This systematic review explores the advancements and challenges associated with integrating artificial intelligence (AI) to enhance technical literacy. Technical literacy, crucial in today's digital age, is essential for understanding and utilizing technology effectively. AI has the potential to improve technical literacy by providing personalized learning experiences, hands-on learning opportunities, and innovative tools. However, integrating AI in education also presents challenges such as ensuring equitable access, addressing ethical concerns, and overcoming technical barriers. The review examines various studies and literature, focusing on key themes like personalized learning, hands-on learning, and innovative tools. It highlights the potential of AI to transform technical education by catering to individual needs and preferences. AI-driven tools, such as simulations, virtual laboratories, and intelligent tutoring systems, have been shown to enhance student engagement and understanding of technical concepts. Despite these benefits, the review identifies challenges including the need for teacher training, concerns about data privacy, and the risk of reinforcing existing inequalities. Addressing these challenges requires careful planning, collaboration between educators and technology developers, and a commitment to ensuring equitable access to AI-driven educational resources. Overall, the review provides insights into the current state of AI integration for technical literacy, emphasizing the opportunities and challenges associated with this approach. By addressing these challenges and leveraging the potential of AI, educators can enhance technical literacy and prepare students for success in a technology-driven world.This systematic review explores the advancements and challenges associated with integrating artificial intelligence (AI) to enhance technical literacy. Technical literacy, crucial in today's digital age, is essential for understanding and utilizing technology effectively. AI has the potential to improve technical literacy by providing personalized learning experiences, hands-on learning opportunities, and innovative tools. However, integrating AI in education also presents challenges such as ensuring equitable access, addressing ethical concerns, and overcoming technical barriers. The review examines various studies and literature, focusing on key themes like personalized learning, hands-on learning, and innovative tools. It highlights the potential of AI to transform technical education by catering to individual needs and preferences. AI-driven tools, such as simulations, virtual laboratories, and intelligent tutoring systems, have been shown to enhance student engagement and understanding of technical concepts. Despite these benefits, the review identifies challenges including the need for teacher training, concerns about data privacy, and the risk of reinforcing existing inequalities. Addressing these challenges requires careful planning, collaboration between educators and technology developers, and a commitment to ensuring equitable access to AI-driven educational resources. Overall, the review provides insights into the current state of AI integration for technical literacy, emphasizing the opportunities and challenges associated with this approach. By addressing these challenges and leveraging the potential of AI, educators can enhance technical literacy and prepare students for success in a technology-driven world.