The competitive dynamics within today's AI chip market have experienced profound shifts. While NVIDIA continues to lead the industry, it now confronts challenges from several directions. The global semiconductor sector is undergoing a pivotal transformation, with AI chips emerging as the central driver of growth. Projections indicate that the market for AI chips will expand to nearly US$500 billion by 2026, representing approximately half of all global chip sales. However, this booming sector is characterized by a concentration of value in a select few high-margin products, with AI chip shipments constituting less than 0.2% of the total chip market.

Despite NVIDIA's sustained leadership, its market share is under threat from competitors such as AMD and Google. AMD's introduction of the MI455X chip and Helios rack architecture presents a formidable challenge to NVIDIA's ecosystem, particularly in terms of memory capacity and system-level performance. On the other hand, Google's TPU v7 leverages optical circuit switching technology to achieve ultra-large-scale cluster connectivity and has started to make this technology available to external customers.

In response, NVIDIA has bolstered its inference chip strategy through the acquisition of Groq. The company has also unveiled the Vera Rubin superchip architecture and the Groq 3 LPU collaborative platform, reinforcing its position as a comprehensive AI computing power provider. Notwithstanding NVIDIA's impressive 65% year-on-year revenue growth in fiscal year 2026, including a 75% surge in data center revenue, the market's valuation approach towards the company has evolved. It has transitioned from viewing NVIDIA as an 'asset with incremental surprises' to an 'asset with high delivery expectations.' Consequently, its stock performance is now influenced by a range of factors, including gross margin, customer composition, supply chain cycles, and return on capital investments.