thedrive.com via Reddit

Rivian AI stack set to displace CarPlay and Android Auto

Key insights

  • Rivian internal surveys show CarPlay demand among its owners fell from over 70% at launch to under 25% today.
  • Rivian software chief Wassym Bensaid says AI agents will deliver native app functionality without phone screen-mirroring.
  • The shift signals a broader EV-industry push to displace Apple and Google with proprietary AI-native vehicle software stacks.

Why this matters

Apple and Google have spent years building CarPlay and Android Auto as the primary bridge between smartphones and vehicles, and losing that channel would eliminate a key touchpoint for platform loyalty and app engagement. Rivian's own user data showing a 70% to 25% demand collapse for CarPlay in just a few years is the first concrete evidence that AI-native stacks can outpace smartphone mirroring at scale. For AI practitioners building in-car applications, the implication is that the vehicle OS, not the phone, is becoming the primary runtime for automotive AI agents.

Summary

Rivian software chief Wassym Bensaid told the Decoder podcast that AI-native in-car software will make CarPlay and Android Auto completely obsolete, with on-device AI agents replacing phone-mirroring entirely. Bensaid backed it with data: Rivian surveys show owner demand for CarPlay collapsed from over 70% at launch to under 25% today, as drivers shifted to Rivian's native stack. Essentially: (Rivian, Apple, Google) are competing for ownership of the in-car software layer. - AI agents access services natively on the vehicle without screen-mirroring. - Rivian's adoption curve shows user preferences can reverse quickly once native software reaches parity. - Tesla, Polestar, and other EV makers have made parallel bets on proprietary AI stacks. For Apple and Google, the automotive channel is one of the last major extensions of smartphone platform control.

Potential risks and opportunities

Risks

  • Apple and Google could accelerate in-car AI integrations via CarPlay Ultra and Android Automotive OS, eroding Rivian's differentiation within 12 to 18 months and making the current demand gap temporary.
  • If Rivian's AI-native stack requires persistent connectivity, rural or low-coverage drivers could face degraded experiences that reverse the satisfaction gains Bensaid cited, creating a reputational liability.
  • Automakers building fully proprietary AI stacks risk app-ecosystem fragmentation, potentially leaving Rivian owners with fewer third-party integrations than CarPlay's unified library currently provides.

Opportunities

  • Automotive AI middleware vendors including Cerence and SoundHound gain leverage as OEMs race to replace CarPlay with LLM-based native agent layers, likely unlocking new platform licensing deals.
  • Cloud providers offering edge-to-cloud AI inference for vehicles could win long-term infrastructure contracts as Rivian and peers build out on-device agent pipelines requiring hybrid compute.
  • Enterprise fleet operators running Rivian commercial vehicles could negotiate custom AI agent integrations that bypass Apple and Google entirely, creating a new B2B software services revenue channel for Rivian.

What we don't know yet

  • Whether Rivian's CarPlay demand survey was prompted or unprompted, and what the response rate and sample size were across its owner base.
  • Which specific AI agent capabilities drove the demand shift, and whether they depend on persistent cloud connectivity or run on-device.
  • Timeline for when Rivian plans to formally deprecate or stop shipping CarPlay and Android Auto support in new vehicles.