STEM (Science, Technology, Engineering, and Mathematics) and its expanded counterpart, STEAM (which incorporates Arts), have been pivotal in shaping modern education by fostering creativity, critical thinking, and problem-solving skills among students. Despite widespread adoption and demonstrated benefits, STEM and STEAM education face significant challenges. Interdisciplinary integration, one of the core principles of these models, is complicated to achieve due to a lack of student-centered approaches, insufficient instructional resources, and limited interdisciplinary expertise among educators. Furthermore, the need for innovative teaching methods, time-intensive preparation for integrated activities, and the complexities of assessing creativity and problem-solving in these contexts add to the burden on educators. In light of these challenges, integrating artificial intelligence (AI) in education presents both an opportunity and a necessity. With its ability to automate routine tasks, personalize learning experiences, and provide data-driven insights, AI holds immense promise for addressing many of the persistent issues in STEM and STEAM education. AI tools offer capabilities ranging from content creation and automated grading to personalized feedback and adaptive learning environments. However, their implementation also raises critical questions about ethical use, digital equity, and the role of teachers in an AI-augmented classroom. By examining AI’s current applications, potential benefits, and inherent risks in STEM and STEAM education, this chapter provides a comprehensive understanding of how AI can be responsibly leveraged to transform these educational paradigms and address their long-standing challenges.