The integration of Artificial Intelligence (AI) into livestock management promises to revolutionize agricultural practices by optimizing animal health, productivity, and welfare. This paper explores AI-driven solutions that leverage machine learning, computer vision, and Internet of Things (IoT) devices to enhance livestock welfare and farm efficiency. Traditional challenges in livestock management, such as disease detection, welfare monitoring, and resource management, are examined, and a comprehensive AI framework is proposed. This framework provides real-time data insights through continuous monitoring, predictive analytics, and automation. The results suggest that AI can enhance animal welfare and contribute to sustainable farming practices, leading to increased productivity and profitability. The paper concludes by discussing the broader implications of AI in agriculture and the need for further research into the ethical use of AI technologies in animal farming.