Artificial Intelligence (AI) has become an emerging technological tool that is transforming various sectors including aquaculture and fisheries. This study explores how AI is being applied to improve monitoring, feeding, disease detection, stock assessment and overall farm management. The research aims to understand the extent of awareness, usage, benefits and challenges associated with implementing AI-based systems in aquatic environments. A descriptive research design was adopted and data was collected through a Google Form questionnaire from 50 respondents including students, fish farmers and individuals associated with aquatic studies. The findings of the study highlight that AI significantly enhances productivity by enabling accurate yield prediction, real-time monitoring of fish behavior and automated feeding that reduces resource wastage. Additionally, AI tools support sustainability by improving water-quality management and minimizing human errors. However, the study also identifies several limitations such as high installation costs, lack of technical knowledge, limited datasets and difficulties in integrating AI with traditional farming practices. Despite these challenges, respondents believe that AI has strong potential to revolutionize the aquaculture and fisheries sector in the future. Advanced technologies such as underwater drones, predictive analytics and machine-learning systems can further strengthen sustainable, efficient and profitable aquaculture practices.