This systematic review explores the advancements and challenges of integrating artificial intelligence (AI) in promoting technical literacy. Technical literacy, the ability to understand and use technology, is increasingly important in today's digital world. AI has the potential to enhance technical literacy by offering personalized learning, hands-on experiences, and innovative tools. However, challenges such as equitable access, ethical concerns, and technical barriers remain. AI integration in education has evolved significantly, with early systems focusing on basic skills and simulations. More recent developments include intelligent tutoring systems, virtual labs, and AI-driven chatbots that provide personalized learning and support. These tools enhance student engagement and understanding of technical concepts. Despite these benefits, challenges such as teacher training, data privacy, and inequality in access persist. The review highlights key advancements in AI integration for technical literacy, including personalized learning, hands-on learning through simulations, and innovative AI tools. It also identifies challenges such as ensuring equitable access, addressing ethical issues, and overcoming technical limitations. Strategies to address these challenges include promoting equitable access, ensuring ethical standards in AI development, and investing in research and training. The methodology involved a comprehensive search of academic databases to identify relevant studies on AI integration in technical literacy. The review analyzed the findings to identify key themes and trends, emphasizing the potential of AI to transform education. However, the review also acknowledges limitations, including the scope of included studies and the generalizability of findings. The findings indicate that AI integration has the potential to enhance technical literacy through personalized learning and hands-on experiences. However, challenges such as access, ethics, and technical issues must be addressed to maximize AI's effectiveness. The review concludes that while AI offers significant opportunities, its successful integration requires careful planning, collaboration, and a commitment to equitable access. Educators, policymakers, and developers must work together to ensure AI benefits all students and prepares them for a technology-driven world.This systematic review explores the advancements and challenges of integrating artificial intelligence (AI) in promoting technical literacy. Technical literacy, the ability to understand and use technology, is increasingly important in today's digital world. AI has the potential to enhance technical literacy by offering personalized learning, hands-on experiences, and innovative tools. However, challenges such as equitable access, ethical concerns, and technical barriers remain. AI integration in education has evolved significantly, with early systems focusing on basic skills and simulations. More recent developments include intelligent tutoring systems, virtual labs, and AI-driven chatbots that provide personalized learning and support. These tools enhance student engagement and understanding of technical concepts. Despite these benefits, challenges such as teacher training, data privacy, and inequality in access persist. The review highlights key advancements in AI integration for technical literacy, including personalized learning, hands-on learning through simulations, and innovative AI tools. It also identifies challenges such as ensuring equitable access, addressing ethical issues, and overcoming technical limitations. Strategies to address these challenges include promoting equitable access, ensuring ethical standards in AI development, and investing in research and training. The methodology involved a comprehensive search of academic databases to identify relevant studies on AI integration in technical literacy. The review analyzed the findings to identify key themes and trends, emphasizing the potential of AI to transform education. However, the review also acknowledges limitations, including the scope of included studies and the generalizability of findings. The findings indicate that AI integration has the potential to enhance technical literacy through personalized learning and hands-on experiences. However, challenges such as access, ethics, and technical issues must be addressed to maximize AI's effectiveness. The review concludes that while AI offers significant opportunities, its successful integration requires careful planning, collaboration, and a commitment to equitable access. Educators, policymakers, and developers must work together to ensure AI benefits all students and prepares them for a technology-driven world.