With the rise of artificial intelligence (AI), research related to AI has become popular in the field of management. Whether the research outcomes containing AI-related themes or methods would have a positive effect was worth exploring. Based on the UTD 24 journals in the field of management studies, this article systematically collected over 50,000 top-tier papers from six sub-disciplines of management, identified research literature containing elements related to AI through natural language processing methods, and conducted quantitative analyses on their academic impact and online attention respectively. The results indicated that, in terms of academic impact, AI-related papers in the Management (General/Strategy) and Management (Operations) domains had negative effects. Specifically, the academic impact of AI-related papers significantly lower than non-AI papers in those fields. Since 2006, AI-related papers in the field of Marketing were associated with an increase in citations. Regarding the online attention, AI-related papers in the Management (General/Strategy) domain had a more positive influence. Although AI-related papers in Information Systems accounted for a significant proportion (28%), they did not have significant association with both academic and online attention within the field. Additionally, it was noteworthy that gender played a significant performance of the journals. Female first authors demonstrated more positive academic and online attention performance in fields like Marketing. This differed from the results of previous studies that examined gender influences.