GM removes Apple CarPlay from all new cars: see what replaces it

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• Why some car brands are ditching Apple CarPlay and Android Auto
• GM’s vision: an in-house infotainment future powered by AI
• How other manufacturers are reacting and collaborating
• Driver impact: benefits, frustrations, and trade-offs
  • Privacy, data, and permission models
• Where AI fits into the automotive software race

Automakers are rewriting the rules for in-car software. As tech giants push smarter phone-to-car links and generative AI, many vehicle makers are choosing to build their own systems. That decision could reshape how drivers interact with navigation, voice assistants, and in-vehicle apps.

Why some car brands are ditching Apple CarPlay and Android Auto

Several manufacturers now see third-party phone mirroring as a compromise. They argue that simply projecting a phone UI into the cabin limits what a car can do.

• Integrated hardware matters: Automakers want to use vehicle-specific sensors, speakers, displays, and driving data to deliver richer features.
• Design control: A unified stack gives brands the power to craft a distinctive user interface and feature set.
• Faster fixes and custom updates: Controlling both software and hardware simplifies testing and rollouts.

Executives compare the car experience to moving from a phone to a laptop. In that analogy, passengers prefer tools made for the larger, motion-capable environment rather than a mirrored phone view.

GM’s vision: an in-house infotainment future powered by AI

General Motors plans to remove CarPlay and Android Auto from its entire lineup over time. The company is building a next-generation infotainment platform centered on vehicle-specific capabilities.

GM has announced a short-term partnership with Google to provide a conversational assistant based on Google Gemini. But the automaker says this is only a bridge. The long-term plan is a proprietary AI assistant.

• The in-house assistant will be tuned to each model and will connect to OnStar for added intelligence.
• With user permission, the system would learn driver preferences and vehicle data to tailor responses.
• GM frames this as a shift from phone-mirroring to a vehicle-native, context-aware interface.

How other manufacturers are reacting and collaborating

Industry moves are uneven. Some brands embrace third-party ecosystems, while others focus on bespoke platforms.

• Rivian and Tesla: Both have already prioritized in-house software to ensure tight hardware and software integration.
• Mercedes-Benz: Has partnered with Google to develop an Automotive AI Agent using Gemini technology.
• Chinese EV makers: Several are integrating domestic AI assistants to offer voice and contextual features at scale.

These different approaches show a split in strategy: license a mature tech stack or invest heavily to own the entire customer experience.

Driver impact: benefits, frustrations, and trade-offs

Switching away from CarPlay and Android Auto has tangible effects for users. Some drivers will welcome new capabilities. Others may miss familiar apps.

• Potential upsides: Deeper vehicle integration, tailored voice controls, and features that use vehicle sensors and charging info.
• Possible downsides: Loss of app continuity, learning curves, and concern over data sharing with automakers.
• Update cadence: Automakers promise quicker feature rollouts within a controlled stack, but that depends on execution.

Privacy, data, and permission models

Automakers emphasize consent. They say personalization will occur only with user permission and that systems will leverage OnStar or equivalent telematics for richer context.

Transparency and controls will determine how comfortable users feel about vehicle-specific assistants learning their routines.

Where AI fits into the automotive software race

AI is no longer an optional feature. Voice agents, predictive routing, and personalized cabin settings are becoming core differentiators.

• Short-term: Partnerships with established AI providers supply conversational features quickly.
• Long-term: Proprietary AI foundations allow manufacturers to tune models to driving contexts, hardware, and brand values.
• Market reality: Not every automaker can build a full AI ecosystem, so alliances and licensing will continue.

As automakers race to own the software stack, the industry could split into ecosystems that mirror the smartphone wars, but focused on cars, voice, and driving intelligence.