In this study, Borich demand analysis, The Focus for Focus model analysis, and IPA analysis were performed using response data of 304 elementary school teachers. The implications obtained through research analysis are as follows in order to analyze the educational needs of elementary school teachers’ teaching competencies for artificial intelligence education,First, the teaching competencies presented in this study were found to be necessary for teachers for elementary artificial intelligence education, and various support and efforts of education-related institutions are needed so that elementary school teachers can develop these competencies. Second, opportunities for practice using the artificial intelligence experience platform and teaching aids should be expanded, and We need support to acquire content knowledge such as ‘ethical issues caused by artificial intelligence technology’, ‘social responsibility and fairness’, ‘development of artificial intelligence technology and social change’, ‘social problem solving of artificial intelligence’, ‘the concept of data bias’, ‘the concept and characteristics of artificial intelligence’, And ‘unplugged use’ and ‘EPL utilization’ corresponding to practical knowledges are needed. Third, it is necessary to provide elementary school teachers with appropriate information on the teaching tools and practice environment to prepare artificial intelligence practice classes, and to support educational contents and acquire related competencies. Fourth, elementary school teachers should learn the content and practical knowledge that constitutes artificial intelligence teaching competencies, and expand opportunities for learning and training to acquire various skills for class preparation and practice. Fifth, sufficient guidance and support are needed for elementary school teachers to conduct classes related to artificial intelligence education, receive training, and go to graduate school to develop teaching competencies for artificial intelligence education.