AI in manufacturing is still in its early stages and is currently being used primarily for predictive maintenance and process optimization. By leveraging machine learning algorithms and analytics tools, AI can detect potential problems before they happen and help to optimize processes by analyzing data from sensors and machines. In addition, AI can be used for more complex tasks such as automating quality assurance, testing products in real-time, and optimizing supply chain management. There are also several other applications of AI in manufacturing that are being explored, such as robot-assisted automation, autonomous vehicles, and 3D printing.