In the United States, Apple has been working on its self-driving car program, which ultimately did not materialize as intended. However, the efforts put into this program led to the creation of advanced AI chips, particularly the Neural Engine. This technology made its debut with the iPhone X and the A11 Bionic chip, primarily enhancing features like FaceID and augmented reality. The Neural Engine has since become a crucial component of Apple's hardware strategy, allowing the company to maintain user privacy by processing data on-device rather than relying heavily on cloud services. Despite the setbacks in its self-driving car initiative, Apple has established itself as a leader in on-device AI processing. The company has focused on integrating the Neural Engine into its M-series chips, which are used in desktops and laptops. This strategic move has positioned Apple favorably in the competitive landscape of AI hardware, even as its software capabilities have not kept pace with industry leaders. The emphasis on hardware has allowed Apple to promote its privacy features effectively, appealing to users concerned about data security. Looking ahead, Apple is making significant strides in its chip development. According to industry insider Mark Gurman, the company is skipping the Pro, Max, and Ultra versions of its upcoming M6 chip to focus on the M7. This new chip is expected to be released in the first half of 2027 and will feature substantial upgrades to the Neural Engine. The M7 Ultra is anticipated to support up to 1.5TB of RAM, indicating a major leap in processing power and capabilities. The M7 Ultra is not just a continuation of Apple's chip development but is also expected to serve as the foundation for a new server product. This move underscores Apple's commitment to enhancing its AI hardware and integrating it into various products and services. As the company continues to innovate, the legacy of its self-driving car program may ultimately lead to advancements that benefit a broader range of applications beyond autonomous vehicles.