Apple’s decade-long effort to build a self-driving car ended in failure in early 2024, but the artificial intelligence technology developed for the project has become a cornerstone of the company’s most successful products. According to Bloomberg’s Mark Gurman, the Neural Engine—a specialized AI processor created for Project Titan—now powers critical features in the iPhone, MacBook, and iPad, including FaceID and Apple’s latest AI framework, Apple Intelligence.
From Autonomous Vehicles to On-Device AI
Launched in 2014, Project Titan was Apple’s attempt to develop a fully autonomous electric vehicle with Level 5 self-driving capability. The company reportedly spent $10 billion over a decade, building new facilities and filing hundreds of patents related to autonomous driving technology. While the project was cancelled before producing a market-ready car, its AI advancements have had a lasting impact on Apple’s consumer devices.
The Neural Engine, a dedicated component for on-device AI processing, emerged from Project Titan’s development. Gurman reports that this technology was first integrated into the iPhone X’s A11 Bionic chip in 2017, enabling FaceID’s facial recognition system. By 2021, the Neural Engine had evolved into a key feature of the M1 chipset, Apple’s first in-house processor for MacBooks, which replaced Intel’s CPUs and improved performance and energy efficiency. Today, the Neural Engine is embedded in the M-series chips powering Apple’s latest devices, including the iPhone 15 Pro Max and newer MacBooks.
Apple Intelligence: A Direct Legacy of Project Titan
Apple Intelligence, the company’s latest AI framework, is available on the iPhone 15 Pro Max and newer models, as well as MacBooks, iPads, and Apple Watches. The system enhances Siri’s ability to understand context, enables real-time object recognition in photos, and allows users to edit or remove elements from images—capabilities Gurman attributes to the AI advancements made during Project Titan. Bloomberg reports that the custom processors running Apple Intelligence in Apple’s servers also trace their origins to the car project.
While Apple has not disclosed the specific applications of the hundreds of patents filed during Project Titan, the company’s shift toward on-device AI processing has been a defining feature of its recent hardware. The Neural Engine’s ability to handle complex machine learning tasks without relying on cloud servers has improved privacy and performance across Apple’s ecosystem. This technology is now a standard component in the company’s custom silicon, including the M1, M2, and M3 chipsets.
A $10 Billion Investment with Lasting Impact
Though Project Titan failed to deliver an Apple-branded vehicle, its influence is evident in nearly every modern Apple device. The Neural Engine’s integration into the iPhone, MacBook, and iPad has enabled features that were once considered futuristic, such as real-time photo editing and advanced voice recognition. Gurman notes that the AI hardware and software developed for autonomous driving have been repurposed to enhance Apple’s consumer products, ensuring that the project’s legacy endures.
Apple’s decision to cancel Project Titan in early 2024 marked the end of its most ambitious hardware endeavor, but the AI advancements it spurred continue to shape the company’s future. As Apple prepares to release new chipsets, including the rumored M4 and beyond, the Neural Engine’s role in on-device AI processing is expected to expand, further embedding Project Titan’s technology into the daily lives of millions of users.
