This study explores the pedagogical potential of integrating ChatGPT as an AI-driven support for second- and third-year Electronics modules within an Engineering faculty at a university of technology in South Africa. As generative AI becomes increasingly sophisticated, there is growing interest in their application to technical education. Engineering students have since adopted this technology as part of their learning. The paper investigates how ChatGPT and other generative AI technologies can accelerate students learning by enhancing their understanding of complex electronics concepts, facilitating problem-solving in circuit design, and fostering computational thinking in electronics, a foundational area in engineering. The paper further discusses how ChatGPT can facilitate the unlocking of threshold concepts in Engineering modules. By using quantitative and qualitative approach, the study assesses ChatGPT’s effectiveness in helping students tackle technical challenges specific to the electronics module, such as amplifier design, circuit analysis, and troubleshooting electronic circuits. Situated within constructivist learning theories, this study examines both the opportunities and challenges of adopting and integrating ChatGPT into an educational context where resource limitations and diverse skill levels pose unique challenges. The mixed methods approach further focuses on ChatGPT’s potential to offer immediate, individualized assistance, interactive explanations of electronics theories, and feedback on complex problems, thereby enhancing comprehension and engagement in the Electronics module. Challenges that arise while using these AI tools including students’ over-reliance on AI, potential ethical concerns, and the need for foundational AI literacy to ensure responsible tool use are also addressed. Responses from 100 Students offering Electronics across two semesters (Electronics II and III) were captured. The responses included capturing students’ experiences and voices on GenAI use. The findings indicate that while ChatGPT can significantly enhance learning experiences in electronics module by offering real-time support and tailored learning, its successful implementation requires an approach that balances AI assistance with hands-on learning and critical thinking. The study provides insights for educators on integrating generative AI tools in a way that complements traditional teaching and learning methods, especially for unlocking threshold and complex engineering concepts.