Suyash Rai
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its
predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time
adaptability, intelligent orchestration, and autonomous decisionmaking. This paper explores the symbiosis between AI and 6G,
highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into
AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational
changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the
proposed architecture.