<![CDATA[This study aims to examine the implementation of Artificial Intelligence (AI) in operations management by identifying the opportunities it provides for improving operational efficiency, decision-making, productivity, and business performance, as well as the challenges organizations face during its implementation. This study employs a qualitative approach using a literature review method. Relevant scientific literature on Artificial Intelligence, operations management, business processes, automation, and organizational transformation was reviewed and analyzed thematically to identify key patterns regarding the opportunities and challenges associated with AI implementation in business operations. The findings indicate that AI implementation provides significant opportunities for businesses, particularly in process automation, demand forecasting, inventory management, resource optimization, operational decision-making, and customer service. AI can also support organizations in improving efficiency and responding more rapidly to changes in market conditions. However, its implementation is accompanied by several challenges, including high implementation costs, data quality and availability, cybersecurity and privacy risks, employee resistance, lack of AI-related skills, and ethical concerns. The findings suggest that successful AI implementation in operations management requires not only technological readiness but also organizational preparedness, employee competence, effective data governance, and appropriate managerial strategies.]]>
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