Automakers use AI to speed up car design and development processes

15 articles · Updated · The Verge · Apr 27

General Motors, Nissan, and Jaguar Land Rover are deploying AI tools like Vizcom and Neural Concept to cut design phases from months to hours and CFD simulations from four hours to one minute.
These advancements enable faster prototyping, earlier engineering input, and accelerated software integration, with Nissan targeting a 30-month new car development cycle to regain US market momentum.
While companies claim AI boosts productivity without cutting jobs, experts warn of potential impacts on design studio employment and increased competition for new designers entering the industry.

As AI slashes car development time, are we trading long-term vehicle reliability for short-term market speed?

With AI automating design and coding, what is the future for entry-level automotive engineering jobs?

Can AI's promise of efficiency truly rescue automakers from billions in recent electric vehicle losses?

How will automakers secure 'AI-defined vehicles' that constantly rewrite their own operational code on the fly?

Will generative AI lead to a future of visually stunning but soulless, brand-indistinguishable cars?

When an AI-driven car makes a mistake, who is legally responsible: the driver, the maker, or the algorithm?