Elon Musk has personally reached out to top chip designers in South Korea, urging them to join Tesla’s efforts to develop proprietary AI silicon. This approach bypasses traditional supplier networks and highlights Tesla’s commitment to vertically integrate its computing capabilities.

Tesla’s move toward in-house chip design aims to reduce dependency on external vendors, lower per-unit costs and optimize performance for its self-driving software. Building its own silicon aligns with broader industry trends and positions Tesla to tailor hardware specifically for its Dojo supercomputer and vehicles.

Custom AI chips could accelerate the rollout of advanced driver-assistance features and support Tesla’s Dojo training infrastructure, potentially delivering faster neural network training and inference speeds. Investors will watch recruitment outcomes closely for signs of hardware innovation and competitive differentiation.