The article discusses the increasing use of artificial intelligence (AI) in early vehicle design by General Motors (GM) and Stellantis. AI tools are being used to accelerate the design process, save time, and improve efficiency. Designers now use user-interface design programming to create 3D renderings and animations, while engineers use AI to perform drag and aerodynamic analysis.
The birth of a new General Motors Co car still begins with a sketch. But after that, the Detroit automaker is leaning into artificial intelligence to supercharge development.
AI saves time, GM design leaders said, and analysts caution US automakers have little time to spare as they hurry to keep up with lightning-fast production speeds in China. Stellantis in April announced a partnership with Microsoft Corp to implement AI in sales, customer care and operations. Ford dealers use a streaming service-like platform for AI-fueled training on product, competitors, service repairs, sales and more.
Ford Pro, the automaker's commercial vehicle unit, also recently launched an AI chatbot for users of its fleet telematics system to be able to find information faster, identify maintenance needs sooner, and offer cost-saving ideas. It’s an arms race, said Dan Ives, an analyst at investment firm Wedbush Securities Inc. Starting with a designer sketch, GM now employs user-interface design programming to make 3D renderings and advertisement-esque animations to pitch concept models.
The short videos have become the standard way they communicate in the design studio. Years ago, to kind of frame this, going from a sketch to a really photorealistic 3D animation like this would have taken multiple teams – including design, sculpting and visualisation – several months to do.
Now by using AI tools, a video like this can be done by a single designer in less than a day, enabling them to work a lot quicker, explore a lot more ideas and ultimately come up with better designs. Once a design concept is finalised, designers sculpt models that are passed on to engineers for drag and aerodynamic analysis. Imagine a digital sculptor sitting next to an aerodynamicist and exercising these models to get instant results.
This would have previously taken something like two weeks, and for them to be able to have that immediate feedback right now is so valuable to their process. Criticism over the use of AI in industry is mainly focused on potential job losses as algorithms and robots begin to outstrip human abilities in both design and manufacturing. The goal at the Detroit automaker is to augment and accelerate, versus replace workers. Industry experts described AI as a productivity multiplier.
That means that each individual autoworker is producing more output. And yes, that causes job losses, and that’s been a problem for the Detroit area. But it also means higher living standards over time as we have more productive workers. The UAW declined to comment further on the increasing use of AI in early vehicle design.
But union President Shawn Fain and other labour advocates are pressing US lawmakers for protections to ensure AI does not lead to job losses. The jury’s still out in terms of if it’s going to be a huge negative impact or potentially positive to employment. It all depends on robotics and how quickly it could help from a manufacturing perspective
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