The purpose of this study is to construct competency factor and sub-factor for early childhood artificial intelligence education. Literature analysis and expert Delphi survey were used to achieve the purpose of the study. For literature analysis, data were searched, and 4 domestic and 3 international data were collected. The collected data was analyzed. And 4 factor and 25 sub-factor were composed. The first constructed factor are understanding artificial intelligence (5 sub-factor), thinking about artificial intelligence (6 sub-factor), utilizing artificial intelligence (8 sub-factor), and value of artificial intelligence (6 sub-factor). The initially constructed factor were verified through expert Delphi, and the experts suggested that the competency element and sub-factor were at an acceptable level, but that the sub-factor should be supplemented. Accordingly, this study was revised by collecting opinions from experts. The revised factor are understanding artificial intelligence (6 sub-factor), thinking about artificial intelligence (2 sub-factor), utilizing artificial intelligence (6 sub-factor), and value artificial intelligence (6 sub-factor). The revised factor were verified as valid through an expert Delphi survey. Accordingly, this study proposed the revised factor as the final factor. The results of this study have many implications in that they provide important evidence for constructing an early childhood artificial intelligence curriculum.