Nvidia has secured a dominant share of the world’s most advanced chip packaging capacity, concentrating its supply chain around a small number of overseas partners even as U.S. government efforts to build domestic alternatives remain years from reaching meaningful scale. The gap between Nvidia’s aggressive capacity commitments and the pace of American investment creates a tension that touches AI development, national security, and the competitive position of every other company trying to buy cutting-edge semiconductors.
What is verified so far
Nvidia’s dependence on a tight cluster of manufacturing partners is not speculation. The company’s own annual report filed with the SEC states that its production is concentrated and relies on TSMC along with a limited number of advanced packaging and assembly suppliers. That disclosure language signals real supply chain risk. If any single partner faces disruption, Nvidia’s ability to deliver its highest-performance AI accelerators could stall. The filing treats this concentration as a material factor for investors, not a routine footnote.
The specific packaging technology at the center of this bottleneck is TSMC’s Chip-on-Wafer-on-Substrate process, known as CoWoS. This method bonds multiple chiplets onto a single silicon interposer, enabling the kind of high-bandwidth memory integration that powers Nvidia’s data center GPUs. Research firm TrendForce has published estimates of Nvidia’s share of TSMC CoWoS output and projected TSMC’s monthly CoWoS capacity by the end of 2025. Those figures, while based on analyst modeling rather than TSMC’s own disclosure, point to Nvidia consuming a majority of available CoWoS slots, leaving competitors with limited room to scale their own AI hardware.
On the U.S. government side, the numbers are concrete but modest relative to the scale of Asian packaging infrastructure. The Department of Commerce finalized $1.4 billion in awards under the National Advanced Packaging Manufacturing Program, or NAPMP. The stated goal is to establish high-volume domestic advanced packaging capability, a segment of chipmaking that the United States has largely ceded to firms in Taiwan, South Korea, and Southeast Asia over the past two decades. The program is designed to fund pilot lines, shared infrastructure, and early commercial facilities that can anchor a broader ecosystem of suppliers and customers.
A separate award, announced in late 2024, directed up to $407 million in CHIPS Act incentives to Amkor Technology for a facility in Peoria, Arizona. That project involves roughly $2 billion in total investment and approximately 2,000 manufacturing jobs. The Amkor facility is designed to bring end-to-end chip production to U.S. soil, including the final packaging and testing steps that currently happen almost entirely overseas. If completed as described, it would represent one of the first large-scale, commercially oriented advanced packaging plants in the country, not just a research or prototyping site.
What remains uncertain
Several critical details remain unconfirmed by any primary source. Neither Nvidia nor TSMC has publicly disclosed the exact contract terms governing Nvidia’s capacity reservations. The TrendForce estimates of Nvidia’s CoWoS share and TSMC’s projected monthly capacity are based on the research firm’s own modeling, not on audited production data. That distinction matters because small changes in assumptions about yield rates, customer mix, or TSMC’s expansion timeline could shift the numbers meaningfully. TrendForce is a respected industry tracker, but its figures should be treated as informed estimates rather than verified production statistics.
The timeline for U.S. packaging facilities to reach production-grade output is also unclear. The Commerce Department’s announcements confirm funding commitments and investment totals, but they do not include binding milestone dates for when the Amkor Arizona facility or other NAPMP-funded projects will begin volume production. Building and qualifying an advanced packaging line typically takes several years from groundbreaking to stable output, and the gap between award announcement and first commercial wafer can stretch further if workforce training, equipment delivery, or permitting encounters delays.
No public statement from Nvidia executives directly addresses how the company’s supply concentration affects pricing for its customers or the ability of rivals like AMD or Intel to secure their own packaging capacity. Analyst commentary fills some of that gap, but it remains interpretation rather than confirmed corporate strategy. Similarly, no U.S. government or academic institution has published a study quantifying the precise shortfall between current domestic packaging output and the volume Nvidia alone requires. Without that baseline, claims about how far the U.S. trails demand rest on inference rather than measurement.
Another open question is how flexible Nvidia’s arrangements with its overseas partners actually are. If demand for AI accelerators cools, or if alternative packaging technologies emerge, it is unclear whether Nvidia could quickly scale down its use of CoWoS capacity or reallocate it among different product lines. The lack of public detail on pricing, minimum purchase commitments, and duration of contracts makes it difficult for outside observers to assess how much financial risk Nvidia carries alongside its operational dependence.
How to read the evidence
The strongest evidence in this story comes from two types of primary documents. First, Nvidia’s SEC filing provides direct, legally binding language about the company’s manufacturing concentration. Corporate annual reports carry legal weight because material misstatements expose the filer to securities fraud liability, making them more reliable than press interviews or analyst calls. When Nvidia says its production depends on TSMC and a small set of packaging suppliers, that is a disclosure the company’s lawyers reviewed and approved.
Second, the Commerce Department press releases confirm specific dollar amounts, program names, and facility locations for the U.S. buildout. These are official government records, not leaked drafts or unnamed-source reporting. The $1.4 billion NAPMP figure and the $407 million Amkor award are finalized numbers, not proposals. They represent binding commitments of federal funds, though they do not by themselves guarantee that the resulting facilities will operate at full capacity or on schedule. Readers should distinguish between money appropriated and manufacturing capability actually delivered.
The TrendForce data occupies a middle tier of reliability. It is published under the firm’s name with specific methodological context, which makes it more accountable than anonymous analyst chatter. But it is not primary production data. Readers should treat TrendForce’s CoWoS capacity and share estimates as the best available approximation rather than confirmed fact, and watch for updates as TSMC reports its own capital expenditure and capacity figures in quarterly earnings. Discrepancies between TrendForce projections and any future disclosures from TSMC would be an important signal that underlying assumptions have shifted.
What is notably absent from the public record is any direct comparison, from either government or industry, measuring how much advanced packaging capacity the U.S. would need to reduce its dependence on overseas providers to a level policymakers consider acceptable. The Commerce Department has articulated goals around resilience and supply chain security, but it has not published a quantitative target for domestic packaging share or a detailed roadmap showing how NAPMP awards, Amkor’s facility, and other initiatives add up to that goal.
For readers trying to make sense of the situation, a few practical guidelines help. Treat any precise percentage claims about Nvidia’s share of CoWoS capacity as estimates unless they are explicitly attributed to a primary source. Give more weight to documents that carry legal or budgetary consequences, such as SEC filings and federal grant announcements, than to generalized commentary about “capacity crunches” or “bottlenecks.” And remember that timelines are often the least reliable part of early-stage industrial policy. Funding can be real while the promised output remains years away.
Seen through that lens, the verified facts support a cautious but clear conclusion. Nvidia has built its AI hardware dominance on a highly concentrated manufacturing base centered on a few overseas partners using specialized packaging technology. The United States has begun to invest in domestic alternatives, but the scale and timing of those efforts lag far behind the demand that Nvidia and its competitors are creating. Until more concrete data emerges on actual production ramp-ups in Arizona and other U.S. sites, the balance of power in advanced packaging will remain firmly tilted toward Asia, and Nvidia’s grip on that capacity will continue to shape who can compete in the AI hardware race.
More from Morning Overview
*This article was researched with the help of AI, with human editors creating the final content.
