Nvidia CEO Jensen Huang delivered a forceful defense of Taiwan's role in the global semiconductor supply chain, stating that Taiwan saved the U.S. chip industry rather than the reverse, and that Washington should not adopt a threatening posture toward the island nation. Speaking at the opening of Wistron's new manufacturing facility in Fort Worth, Texas, on July 21, Huang directly challenged a persistent narrative in U.S. political circles while outlining Nvidia's aggressive expansion of AI infrastructure manufacturing across America.

Why Does Huang's Defense of Taiwan Matter Right Now?

Huang's remarks come at a critical moment when U.S. policymakers have grown increasingly concerned about semiconductor supply chain vulnerabilities and Taiwan's geopolitical status. Rather than accepting the framing that the U.S. needs to pressure Taiwan into investing in American manufacturing, Huang argued that Taiwanese companies like TSMC, Foxconn, and Wistron are choosing to invest in the U.S. based on partnership and their own strategic interests. He emphasized that coercion is unnecessary and counterproductive.

The Nvidia CEO directly addressed what he called a false historical narrative. "Taiwan saved America's semiconductor industry, saved America's computer industry," Huang stated, pointing out that without Taiwan's long-term support, the U.S. chip sector might have been completely dominated by Japan, leaving companies like Nvidia, Apple, and Qualcomm far less competitive than they are today.

What Has Taiwan's Role in Chip Manufacturing Actually Become?

Huang made clear that Taiwan has fundamentally transformed from a low-cost manufacturing hub into something far more advanced. He rejected the traditional characterization of Taiwan's supply chain using the Taiwanese phrase "cheap and good," which historically emphasized low-cost advantages. Instead, Huang stressed that Taiwan now represents "advanced" manufacturing and remains highly "cost-efficient" but is absolutely not "low cost".

Taiwan now sits at the most advanced level of chip manufacturing and electronics production globally, serving as what Huang called the absolute "epicenter" of global electronics manufacturing and artificial intelligence development. As AI demand grows at an unprecedented pace, Taiwanese companies and factories are expanding rapidly, creating enormous challenges around energy supply and necessitating the deployment of supply chains globally to meet worldwide market demand.

How Is Nvidia Building Its U.S. Manufacturing Footprint?

Huang revealed that Nvidia has established a three-hub strategy for AI infrastructure manufacturing across the United States:

• California Hub: Serves primarily as a product design and engineering research and development base where Nvidia develops new AI systems.
• Arizona Hub: Handles chip-related manufacturing after products leave the California design phase.
• Texas Hub: Concentrates on AI system manufacturing and final assembly before products are supplied to AI factories across the United States.

The complexity of this manufacturing process cannot be overstated. AI supercomputers are not ordinary consumer devices. Each system weighs approximately 2 metric tons, contains 1.5 million components, and carries a value of roughly $4 million, requiring extremely high-precision manufacturing processes.

Currently, Wistron's Texas facility, known as the D1 plant, accounts for roughly 5 percent of Nvidia's total manufacturing capacity. However, because demand for AI infrastructure remains explosively strong and Nvidia's business continues to grow each year, keeping the supply chain up to speed presents an enormous challenge. Huang made an explicit commitment to expansion: "There will absolutely be a D2 plant".

What Does the Shift to "AI Factories" Mean for Global Infrastructure?

Huang articulated a broader vision of how AI is reshaping global economics and infrastructure. The world is moving from traditional data centers into what he calls the "AI Factory" era. AI is not merely about chatbots or conversational interfaces; it represents an entirely new industry category. In the future, AI factories will become indispensable infrastructure for global society, comparable to roads and power grids in their fundamental importance.

"Every enterprise will become a technology company, with AI serving as a vital source of corporate intelligence, forming trillions of dollars in new capital expenditure," Huang stated.

Jensen Huang, CEO at Nvidia

This prediction underscores why Nvidia and its manufacturing partners are investing so aggressively in U.S. capacity despite higher labor and operational costs. The anticipated scale of AI infrastructure deployment justifies the investment in building manufacturing ecosystems domestically.

How Is U.S.-Taiwan Semiconductor Cooperation Evolving?

Beyond Huang's remarks, officials from both the U.S. and Taiwan have characterized the relationship as undergoing a fundamental upgrade. During the same week as Wistron's plant opening, the American Institute in Taiwan (AIT) Director Raymond Greene stated that the U.S.-Taiwan semiconductor partnership has evolved from "co-manufacturing" to "co-innovation," built on mutual trust, complementary strengths, and a shared commitment to the future.

Greene emphasized that this is not a one-way flow of investment from Taiwan to America. American companies such as Nvidia, AMD, Qualcomm, and Intel continue to expand their presence in Taiwan, attracted by the island's world-class talent, competitive electricity costs, and innovation ecosystem that rivals any region globally.

Taiwan's representative to the U.S., Alexander Yui, provided striking data on the shift in Taiwan's investment patterns. Twelve years ago, approximately 85 percent of Taiwan's outward foreign direct investment flowed to China. Today, that share has dropped to less than 2 percent, while over 50 percent of outbound investment now flows to the United States. Wistron and Nvidia jointly advancing AI infrastructure serves as an important example of this deepening partnership.

Both nations are also jointly cultivating talent to support expanding industrial needs. The U.S. and Taiwan have established partnerships between Texas A&M University and the University of Texas System, combined with 11 Taiwanese universities of science and technology, to jointly develop science, technology, engineering, and mathematics (STEM) and semiconductor talent.

Huang's forceful defense of Taiwan's contributions to the U.S. semiconductor industry, combined with concrete evidence of expanded manufacturing investment and deepening bilateral cooperation, signals that the relationship between the two nations on semiconductors and AI infrastructure has moved beyond transactional concerns into a strategic partnership built on mutual benefit and shared technological leadership.