The article explores the potential of Artificial Intelligence (AI) in advancing aquaculture to meet the growing global demand for food, particularly fish. With the increasing population and overfishing depleting wild stocks, advanced aquaculture technologies are essential. AI tools such as IoT, machine learning, cameras, and algorithms can reduce human intervention, enhance productivity, and monitor fish health, feed optimization, and water resource management. However, challenges include data collection, standardization, model accuracy, interpretability, and integration with existing systems. The review highlights the application of AI in various aspects of aquaculture, including water quality monitoring, disease detection and prevention, biomass estimation, feeding optimization, growth promotion, sustainability, and conservation genetics. AI can provide real-time data analysis, predictive models, and personalized interventions to improve fish health, reduce waste, and increase productivity. Despite these benefits, ethical considerations and the cost of AI technology remain concerns. Overall, AI holds significant promise for revolutionizing aquaculture, but responsible and sustainable use is crucial.The article explores the potential of Artificial Intelligence (AI) in advancing aquaculture to meet the growing global demand for food, particularly fish. With the increasing population and overfishing depleting wild stocks, advanced aquaculture technologies are essential. AI tools such as IoT, machine learning, cameras, and algorithms can reduce human intervention, enhance productivity, and monitor fish health, feed optimization, and water resource management. However, challenges include data collection, standardization, model accuracy, interpretability, and integration with existing systems. The review highlights the application of AI in various aspects of aquaculture, including water quality monitoring, disease detection and prevention, biomass estimation, feeding optimization, growth promotion, sustainability, and conservation genetics. AI can provide real-time data analysis, predictive models, and personalized interventions to improve fish health, reduce waste, and increase productivity. Despite these benefits, ethical considerations and the cost of AI technology remain concerns. Overall, AI holds significant promise for revolutionizing aquaculture, but responsible and sustainable use is crucial.