During an award ceremony in Belgium, Apple SVP Johny Srouji described how the company plans to use AI to revolutionize chip development by enabling engineers to complete design tasks more efficiently, Reuters reports.
Srouji walked through Apple’s in-house chip journey, starting with the A4 chip in 2010, which powered early iPhones, to the latest processors powering Macs and the Vision Pro headset.
In 2020, Apple famously made a bold shift, transitioning its Mac lineup entirely to Apple Silicon without retaining Intel backup, underlining its willingness to take big technology bets. Relying heavily on electronic design automation (EDA) tools, particularly those from Cadence and Synopsys, it now needs to manage the rising complexity of modern chip design.
Srouji emphasized these platforms are already integrating generative AI features that can significantly increase productivity. “Generative AI techniques have a high potential in getting more design work in less time, and it can be a huge productivity boost,” he said.
AI-enabled tools are expected to automate layout, simulation, and verification tasks, mostly labor-intensive and time-consuming, allowing Apple to innovate faster.
Integrating AI into chip design aligns with Apple’s strategy to maintain discipline in hardware development and ensure the performance and efficiency of its silicon across devices. With Apple pushing the boundaries of what’s possible, from M-series chips to the A18 in the latest iPhones, AI can accelerate iterations and deepen design complexity analysis.
This emerging trend isn’t exclusive to Apple; other chipmakers and EDA providers are racing to incorporate generative AI to stay competitive in an increasingly complex semiconductor industry.
Despite its strides, Apple faces infrastructure challenges. It lacks extensive GPU-heavy data centers compared to rivals like Google and Microsoft, which may slow progress in training large AI models for design automation.
Some analysts argue that Apple might need to develop server-grade AI chips, potentially through internal development or partnerships to fully support generative AI workflows in-house. Indeed, Apple has reportedly collaborated with Broadcom on server-oriented AI silicon and could eventually deploy such chips in data centers by 2026.
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Maybe that's what they meant by "Apple Intelligence"!