Could Nvidia Reach a $10 Trillion Market Cap? I Think So. And It Will Happen Faster Than You Think. - The Globe and Mail

Nvidia, as a leader in the AI computing sector, continues to dominate the market with its GPUs, which are essential for AI training and inference tasks. The article highlights the growing demand for N... Read original →

Nvidia’s potential leap to a $10 trillion market cap within 18 months would redefine semiconductor valuation paradigms. Its GPUs act as the AI compute backbone, triggering cascading demand across advanced packaging (e.g., CoWoS), high-speed interconnects, liquid-cooled data centers, and even sub-3nm foundry capacity. Yet intensifying U.S. export controls raise compliance overhead and accelerate client-driven diversification—especially in Taiwan, China and mainland China, where domestic AI chipmakers now enjoy strategic subsidies. Rivals like AMD, Intel, and hyperscaler-developed ASICs (e.g., Google TPU) are closing the gap, forcing Nvidia to deliver architectural leaps beyond Blackwell. While AI capex may surpass $1 trillion by 2027, diminishing returns on large-model training could trigger a ‘compute inflation’ repricing. Nvidia must prove its software stack and inference monetization can sustain premium multiples amid looming saturation.