AI capital expenditures are "overflowing" from GPUs to the entire industry chain! Corning Inc (GLW.US) and Qualcomm (QCOM.US) both secured significant orders on the same day, strongly endorsing confidence in data center spending.

As the surge in AI capital expenditures spreads from NVIDIA Corporation's GPUs to a broader industrial chain, two distinctly different companies glass manufacturer Corning Inc (GLW.US) and mobile chip giant Qualcomm (QCOM.US) made two significant announcements on the same day that are redefining the boundaries of AI infrastructure investment. On Tuesday, September 8, Corning Inc announced a multi-billion dollar fiber supply agreement with Verizon that will last until 2032; Qualcomm revealed it had issued $4 billion worth of warrants to Amazon.com, Inc., as part of a server chip procurement agreement potentially worth up to $60 billion with AWS. Together, these two deals send a clear signal: capital expenditures for AI data centers are overflowing from the "chip layer" to the "network transmission layer," with an increasingly long list of beneficiaries. Corning Inc: from Glass Manufacturer to "Key Player" in AI Optical Networks The agreement between Corning Inc and Verizon encompasses over 80 million miles of high-density fiber and connectivity solutions from 2027 to 2032. Verizon will utilize this order to advance two major strategies: expanding its fiber broadband coverage to 40 million to 50 million access points, and building a long-haul backbone network that connects AI hyperscale data centers. Kyle Malady, CEO of Verizon Business, stated that the company is deploying a "converged architecture" that unifies mobile connectivity and broadband into a seamless experience while constructing a backbone network with high capacity and low latency required by AI hyperscale customers. This is already the fourth significant long-term AI infrastructure agreement recently secured by Corning Inc. Previously, Corning Inc entered into a multi-year fiber supply agreement worth up to $6 billion with Meta; collaborated with NVIDIA Corporation to enhance fiber connectivity manufacturing capacity in the U.S., with NVIDIA committing to invest up to $3.2 billion in building three new fiber manufacturing plants; and signed a multi-billion dollar fiber supply agreement for data centers with Amazon.com, Inc. Corning Inc CEO Wendell Weeks previously revealed that the scale of agreements with two unnamed hyperscale customers was even "greater" than the $6 billion deal with Meta. A key statistic behind these orders is that the amount of fiber required for a single AI data center node is approximately 16 times that of traditional switches. From cloud providers to chip companies, and now telecom operators, the demand for fiber driven by AI is forming an unprecedented structural growth cycle. As a result, Corning Inc's stock price rose by 8% on Tuesday, with a cumulative increase of 90% for the year. Qualcomm: The "Key Leap" from Mobile Chips to AWS Custom Chips If Corning Inc's story reflects "AI demand spreading from chips to the periphery," then Qualcomm's narrative is about "a mobile chip company attempting to carve a niche in AI data centers." According to regulatory filings submitted by Qualcomm, the company has issued warrants to Amazon.com, Inc., allowing AWS to purchase up to 25 million shares of Qualcomm stock at a price of $161.26 per share, with a potential holding value of around $4 billion. The warrants will vest in batches according to the order amount from Amazon.com, Inc., with total orders potentially reaching up to $60 billion. This transaction is part of Qualcomm's multi-generational custom chip collaboration with Amazon.com, Inc., where both parties will jointly develop customized chips tailored for AI inference and co-develop optical interconnect solutions with speeds extending to 1.6T and beyond. Qualcomm Chief Financial Officer Akash Palkhiwala confirmed on Tuesday at a Goldman Sachs Group, Inc. conference that revenue from manufacturing chips for Amazon.com, Inc. will begin in the December quarter and will become a "core component" of the company's goal of achieving $15 billion in data center revenue by fiscal year 2029. He also revealed that Qualcomm "is advancing collaboration with another data center customer in a similar manner," suggesting that Qualcomm's list of data center customers continues to expand beyond Meta. In June of this year, Qualcomm launched the Dragonfly C1000 processor aimed at data centers, focusing on agent-based AI workloads. Bank of America Corp predicts that the global CPU market could more than double from $27 billion in 2025 to $60 billion by 2030. Qualcomm's transformation is betting on the macro trend of repricing the demand for CPUs in the era of AI inference. The "Overflow Effect" of AI Infrastructure Investment: From NVIDIA Corporation to the Entire Tech Industry Chain The simultaneous announcement of these two transactions is no coincidence. They collectively point to an accelerating structural trend: beneficiaries of AI data center spending are expanding from GPU manufacturers to a wider infrastructure industrial chain. After Tuesday's trading, Intel Corporation (INTC.US) and AMD (AMD.US) rose by 9% and 6%, respectively; Hewlett Packard Enterprise Co. (HPE.US) increased by 8%, and photonics company Coherent (COHR.US) saw a 7% rise. Year-to-date, the market values of Hewlett Packard Enterprise Co. and AMD have both doubled, while Intel Corporation's market value has nearly tripled. Goldman Sachs Group, Inc. raised its expectations for the optical module industry on the same day, with Coherent rising by 7.24%; Deutsche Bank Aktiengesellschaft initiated coverage of the AI hardware sector, naming Coherent and Lumentum as "highest conviction" AI hardware targets. The macro backdrop of this diffusion trend is that AI capital expenditures are shifting from "whether to invest" to "how much to invest." The four major CSPs in the U.S. (Microsoft Corporation, Alphabet Inc. Class C, Amazon.com, Inc., and Meta) saw capital expenditures grow by 86% year-on-year in Q2, with expectations that combined spending will exceed $886.7 billion by 2026. TrendForce has adjusted its estimates for the combined capital expenditures of the five major American CSPs and the four major Chinese CSPs to around $830 billion. Concerns Beneath Prosperity: 71% of Americans Oppose However, the fervent expansion of AI infrastructure is not without cost. A Gallup poll from May 2026 shows that 71% of Americans oppose building data centers in their communities. This social resistance sentiment has directly transformed into financial risk reportedly, Anthropic is preparing to list "public negative perceptions of AI and data centers" as a risk factor in its upcoming IPO prospectus. At the same time, the continued rise in global bond yields is also exerting substantial pressure on the financing costs for AI capital expenditures. The yield on 10-year U.S. Treasuries has risen to around 4.81%, while the 30-year yield approaches 5.25%, indicating that the future debt financing costs for AI infrastructure are rising systematically. In Summary The two transactions announced on the same day by Corning Inc and Qualcomm provide the latest evidence that investments in AI infrastructure are still accelerating in diffusion. From fiber optics to custom chips, and from telecom operators to cloud giants, the chain of beneficiaries from AI capital expenditures is extending at an unprecedented speed. As Corning Inc CEO mentioned, this 175-year-old glass company is "leading the AI revolution at the speed of light." However, the opposition of 71% of public opinion and the rising financing costs also remind the market: this feast of AI infrastructure is not without its ceiling.