The integration of artificial intelligence (AI) with optical fiber sensors (OFSs) represents a paradigm shift in sensing technology, offering unprecedented improvements in sensitivity, accuracy, and data processing capabilities. This chapter delves into the synergistic relationship between AI and OFSs, highlighting the transformative impact AI algorithms have on enhancing the performance and functionality of these sensors. Numerous artificial intelligence (AI) methods, including machine learning, deep learning, and neural networks, have been investigated along with their uses in improving signal processing, sensor design, and real-time data analysis. There are case studies that show how AI-enhanced OFSs have been successfully applied in a variety of industries, such as industrial automation, healthcare, environmental monitoring, and structural health monitoring. The chapter also addresses the challenges and prospects of this interdisciplinary approach, emphasizing the potential for AI to drive the next generation of intelligent sensing systems. By leveraging the strengths of both AI and optical fiber technologies, the aim is to provide insights into how this fusion can lead to more efficient, robust, and adaptable sensing solutions.