Artificial Intelligence (AI) has become a transformative force in the manufacturing sector, enabling innovations such as predictive maintenance, quality control, and process optimization. However, the adoption of AI requires the consideration of multiple influencing factors, including technological, organizational, economic, and societal aspects. Multi-Criteria Decision-Making (MCDM) techniques provide a robust framework for identifying, prioritizing, and evaluating these factors. This article explores the implementation of MCDM approach in selecting the critical factors influencing AI adoption, offering insights into practical methodologies and their implications for the manufacturing.