Will Nvidia Continue to Dominate in AI? This One Number Offers a Strikingly Clear Answer. - The Motley Fool

NVIDIA has built a dominant position in the artificial intelligence (AI) sector through its powerful GPU offerings, which are essential for training and running AI models. The company has expanded bey... Read original →

NVIDIA’s dominance stems not just from GPU horsepower but from the CUDA ecosystem, which has locked AI software development into its architecture—creating a cascading effect that marginalizes even capable rivals like AMD’s MI300 and confines Cerebras to niche deployments. Geopolitical friction, especially U.S. export controls, inflates supply chain costs and inadvertently fuels accelerated chip self-reliance in Taiwan, China, South Korea, and mainland China. In response, hyperscalers like Amazon will likely double down on custom silicon to reduce dependency as NVIDIA ventures into CPUs. Over the next 12–24 months, the market will split: NVIDIA retains supremacy in supercomputing and large-model training, but competitors will target inference and edge AI. While its Top500 share may dip below 80%, NVIDIA’s profit concentration in high-value workloads will strengthen, making its leadership more resilient than raw market share suggests.