With the prevalence of AI, AI literacy has become a critical capability for citizens in the new era. It necessitates that practitioners not only master AI technologies but also possess skills in critical assessment and effective application. This article explores the fundamental theoretical framework of AI literacy, including its definition, essence, and connotation, emphasizing the importance of a deep understanding of AI technology, critical evaluation, effective application, and ethical considerations. In the context of intelligent manufacturing, a content framework for AI literacy education is proposed, covering four aspects: AI cognition, technical practice, ethics and social responsibility, and interdisciplinary thinking. In mechanical automation education, reform strategies for integrating AI literacy are suggested, including course content integration, innovative teaching methods, enhancement of practical components, optimization of assessment systems, development of faculty teams, and multidisciplinary collaboration among multiple stakeholders. The aim is to cultivate future professionals in the field of intelligent manufacturing who possess a solid theoretical foundation, practical skills, innovative thinking, and ethical awareness.