Apple is significantly expanding its use of artificial intelligence technologies to automate and optimize the design of its future generations of A-series and M-series processors. This was reported on June 19, 2025, by several authoritative sources, including Reuters, MacRumors, and TechWire Asia, citing information from supply chain insiders and analysis of company job postings. The focus is on the deep application of AI and machine learning in the most complex and labor-intensive stages of semiconductor development, known as Electronic Design Automation (EDA). Advanced algorithms are used to solve complex tasks such as the optimal physical placement of billions of transistors and other components on a die (floorplanning), automated error verification, and finding the best balance between performance, power, and area (PPA optimization). Using AI allows Apple not only to significantly reduce the multi-month development cycles of its custom chips for iPhone, iPad, and Mac but also enables the exploration of more complex and innovative architectures that would be too laborious to design solely by human teams. This approach creates a powerful synergistic "AI to build AI" effect: more advanced chips enable more powerful on-device AI models, which in turn help design even more advanced chips. Accelerating development cycles and the ability to create more powerful and energy-efficient processors are a key competitive advantage, allowing Apple to maintain its technological leadership within its device ecosystem and provide unique capabilities for its products.
Apple Actively Using AI to Accelerate Its Chip Design
