At the just-opened 2026 Consumer Electronics Show (CES 2026), Ford Motor Company officially unveiled its new in-vehicle artificial intelligence assistant. This marks a key step for Ford in vehicle intelligence and digital transformation.

According to Ford's official plan, this AI assistant, developed by Google Cloud, will be rolled out in stages: In early 2026, it will first be integrated into the newly updated Ford smartphone app, allowing users to experience smart connectivity; by 2027, the assistant will be embedded into the vehicle's onboard system, achieving true "native installation" in vehicles.

Differing from ordinary voice commands, this AI assistant has deep access to vehicle data and parameters. This means it can not only answer practical questions based on vehicle specifications, such as "How many bags of soil can my pickup truck bed hold?" but also provide real-time information about engine oil life, tire pressure, and other detailed vehicle health information to car owners.

In addition to the AI assistant, Ford also showcased its ambitious vision for autonomous driving at CES. Ford announced that the next generation of BlueCruise advanced driver assistance system has achieved approximately 30% cost optimization and plans to offer an "eyes-off" level of autonomous driving experience by 2028. Ford emphasized that the future goal is to achieve "point-to-point" autonomous driving capabilities, directly competing with pioneers like Tesla and Rivian in the increasingly competitive intelligent vehicle market.

Key Highlights:

  • 📅 Two-Phase Deployment Plan: Ford's AI Assistant will first be available in the mobile app in 2026, and then officially enter the vehicle's native system in 2027.

  • 🧠 Deep Data Interaction: The assistant is built on Google Cloud and can provide real-time status updates and accurate usage recommendations by deeply accessing vehicle parameters.

  • 🛣️ Autonomous Driving Roadmap: Ford plans to launch an "eyes-off" level of autonomous driving by 2028 and ultimately achieve point-to-point autonomous driving similar to FSD.