At General Motors, a hand sketch that used to kick off a five-year design marathon became a photoreal 3D motion study in hours after a designer fed it into Vizcom. Automakers are using generative AI to collapse the traditional five-year design cycle: sketches that once fed a 60-month development pipeline can now be turned into photoreal 3D models and short animations in hours, accelerating how concepts move from paper to production.

How designers work today

  • Design begins with a person and a pen: initial sketches establish shape and proportion.
  • Selected ideas are refined, redrawn and converted into detailed digital files.
  • Teams often sculpt clay models to check surfaces and profiles in real life.
  • From first sketch to showroom, the industry standard is about a 60-month development cycle.

Now, parts of that funnel are being sped up by software that can take a hand sketch and generate a photoreal 3D asset with motion. Designers can iterate on proportion, trim, lighting and context rapidly. The result is a much tighter loop between idea and visual proof.

Tools and workflows

General Motors has pushed one of those faster loops into its studios. Dan Shapiro, creative designer at General Motors, described a workflow where an initial human sketch is fed into Vizcom, a commercially available AI tool. Shapiro said the tool produced a full 3D model and animation in hours—work that previously demanded “multiple teams multiple months.”

Shapiro used writing prompts to shape the output. Short commands such as “Create a dynamic view action shot of this Chevy concept vehicle... Empty elevated streets. Modern city” produced an animated clip that showed the concept in motion. In some runs, details like vertical wheel covers vanished; prompt tweaks restored them. The result was not a finished production file but an early, moving mood board the whole team could see.

Mastheads

Those rolling mood boards let colleagues judge proportions, silhouette and character sooner. Shapiro stressed that humans still lead the choices: “That’s what the sketches are for,” he said, “and AI helps us see it sooner.” He also said designers decide if a shape reads as a Buick, a GMC, a Cadillac, or in his example, a Chevy.

Where AI sits in the pipeline

The current role for these generative systems is supportive. At GM they’re used for rapid visualization and internal ideation rather than for making final engineering decisions. The 3D outputs can highlight issues early, help communicate intent to engineers, and guide physical prototyping—but they don’t replace the detailed digital modelling and validation steps that follow.

One technical area where computation already matters is aerodynamic testing. Computational fluid dynamics, or CFD, is the science of figuring how a fluid flows around a shape. CFD helps electric vehicles go farther on a charge. Designers and engineers use CFD and other simulation tools later in development to make sure a chosen form meets performance and safety targets.

So the AI-driven visual stage sits before simulation and engineering validation. It shortens the creative iteration. It doesn’t, as yet, collapse the steps that prove a design is safe, manufacturable and compliant with regulations.

Timing and industry pressure

That speed matters because the policy and market context has changed since many of today’s cars were conceived.

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"We’re still the monks deciding what feels like a Buick, a GMC, a Cadillac, and in this case, a Chevy," said Dan Shapiro, creative designer at General Motors.

This article was created with AI assistance.