Tata, Mahindra, Kia, Maruti Suzuki, and Hyundai, among other businesses, are now testing completely autonomous vehicles, which are anticipated to become commonplace in the upcoming years. Lower degrees of self-driving technology are already commonplace, but a truly autonomous future is likely decades away due to testing, infrastructure, and legislation. Tesla's Autopilot and features like lane assist and self-parking are examples of current autonomous car technology. Since no manufacturing process is flawless, it's critical to swiftly spot parts and vehicles that don't adhere to brand standards. Porsche employs AI during testing to find noises that could be signs of issues, while Audi uses computer vision to spot broken parts. Additionally, AI can detect flaws up to 90% more accurately than humans, greatly decreasing future issues.

Particularly when substantial issues aren't discovered until after a physical vehicle is produced, traditional vehicle design and testing is an expensive and time-consuming endeavour. However, playing out specific situations has traditionally been done through computer modelling. Automotive experts can create models that exactly replicate every part of the vehicle design and test the vehicle in realistic, dynamic circumstances long before it is produced thanks to artificial intelligence for automobiles. Traditional assembly-line robots are not instances of artificial intelligence, but emerging AI applications utilised on the factory floor are revolutionising how vehicles are made. BMW, for instance, employs AI-powered robots to construct customised vehicles and drive materials by themselves while avoiding moving objects and humans.