This review examines the integration of artificial intelligence (AI) into robotic arm design, highlighting advances in autonomy, precision, and adaptability. AI enables robotic arms to perform complex tasks in dynamic environments through techniques such as machine learning, computer vision, and motion planning. Key developments include the use of deep learning for object recognition, reinforcement learning for task optimization, and AI-driven human-robot interaction. Despite challenges like high computational demands and data requirements, AI is transforming robotic arms into smarter, more efficient systems with broad applications in industries such as manufacturing, healthcare, and service robotics.