Fiber optic cable manufacturer Corningsaw its share price surge 10.84% on Monday, closing at $207.21 and nearing its 52-week high of $209.21. Previously, Bank of America analysts included the glass and optical fiber giant in its US No.1 List, namely the bank’s preferred stock roster, extending the upward momentum driven by its deal with NVIDIA concluded last week.
It is no longer only chip manufacturers that capture investors’ attention. With a substantial rise in spending on AI infrastructure, enterprises offering optical fibers and optical connectors such as Corning have moved into the spotlight. Such products enable fast and large-scale data transmission within large-scale AI data centers, where processors are handling massive volumes of data workloads.
Corning’s share price has surged more than 130% in half a year.
NVIDIA Takes Stake in Corning: A Mutual Alliance Between AI Computing Power and Optical Communications
Corning and NVIDIA unveiled a multi-year commercial and technical cooperation on May 6, aiming to expand the manufacturing of advanced optical connectivity products for AI infrastructure within the United States. Corning plans to expand its domestic optical connectivity production capacity tenfold, while U.S. optical fiber output is expected to grow by more than 50%.
The two companies announced they will build three new advanced manufacturing facilities — two in Texas and one in North Carolina — creating over 3,000 jobs. NVIDIA CEO Jensen Huang described AI as “the greatest infrastructure build of our era”. Corning’s Wendell Weeks remarked that this is not merely a technology story, but also a “manufacturing story”.
According to a securities filing, NVIDIA subscribed to Corning’s warrants with a total investment of $500 million. The deal grants NVIDIA the option to purchase up to 15 million Corning shares at an exercise price of $180 per share, alongside an additional 3 million pre-funded warrants settled at a nominal exercise price.
Jensen Huang and Wendell Weeks told media last week that the actual financial support may exceed the initially disclosed amount. Beyond equity-linked investments, NVIDIA has poured billions of US dollars into supporting Corning’s factory construction.
The Gatekeeper of AI Optical Communications Earns Bullish Consensus on Wall Street
Following the news of NVIDIA’s equity investment in Corning, Wall Street analysts have maintained a broadly positive stance, viewing the move not only as a turning point for Corning but also a pivotal signal reshaping the supply chain landscape of AI infrastructure.
Bank of America added Corning to its preferred stock list earlier on Monday. Prior to this, multiple Wall Street institutions had lifted the stock’s price targets: Oppenheimer raised its target to $210, UBS to $223, and Citi to $225.
Currently, Wall Street’s average price target for Corning stands at approximately $202, with a median of $210 and the highest target reaching $230. This unanimous bullish sentiment reflects strong institutional recognition of Corning’s transformation from a traditional glass manufacturer to a core supplier of AI optical communications infrastructure.
Oppenheimer analyst Martin Yang reiterated an Outperform rating, noting that through in-depth integration with ecosystem leaders including NVIDIA, Broadcom, Meta and Microsoft, Corning has established itself as a critical infrastructure provider for generative AI data center construction. He pointed out that the transition toward Co-packaged Optics (CPO) and large-scale data center solution offerings serves as the core valuation driver, with corporate business scale poised to expand 2 to 3 times by 2030.
Citi analyst Asiya Merchant maintained a Buy rating, emphasizing that each AI accelerator carries an optical connection value of approximately $500 to $1,000, with further upside potential alongside CPO deployment. She specifically highlighted Corning’s cooperation with Microsoft in the field of hollow-core optical fiber, as well as customers’ clear commitments to investing in its capacity expansion, both validating robust and sustained market demand.
Analysts generally agree that NVIDIA’s multi-billion-dollar financial support not only eliminates Corning’s financial risks in capacity expansion, but also secures its dominant position in the optical communications market via targeted capacity lock-in.
Despite lingering weakness in consumer electronics businesses such as smartphones, the 36% growth of its optical communications segment and the raised annual sales target of $200 billion have become the core driving force propelling its stock toward record highs. As AI computing clusters evolve toward the ten-thousand-GPU scale, Wall Street is revaluing Corning’s status as the physical layer gatekeeper.
Corning has upgraded its Springboard growth initiative. It now projects an annual sales run rate of $20 billion by the end of 2026, with further targets set at $30 billion for 2028 and $40 billion for 2030. An annual sales run rate refers to the annualized sales level if current or projected quarterly performance is sustained.
Strong first-quarter performance has bolstered bullish sentiment. Corning reported core sales — its preferred non-GAAP metric — rose 18% to $4.35 billion. Core earnings per share (EPS) grew 30% to $0.70. The optical communications business delivered robust growth of 36%, while the solar energy business surged 80%.
The upsurge is not limited to Corning alone. As the market chases the AI data center bandwidth theme, optical networking stocks including Lumentum and Coherent also rallied sharply. Corning is now categorized as an AI infrastructure supplier, rather than merely a traditional glass manufacturer.
The Moat of Optical Communications
Corning is no newcomer to the optical communications industry. As a century-old materials science giant, the company invented low-loss optical fiber back in the 1970s, laying the technical foundation for modern optical communications. Inside AI data centers, when thousands of GPUs process massive parameter volumes, the transmission distance and bandwidth of electrical signals have hit physical limits, making optical interconnection the only viable solution.
Corning’s core competitive advantage lies in its end-to-end vertical integration capability from glass to system: it manufactures not only optical fiber preforms and optical fibers, but also key components such as optical connectors and couplers, delivering full-stack optical connectivity solutions.
This complete industrial chain layout translates into substantial capacity and cost advantages in the AI era. In accordance with the disclosed cooperation plan, Corning will expand its U.S.-based optical connectivity capacity tenfold and increase domestic optical fiber output by over 50%, with three new advanced manufacturing plants to be built in Texas and North Carolina. Such aggressive capacity expansion is built on Corning’s profound accumulation of manufacturing expertise — optical communications products demand ultra-high precision, a threshold that new market entrants cannot replicate in the short term.
Notably, Corning has reached a performance inflection point. Its optical communications business revenue jumped 36% year-on-year in the first quarter of 2026, indicating substantial actual delivery of AI infrastructure demand. This marks Corning’s evolution from a traditional glass manufacturer into a core supplier of AI infrastructure.
Traditional Businesses May Act as a Drag
Nevertheless, challenges remain. Corning’s non-optical business segments show unbalanced performance. Market sources pointed out last month that slow electronic product upgrades and sluggish smartphone demand continue to weigh on certain business divisions. For the second quarter, Corning projects core sales of approximately $4.6 billion, slightly below analyst consensus expectations.
In addition, Corning faces multiple potential risks: AI-driven orders may lag behind market expectations, factory construction cycles may take longer than scheduled, and major cloud buyers may adjust capital expenditure budgets. Factors including fluctuating market demand, intensified competition, supply chain volatility, policy support shifts and capital expenditure reallocation may all cause its actual performance to deviate from forecasts.
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