Since the artificial intelligence (AI) revolution began in late 2022, chipmaker Nvidia (NASDAQ: NVDA) has seen its shares soar more than 700% as it dominated the market for high-end AI processors.
But AI has boosted more than just chipmaker stocks. It’s even supercharged legacy manufacturers whose businesses once had little or nothing to do with computer components or software. And one such company just scored a major win in the form of a partnership with Nvidia.
Will AI create the world’s first trillionaire? Our team just released a report on the one little-known company, called an “Indispensable Monopoly” providing the critical technology Nvidia and Intel both need. Continue »
Here’s how 175-year-old U.S. manufacturer Corning (NYSE: GLW) went from market loser to AI-powered market crusher and what the massive new Nvidia partnership means for shareholders in both companies.
Image source: Getty Images.
What Corning did
Corning is a glass company, best known for its shatter-resistant Corningware plates and dishes. However, the company sold that business (along with its other kitchenware brands, such as Pyrex) in 1998.
Today, Corning specializes in high-tech glass products, including shatter-resistant Gorilla Glass for smartphones and other touchscreen devices, as well as display glass for LCD TVs. But for almost a decade, its biggest revenue generator has been fiber-optic cable.
And for almost a decade, that business was one of the company’s worst performers.
More money, more problems
Corning’s stock also performed terribly from 2015 to 2023. During those nine years, it rose just 32.8%. Even if you factor in dividend reinvestments, Corning’s stock only went up 69.3% on a total return basis. That badly trailed the S&P 500‘s 174% total return over the same time frame.
During that time, Corning’s optical communications division was its fastest-growing, thanks to the rollout of fiber-optic TV and internet connections. Sadly, it had one of the worst profit margins in the entire company, ranging from about 10% to 15%.
That all changed with the advent of AI. Because fiber-optic cables are so good at transmitting large amounts of data at high speeds, they were the obvious choice for data-hungry AI applications. Suddenly, Corning’s fiber-optic cables, which the company had been optimizing for non-AI data centers since 2018, were in extremely high demand.
And in very short supply.
Image source: Nvidia.
How Nvidia stepped in
Corning is currently churning out fiber-optic cable at maximum capacity… and selling it all as fast as it’s made, at a robust 21% profit margin. But the demand from hyperscalers keeps growing. And because Corning is the world’s largest manufacturer of fiber-optic cable and supplies the bulk of the North American market, that was turning into a big problem.
So last week, Nvidia announced a multiyear partnership effort with Corning that will “dramatically expand U.S.-based manufacturing of the advanced optical connectivity solutions needed to power next-generation AI infrastructure.”
The partnership will result in Corning increasing its U.S.-based fiber production capacity by more than 50% and its U.S. optical connectivity manufacturing capacity by 1,000%. As part of the effort, it will build three new advanced manufacturing facilities in North Carolina and Texas. Once completed, they will provide optical connectivity to hyperscale data centers powered by Nvidia GPUs.
As Nvidia explained in a press release, “Modern AI workloads require thousands of Nvidia GPUs — requiring unprecedented volumes of high-performance optical fiber, connectivity, and photonics to move data at extraordinary speed and scale. As AI factories grow larger and more numerous, optical connectivity becomes an important component of the AI infrastructure.”
What it means for investors
With large-scale data transmission such a key component of AI systems, it’s natural that Nvidia — the leading manufacturer of AI processors — would want to ensure a plentiful supply so its own sales of AI data center processors aren’t hurt by a lack of available communication cables to connect them.
This announcement should give investors confidence that Nvidia sees the AI data center building boom as a long-term trend, rather than a short-term fad. And by locking in a partnership with the leading fiber-optic cable manufacturer, Nvidia helps cement the status of both companies as the go-to suppliers of AI data center components.
For Corning shareholders, who have already seen their stock appreciate 137% year to date, the partnership should ease concerns about manufacturing constraints that could hamper future growth. It should also offer investors confidence that the deep-pocketed AI hyperscalers will continue to spend their money on Corning’s products rather than looking elsewhere.
Even so, with a trailing price-to-earnings (P/E) ratio of 100, and a forward P/E of 65, Corning’s stock is now looking pretty expensive; more than twice as expensive as Nvidia’s, in fact! As a result, investors deploying new money into AI stocks may want to consider Nvidia over Corning.
Should you buy stock in Nvidia right now?
Before you buy stock in Nvidia, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.
Consider when Netflix made this list on December 17, 2004… if you invested $1,000 at the time of our recommendation, you’d have $469,293!* Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,381,332!*
Now, it’s worth noting Stock Advisor’s total average return is 993% — a market-crushing outperformance compared to 207% for the S&P 500. Don’t miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
John Bromels has positions in Corning and Nvidia. The Motley Fool has positions in and recommends Corning and Nvidia. The Motley Fool has a disclosure policy.
Gilead Sciences, Inc. (NASDAQ:GILD) is one of the 10 Safest Dividend Stocks to Buy Right Now. Gilead (GILD) to Showcase New Cancer Therapy Data On May 21, 2026, Gilead Sciences, Inc. (NASDAQ:GILD) announced that the…
Find out how much you could earn with today’s money market account rates. The Federal Reserve cut its target rate three times in 2025. So deposit rates — including money market account (MMA) rates —…
Saving money can feel overwhelming when your budget is already stretched thin. But the “penny-a-day” savings challenge proves that building a savings habit doesn’t always require drastic lifestyle changes. If you want to start saving…
Contains information related to marketing campaigns of the user. These are shared with Google AdWords / Google Ads when the Google Ads and Google Analytics accounts are linked together.
90 days
__utma
ID used to identify users and sessions
2 years after last activity
__utmt
Used to monitor number of Google Analytics server requests
10 minutes
__utmb
Used to distinguish new sessions and visits. This cookie is set when the GA.js javascript library is loaded and there is no existing __utmb cookie. The cookie is updated every time data is sent to the Google Analytics server.
30 minutes after last activity
__utmc
Used only with old Urchin versions of Google Analytics and not with GA.js. Was used to distinguish between new sessions and visits at the end of a session.
End of session (browser)
__utmz
Contains information about the traffic source or campaign that directed user to the website. The cookie is set when the GA.js javascript is loaded and updated when data is sent to the Google Anaytics server
6 months after last activity
__utmv
Contains custom information set by the web developer via the _setCustomVar method in Google Analytics. This cookie is updated every time new data is sent to the Google Analytics server.
2 years after last activity
__utmx
Used to determine whether a user is included in an A / B or Multivariate test.
18 months
_ga
ID used to identify users
2 years
_gali
Used by Google Analytics to determine which links on a page are being clicked
30 seconds
_ga_
ID used to identify users
2 years
_gid
ID used to identify users for 24 hours after last activity
24 hours
_gat
Used to monitor number of Google Analytics server requests when using Google Tag Manager