Abstract
Artificial intelligence (AI) will reshape the metallurgical industry across the full processing chain - from ore characterization and mineral beneficiation through pyrometallurgical and hydrometallurgical testing, report preparation, plant design, and plant operations. This paper, generated with AI assistance, surveys the current landscape of AI models and agents relevant to metallurgical practice, reviews representative applications, and critically examines the limitations practitioners must confront: hallucination, sycophantic behavior, confidentiality risks, ethical responsibilities, and the challenge of detecting AI-generated manuscripts. Employment implications for metallurgical engineers are discussed. The intent is to equip metallurgical professionals with a balanced and technically honest evaluation of AI as a practical engineering tool.