The integration of Artificial Intelligence (AI) into ergonomics represents a transformative paradigm in the optimization of workplace environments. This report explores the multifaceted impact of AI in ergonomics, emphasizing its significance in enhancing both worker well-being and operational efficiency. AI-driven solutions in ergonomics leverage advanced data analytics to assess human factors, task demands, and environmental conditions, offering a data-driven approach to ergonomic design. This not only minimizes the risk of workplace injuries but also fosters environments that promote employee health and productivity. The research further delves into the study that employs various citation and data analysis tools to conduct comprehensive research. During the initial data collection phase, Google Ngram was employed to anticipate trends in topics. Additionally, MAXQDA, VOSviewer, BibExcel, Vos viewer and Citespace were utilized for the systematic analysis of citations and associated data. Metadata extraction was carried out utilizing the Purdue Library database, encompassing Scopus, Web of Science, Harzing's Publish or Perish, and Google Scholar. Following several bibliometric analyses, it became evident that artificial intelligence (AI) significantly influences the fields of ergonomics and safety. The synergy between AI and ergonomics is positioned as a cornerstone in the evolution of Industrial Engineering, empowering professionals to design systems that prioritize safety while embracing technological advancements. The societal response to this burgeoning field necessitates strategic funding for research and education, fostering interdisciplinary collaboration and ensuring a skilled workforce. In essence, this abstract underscore the transformative potential of AI in ergonomics, offering a forward-looking perspective on the integration of technology to create safer, more efficient, and ethically grounded workplaces.