LAS VEGAS — According to exhibitors at CES this year, the car is a mobility device, a living room and an office.
A driver can instruct an endlessly patient artificial intelligence-enabled voice assistant to map routes and make calls, while invisible mechanisms use lidar, radar and other sensors to navigate the complexities of hectic city driving, rendering beautiful and functional graphics in seconds. Meanwhile, electric vehicles factor charging times and locations into route calculations. All of this happens through the magic of AI.
But there is neither sleight of hand nor fairy dust behind the magic. The secret to AI-enabled vehicle tools is the computer chips that can handle the Herculean task of processing and responding to reams of data in real time.
All the flashy tech visible to consumers requires a computer platform composed of hundreds and sometimes even thousands of semiconductors. But now, some of the most cutting-edge companies are trying to squeeze much of that onto a single chip.
Intel, Nvidia and Qualcomm all highlighted new forms of this consolidated vehicle architecture that can combine many of the microprocessors into two or three system-on-chips.
The push for vehicle architecture consolidation has set off a debate over whether a car's brains should be this new, more compact technology or the existing system. There are implications for the financial health of Tier 1 suppliers that have banked on the growth of software-defined features through these tiny chips. The old architecture used about $540 worth of semiconductors per car in 2022, according to Yole Group, amounting to billions of dollars.
Proponents of the current system say the new AI architecture isn't ready for prime time.
Tier 1 suppliers are "very worried," said Alex Oyler, director of SBD Automotive North America. The switch "is happening now."