The Shift from Training to Inference: While training massive foundational models initially dominated hardware demand, the next decade will be defined by cost-effective, high-throughput inference. This is accelerating the pivot toward custom Application-Specific Integrated Circuits (ASICs) alongside traditional GPUs. Edge AI Proliferation: The integration of AI hardware into everyday verticals—most notably the automotive sector (projected to see 60–65% of new vehicles integrated with AI chips by 2030), healthcare, and industrial IoT—demonstrates that intelligence is moving closer to the point of data creation.