Can NVIDIA Continue to Lead the AI Wave? How Much Room Is There for Growth Over the Next Three Years?

As a global leader in AI chips, NVIDIA has become a major beneficiary of the current artificial intelligence revolution. But as competition intensifies and valuation pressures mount, investors are beginning to ask: Can NVIDIA maintain its leading position?

I believe NVIDIA will continue to have strong competitive advantages, but there are four areas to watch.

First, demand for AI computing power still has long-term growth potential. Training large models, AI inference, autonomous driving, robotics, and AI adoption across enterprises all require substantial high-performance computing resources. The broader the adoption of AI applications, the greater the demand for computing infrastructure.

Second, NVIDIA’s real advantage goes beyond chips. Its CUDA software ecosystem, developer community, server platforms, and high-speed interconnect technology together form a competitive moat. Even if competitors launch chips with solid performance, building a complete ecosystem takes time.

Third, competition is clearly intensifying. AMD, Intel, and large cloud computing companies developing their own chips are all vying for the AI computing market. NVIDIA may continue to lead, but its market share and profit margins may not remain at current levels forever.

Fourth, valuation determines investment returns. Even if a company has excellent technology and growth prospects, investors may still face a prolonged valuation adjustment if its share price already fully reflects future expectations.

Therefore, I remain positive about NVIDIA’s long-term position in the industry, but investors should not simply equate growing AI demand with an inevitable rise in the stock price.

Over the next three years, the key things to watch are whether demand for AI computing power can continue to grow, whether corporate capital expenditures can translate into profits, and whether NVIDIA can maintain its technological lead.

Do you think NVIDIA can maintain its absolute lead in the AI chip sector over the next three years?