Apple's cancelled self-driving car project may have crashed and burned, but it left behind something far more valuable - the Neural Engine that now powers AI across every iPhone, iPad, and Mac. According to Bloomberg's Mark Gurman, the doomed Project Titan forced Apple's chip team to solve on-device AI processing years before it became a competitive necessity, accidentally positioning the company as a leader in edge AI computing. Apple's Project Titan was supposed to revolutionize transportation. Instead, it revolutionized the company's silicon strategy in ways nobody saw coming. The self-driving car program never made it past internal prototypes, officially shutting down in early 2024 after years of false starts and leadership changes. But buried in the wreckage was a critical insight that would reshape Apple's entire product lineup - autonomous vehicles need massive on-device AI processing power, and they need it yesterday. That realization led directly to the Neural Engine, according to Mark Gurman's latest Power On newsletter. While competitors were still farming AI workloads out to the cloud, Apple's car team was already wrestling with real-time computer vision, sensor fusion, and split-second decision-making that couldn't afford network latency. The chip architecture they developed to handle those demands became the blueprint for every Apple device since. The Neural Engine made its public debut with the iPhone X and A11 Bionic chip in 2017. At launch, Apple positioned it primarily as a computer vision engine powering FaceID's facial recognition and those animated Animoji characters everyone briefly obsessed over. The original Neural Engine could perform 600 billion operations per second - impressive at the time, but quaint compared to today's standards. What wasn't obvious then was how the architecture would scale. Each generation brought exponential improvements. The A12 Bionic doubled performance to 5 trillion operations per second. By the time the A15