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Chronicles

The story behind the story

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An interview with GM SVP of Software and Services Engineering David Richardson on GM's new AI team, building factory “cobots”, or collaborative robots, and more

So far the team includes hires from Google, Meta, AWS and even a Pixar vet who is helping GM develop new factory ‘cobots’

Wall Street Journal Isabelle Bousquette

Context & Ripple Effects

GM had already been building a software organization, including its 2023 hire of a former Apple executive to lead a newly created software unit. It also extended its Google Cloud relationship to apply AI to simpler OnStar interactions, freeing human operators for more complex cases in a customer-service AI deployment.

The new team takes that software-and-AI push into factory operations, with collaborative robots as a concrete engineering target rather than only a service application.

First-order effects

Second-order effects

  • GM will need to connect factory AI work with the capabilities it has already applied to service operations, including its Google Cloud-based OnStar automation, rather than treat each as a standalone initiative.
  • Hiring from large technology companies makes automotive manufacturing another destination for AI and robotics talent, while raising the bar for GM to translate that talent into production-floor tools.

Third-order effects

  • If GM can operationalize cobots, automakers' software organizations may increasingly own factory automation strategy alongside in-vehicle and customer-facing software.
  • The pattern points toward AI programs spanning service, vehicle, and manufacturing workflows; their durable advantage will depend on integration into real operations, not the creation of AI teams alone.

The trend: Automakers are broadening AI from digital customer-service tools into operational systems that link software engineering with physical factory work.