General Motors has already tapped Nvidia’s high performance chips to train advanced AI models. The next step is rolling out Nvidia Omniverse, a digital platform that creates virtual twins of both existing and future production lines. These simulations allow engineers to test and optimize assembly workflows, material flows, and production scenarios before anything is built, saving time and money while boosting quality and efficiency.

Inside the real world factories, AI is also reworking day to day operations. Robots powered by computer vision and machine learning are now handling welding, moving materials, and inspecting finished parts with more accuracy and speed than ever before. These upgrades do not just mean faster production, they also cut waste and make the whole process safer for workers.

On the road, General Motors is bringing Nvidia’s DRIVE AGX chips into its next generation vehicles to run advanced driver assist features such as Super Cruise. This move puts GM alongside big players like BYD, Mercedes, and Rivian, all of whom use Nvidia platforms for automated driving. Even Cruise, GM’s now closed self driving division, relied on these chips for its robotaxis.

But the real transformation is happening inside the dashboard. GM and Nvidia are working on a unified software system to power everything from infotainment and safety features to energy management. This setup makes it easier for GM to push out updates over the air and offer custom features through paid subscriptions. Super Cruise is already leading the way, letting drivers unlock new capabilities with a simple upgrade. The car is no longer just a machine you buy once, it is becoming a smart platform that evolves and brings in new revenue streams over time.