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Chronicles

The story behind the story

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GM plans to roll out Google Gemini in its vehicles starting in 2026 and plans an advanced driver-assistance system with eyes-off driving capabilities in 2028

NEW YORKGeneral Motors is targeting a suite of new software initiatives for its vehicles over the next three years …

CNBC Michael Wayland

Context & Ripple Effects

GM had already signaled work on a Level 3 eyes-off, hands-off system without a public launch timetable. The new targets turn that open-ended effort into a vehicle-software roadmap spanning in-car AI and driver assistance.

The plan also extends GM’s long-running push beyond its Super Cruise hands-free assistance rollout toward a more software-defined customer experience.

First-order effects

  • GM is committing to put Google Gemini into its vehicles beginning in 2026, making Google’s AI a planned part of its in-car interface rather than a standalone phone feature.
  • GM has set a 2028 target for an eyes-off advanced driver-assistance capability, while reorganizing AI talent and moving away from Apple CarPlay and Android Auto support.

Second-order effects

  • Google gains another automaker route for Gemini as its broader shift from Assistant to Gemini in built-in cars reaches the market; rival automakers will face sharper pressure to define their own in-car AI strategy.
  • GM’s retreat from phone-projection support concentrates more control over navigation, voice interaction, and software updates in the automaker’s own vehicle stack, raising the value of its Google partnership.

Third-order effects

  • If automakers pair proprietary vehicle software with external foundation-model providers, the in-car experience may increasingly be controlled by OEM-platform alliances rather than by smartphone ecosystems.
  • Eyes-off capability would raise the strategic importance of proving system limits and driver handoff behavior; the 2028 target remains a product ambition until GM demonstrates those capabilities in deployed vehicles.

The trend: Automakers are converging on software-defined vehicles that combine embedded AI assistants with progressively more capable driver-assistance systems.