Abstract

This study comprehensively examines the transformative role of generative artificial intelligence (GAI) technologies in industrial and service sectors. It analyzes how generative models are applied across various domains such as design, manufacturing, logistics, education, healthcare, and finance, highlighting their benefits and associated challenges. Within the framework of Industry 4.0 and Industry 5.0, the integration of human-centered production paradigms with AI-supported systems enables the restructuring of production processes and the transformation of decision-making mechanisms. However, critical issues such as data security, ethical responsibilities, legal regulations, and workforce adaptation emerge as significant areas of concern for the sustainable deployment of these technologies. Accordingly, this study aims to provide a multi-dimensional assessment based on literature review, sectoral applications, and a SWOT analysis, offering strategic and policy-oriented recommendations for the future implementation of GAI systems.

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