The AI capital expenditure wave is rippling outward from Nvidia's GPUs into the broader supply chain, and two very different companies—glass manufacturer Corning (GLW.US) and mobile chip giant Qualcomm (QCOM.US)—announced major deals on the same day that are redefining the boundaries of AI infrastructure investment.

On Tuesday, Corning revealed a multi-billion-dollar fiber optic supply agreement with Verizon extending through 2032, while Qualcomm disclosed it had issued warrants valued at $4 billion to Amazon as part of a server chip procurement deal with AWS that could reach $60 billion. Together, these two transactions send a clear signal: AI data center capital spending is expanding from the "chip layer" to the "network transmission layer," and the list of beneficiaries is growing rapidly.

Corning: From Glass Maker to Key Player in AI Optical Networks

The agreement between Corning and Verizon covers more than 80 million miles of high-density fiber and connectivity solutions during the 2027-2032 period. Verizon will leverage this order to advance two key strategies: expanding home fiber broadband coverage to 40-50 million access points, and building long-haul backbone networks connecting AI hyperscale data centers.

This marks the fourth major long-term AI infrastructure agreement Corning has secured recently. The company has already signed a multi-year fiber supply deal with Meta valued at up to $6 billion, partnered with Nvidia to expand U.S. optical connectivity manufacturing capacity with a commitment of up to $3.2 billion for three new fiber manufacturing plants, and signed a multi-billion-dollar data center fiber supply agreement with Amazon.

Behind these orders lies a critical data point: AI data centers require approximately 16 times more fiber per node than traditional switches. From cloud providers to chip companies and now telecommunications carriers, AI's demand for fiber is creating an unprecedented structural growth cycle. Boosted by this momentum, Corning shares rose 8% on Tuesday and are up 90% year-to-date.

Qualcomm: The Pivotal Leap from Mobile Chips to AWS Custom Silicon

While Corning's story illustrates AI demand spreading from chips to peripherals, Qualcomm's narrative is about a mobile chip company attempting to carve out a presence in AI data centers. According to regulatory filings, Qualcomm has issued warrants to Amazon allowing AWS to purchase up to 25 million Qualcomm shares at $161.26 per share, representing a potential stake valued at approximately $4 billion. The warrants will vest in tranches based on Amazon's order volume, with total orders potentially reaching $60 billion.

This transaction is part of a multi-generational custom chip partnership between Qualcomm and Amazon, involving the joint development of custom chips for AI inference and optical interconnect solutions extending to 1.6T and higher specifications. Qualcomm CFO Akash Palkhiwala confirmed at a Goldman Sachs conference that revenue from manufacturing chips for Amazon will begin in the December quarter and will serve as a "core component" of the company's goal to reach $15 billion in data center revenue by fiscal 2029.

He also revealed that Qualcomm is "advancing similar discussions with another data center customer," suggesting the company's data center client list continues to expand beyond Meta. In June, Qualcomm launched its Dragonfly C1000 processor targeting data centers, focused on agentic AI workloads. Bank of America projects the global CPU market could more than double from $27 billion in 2025 to $60 billion by 2030, and Qualcomm's transformation bets on the repricing of CPU demand in the AI inference era.

The Spillover Effect of AI Infrastructure Investment: From Nvidia to the Entire Tech Supply Chain

The simultaneous announcement of these two deals is no coincidence. Together, they point to an accelerating structural trend: the beneficiaries of AI data center spending are spreading from GPU manufacturers to the broader infrastructure supply chain. In after-hours trading Tuesday, Intel and AMD rose 9% and 6% respectively, Hewlett Packard Enterprise climbed 8%, and photonics company Coherent advanced 7%. Year-to-date, both HPE and AMD have doubled in market value, while Intel's market cap has nearly tripled.

Goldman Sachs upgraded its optical module industry outlook the same day, with Coherent closing up 7.24%, while Deutsche Bank initiated coverage of the AI hardware sector, naming Coherent and Lumentum as its "highest conviction" AI hardware picks. The macro backdrop for this diffusion is that AI capital spending has moved from "whether to invest" to "invest as much as possible." The four major U.S. CSPs—Microsoft, Google, Amazon, and Meta—saw combined second-quarter capital expenditures grow 86% year-over-year, with projections suggesting they will exceed $886.7 billion in 2026. TrendForce has raised its combined capital expenditure estimate for the five major U.S. CSPs plus four Chinese companies to approximately $830 billion.

Concerns Beneath the Boom: 71% of Americans Opposed

However, the feverish expansion of AI infrastructure is not without costs. A Gallup poll from May 2026 shows that 71% of Americans oppose data center construction in their communities. This social resistance has already translated into financial risk—Anthropic is reportedly preparing to list "negative public sentiment toward AI and data centers" as a risk factor in its upcoming IPO prospectus. Meanwhile, rising global bond yields are putting tangible pressure on AI capital expenditure financing costs. The 10-year U.S. Treasury yield has climbed to around 4.81%, with the 30-year approaching 5.25%, meaning the cost of debt financing for future AI infrastructure is systematically rising.

Summary

The two deals announced by Corning and Qualcomm on the same day provide the latest evidence that AI infrastructure investment continues to accelerate and broaden. From fiber optics to custom chips, from telecom carriers to cloud giants, the beneficiary chain of AI capital spending is extending at unprecedented speed. As Corning's CEO noted, this 175-year-old glass company is "leading the AI revolution at the speed of light." But the 71% public opposition and rising financing costs serve as a reminder that this AI infrastructure boom is not without its limits.