Apple’s failed self-driving car program left a legacy of powerful AI chips
Apple’s discontinued autonomous vehicle project provided the technical foundation for the high-performance AI processors currently used in its modern devices. Research for the car platform necessitated early breakthroughs in on-device neural processing that otherwise might not have been prioritized.
While Apple recently canceled its decade-long pursuit of a self-driving electric vehicle, the project's internal engineering efforts have reportedly left a lasting impact on the company's silicon division. Early in the development cycle, engineers realized that autonomous driving would require immense local processing power to handle real-time sensor data without relying on the cloud.
This requirement led to the creation of advanced neural engines and specialized AI hardware designed for the vehicle's onboard computer. Although the car processor itself was never finalized for its original purpose, the architectural innovations and design principles were integrated into the A-series and M-series chips used in iPhones and Macs.
The technical legacy of the failed program is now a primary driver for Apple’s current generative AI strategy. Industry analysts suggest that the company's lead in low-power, high-performance silicon is a direct result of these early automotive investments. Source: Mark Gurman, Bloomberg.
