That reality is unfolding right now as Corning launches major expansion projects across the United States.
Founded in 1851, Corning has played a critical role in some of the most important technological breakthroughs in American history. The company supplied glass for early electric light bulbs and later became a leader in fiber-optic technology that helped build the modern internet.
Today, Corning is once again at the center of a technological transformation.
Speaking with Fox News, Weeks pushed back against the widespread narrative that AI is primarily a threat to workers.
“AI is a huge job creator, and it’s a huge manufacturing job creator.”
Weeks believes the growth ahead could be unlike anything the company has experienced in its long history.
He noted that Corning is expanding at a pace rarely seen in a business that has operated for nearly two centuries.
“As a 175-year-old company, we’re going through our fastest growth period,” Weeks said.
That growth is being fueled by an unprecedented demand for infrastructure supporting AI systems, data centers, and advanced computing networks.
One major catalyst came earlier this year when NVIDIA partnered with Corning in a deal that could dramatically expand domestic manufacturing capacity.
NVIDIA CEO Jensen Huang committed an initial $500 million investment into the company, with the possibility of increasing that figure substantially in the future.
The partnership is helping fund new manufacturing facilities in North Carolina and Texas that are expected to generate more than 3,000 American jobs.
The expansion is significant.
Corning’s optical manufacturing output inside the United States is expected to increase dramatically, while domestic fiber production will rise substantially as demand continues to surge.
Much of the public conversation surrounding AI focuses on semiconductor chips and advanced processors. While those components are certainly essential, Weeks emphasized that the physical networks connecting those processors are just as important.
“The common story is AI being powered by chips, but actually, those chips are connected by glass,” he said.
That simple observation highlights a reality often ignored in discussions about AI.
Massive data centers require enormous amounts of fiber-optic infrastructure. Every server, processor, and computing cluster must be linked together through sophisticated networking systems. Those systems require manufacturing plants, skilled workers, engineers, technicians, and construction crews.
In other words, AI is creating demand far beyond software development.
Jensen Huang echoed that point when discussing the future of American industry.
“AI is driving the largest infrastructure buildout of our time – and a once-in-a-generation opportunity to reinvigorate American manufacturing and supply chains.”
The comments stand in sharp contrast to years of predictions that automation and artificial intelligence would inevitably destroy industrial employment.
Americans have heard similar warnings before.
Critics made comparable claims during the rise of personal computers, industrial automation, and the internet. Yet each technological leap ultimately generated entirely new industries and millions of jobs that previously did not exist.
Supporters of America’s manufacturing resurgence argue that AI may follow the same pattern.
Palantir CTO Shyam Sankar has repeatedly argued that AI increases worker productivity rather than replacing workers outright. Higher productivity can reduce costs, improve competitiveness, and make it more practical for companies to move production back to the United States instead of relying on overseas supply chains.
Recent economic developments appear to support that view.
The Trump administration has prioritized domestic AI development and manufacturing expansion through a series of policy changes aimed at reducing regulatory obstacles and encouraging private-sector investment.
Those efforts have coincided with major investment announcements from technology firms and manufacturers seeking to expand their American footprint.
The trend extends beyond Corning.
Taiwanese electronics manufacturer Wistron recently announced plans to build AI supercomputers in Texas, further highlighting the growing interest in domestic production.
As Wistron Chairman Simon Lin explained, “Building in America is essential for speed, resilience and strategic advantage.”
Taken together, these developments paint a picture that looks very different from the dire warnings often associated with artificial intelligence.
Rather than replacing American workers, companies across multiple industries are investing billions of dollars into new factories, supply chains, and manufacturing facilities designed to support the AI economy.
For Corning, that means expanding production, hiring workers, and entering one of the strongest growth periods in the company’s 175-year history.
For many American communities, it could mean something even more important: the return of high-paying manufacturing jobs that critics long claimed were gone for good.
