Nvidia and Arm are simultaneously competing (Nvidia sells its own Arm-based CPU) and cooperating. Every Arm-based Nvidia chip sold helps challenge the Intel/AMD x86 duopoly and expands the software ecosystem for Arm architecture, which in turn benefits Arm's own direct chip sales.

Steve Jobs's long-term strategy to move Apple to its own silicon, initiated in 2008, has coincidentally positioned Macs (especially the Mac Mini) as the perfect sandboxed, powerful, and private hardware for running local AI agents like OpenClaw.

Nvidia dominates AI because its GPU architecture was perfect for the new, highly parallel workload of AI training. Market leadership isn't just about having the best chip, but about having the right architecture at the moment a new dominant computing task emerges.

The Neural Engine, the specialized AI chip in iPhones, was a direct result of the canceled Apple Car project. It was designed to power a self-driving car's AI and was later shrunk for the phone. Without the car project, Apple would be even further behind in on-device AI.

Apple crushed competitors by creating its M-series chips, which delivered superior performance through tight integration with its software. Tesla is following this playbook by designing its own AI chips, enabling a cohesive and hyper-efficient system for its cars and robots.

ARM, known for its high-margin IP licensing, is now manufacturing its own chips. While this drastically lowers gross margins from 97% to ~50%, it's a strategic move to capture a much larger revenue opportunity created by the CPU demand from AI agents.

While competitors spend billions on data centers, Apple's focus on powerful on-device chips cleverly offloads the enormous cost of AI compute directly to consumers. Customers pay a premium for new devices capable of local inference, creating a massively profitable and defensible AI business model for Apple.

While the fabless semiconductor model is blamed for the U.S. losing manufacturing, it was a crucial enabler for innovation. It allowed design-focused companies like Apple, NVIDIA, and Qualcomm to de-risk manufacturing and focus on creating new technologies, highlighting a key tradeoff between industrial base and innovation velocity.

By launching its own CPU and competing directly with its licensing customers like NVIDIA and Qualcomm, Arm is creating a conflict of interest. This bold move could push its own partners to adopt open-source alternatives like RISC-V to de-risk their supply chains and avoid dependency on a direct competitor.