amounts of personal data, raising risks regarding data breaches and misuse. Additionally, there is often resistance to change from educators and institutions due to fear of job displacement or the complexity of integrating new technologies into traditional teaching methods. Bias in AI algorithms can also be a problem, as AI systems might unintentionally reinforce existing inequalities in education by providing unequal learning opportunities. Finally, there is a need for training and upskilling teachers to effectively use AI tools, which requires time, investment, and a shift in pedagogical practices. Addressing these obstacles is crucial for AI to be successfully integrated into education systems.