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Corning and NVIDIA team up to generate 3,000 new manufacturing jobs in the US

Corning and NVIDIA team up to generate 3,000 new manufacturing jobs in the US

Before the Model T was ever on the scene, and long before the Wright Brothers took flight, Corning was already paving the way for innovation that resonates today. Many Americans may recognize Corning primarily for its glassware, which has been a staple in households for generations. However, the company has also dedicated decades to developing technology that quietly impacts the modern world—from the glass used in Thomas Edison’s light bulbs to the resilient screens safeguarding millions of smartphones.

Nearly 175 years since its inception, Corning is once again at the forefront of a technological revolution. With the rise in demand for artificial intelligence infrastructure, the New York-based manufacturer is significantly increasing its fiber optics production. This technology forms the backbone of high-speed networks essential for powering AI.

In collaboration with NVIDIA, a major player in the AI boom, Corning’s expansion is projected to create around 3,000 jobs across two states. NVIDIA CEO Jensen Huang insists that AI will fundamentally transform work as we know it, and the U.S. should definitely lead this charge.

Contrary to concerns many Americans have about AI replacing human jobs, Wendell Weeks, Corning’s Chairman and CEO, suggests the opposite is true. He argues that AI is actually a tremendous job creator, particularly in manufacturing. In his words, “AI’s growth has led to unprecedented demand for our fiber optics, driving our fastest growth in nearly two centuries.”

Weeks anticipates that Corning may double in size over the next few years, with most of the new hires focused on advanced manufacturing, a significant portion of which will be based in the U.S. This growth is already manifesting on the factory floor.

Emily Kapec, a planning supervisor at Corning’s facility in Wilmington, North Carolina, remarked, “As the world evolves and tells us what it needs, we’re really on the front lines.” Her observations reflect the real-time demands extending across the industry, where the needs tied to AI platforms directly translate into a higher requirement for Corning’s products. She noted, “The factory floor feels really good.”

This sentiment aligns with a broader trend; even though much of the AI conversation tends to revolve around chipmakers and software developers, companies like Corning play a crucial role in supplying the glass technology that facilitates the connection of AI systems, thus supporting their rapid growth. Investments in this area have already spurred the establishment of new factories in the United States and the creation of American jobs.

Earlier this year, Corning teamed up with NVIDIA to establish three cutting-edge optical manufacturing plants in North Carolina and Texas, which is expected to yield over 3,000 jobs and expand Corning’s optical manufacturing capacity tenfold.

Weeks, who has collaborated with industry innovators like Steve Jobs, takes pride in partnering with Huang, emphasizing the need for fiber optics to connect all these powerful systems. He pointed out, “The common story is that AI is powered by chips, but in reality, those chips are connected by glass.”

Moreover, this AI manufacturing surge isn’t just benefiting established American companies like Corning; it’s also drawing foreign investments into U.S. manufacturing. For instance, the Taiwanese electronics manufacturer Wistron is setting up an AI supercomputer manufacturing site for NVIDIA in Texas, contributing to high-value jobs in the region.

Wistron Chairman Simon Lin commented, “Building in the U.S. is essential for speed, resiliency, and strategic advantage.” He highlighted Texas’s skilled workforce and robust industrial foundation as pivotal in developing the next generation of AI infrastructure while simultaneously creating substantial job opportunities.

As America nears its 250th anniversary, Weeks noted that the success of the nation’s next innovative chapter will depend not only on new ideas but also on the ability to manufacture those technologies domestically. “The tools change, but the approach remains the same,” he concluded.

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