Zayo locks up Corning fiber capacity for its 15,000 route-mile network expansion through 2030.

The agreement secures a material portion of the fiber Zayo requires for its planned 15,000 route-mile network expansion through 2030. Telecommunications firm Zayo has reserved manufacturing capacity with Corning for a material portion of the fiber it anticipates needing through 2030. This secures its plans to construct 15,000 route miles of new and overbuilt infrastructure as artificial intelligence drives demand for data center connectivity.

The deal covers part of the carrier’s broader funded network expansion, encompassing 28 routes currently in progress or newly initiated—comprising 10 new routes and 18 overbuilds. According to network statistics Zayo shared following a Data Center Knowledge interview with Chief Network Officer Troy Lupe, these projects total 15,000 new or overbuilt route miles and 20 million new or overbuilt fiber miles.

While Zayo has not yet faced a material fiber shortage, Lupe noted emerging signs of future supply constraints as network demand accelerates. “I think we’ve seen some concerning signals,” Lupe said. “We have not really experienced material issues, but I think that, if you look at the amount of demand coming, the amount of historical demand needed, it takes time to build factories across the stack.”

Historically, Zayo procured fiber on a project-by-project basis, despite long-haul construction requiring years of advance planning. The expanded Corning agreement grants Zayo supply visibility through at least 2030, allowing both companies to align manufacturing capacity with Zayo’s projected requirements. “We’re reserving capacity with them,” Lupe said. “We’re planning with them so that they’re opening the manufacturing lines and buying the supplies they need to deliver all of this fiber.”

The partnership arrives as Corning solidifies its role in the physical infrastructure underpinning AI networks. The company has secured major optical supply agreements with Meta and Amazon and partnered with Nvidia to expand U.S. optical manufacturing capacity. Corning’s Optical Communications division reported 36% year-over-year growth in the first quarter. A Corning spokesperson declined to disclose additional details regarding the customer agreement but emphasized the company’s policy of manufacturing near key markets to ensure reliable supply and service. Corning operates two of the world’s largest optical fiber and cable manufacturing facilities in North Carolina, underscoring its substantial domestic production footprint.

Ron Westfall, vice president and practice lead for networking and infrastructure at HyperFrame Research, noted that AI infrastructure development is elevating fiber availability to a critical physical constraint, alongside power and other utilities required for data center construction. “High-count fiber optic cabling has rapidly emerged as a secondary, structural constraint,” Westfall told Data Center Knowledge, citing the multi-terabit connectivity required between distributed AI facilities and data centers. Westfall also highlighted the growing necessity for geographically diverse routes as AI campuses expand beyond traditional telecommunications hubs. Securing long-term fiber commitments helps shield network construction schedules, particularly as operators plan projects years in advance.

Jimmy Yu, vice president at Dell’Oro Group, observed that Zayo is proactively expanding ahead of visible demand, anchored by its Nvidia agreement covering 8,000 of the company’s 15,000 planned route miles. “I think Zayo is being proactive in building the fiber network that would be needed for the future AI infrastructure needs in the US,” Yu said. “I’m sure the agreement with Nvidia for 8,000 of that 15,000 route miles gives the company added confidence in the future demand for capacity.” Yu noted that AI does not necessitate a fundamentally different long-haul network architecture; rather, the scale and design of the infrastructure are evolving. “The main difference is that the amount of fiber per conduit will need to be in the hundreds, if not thousands,” Yu said. AI networks also demand greater path diversity for resiliency, direct routing to minimize latency between data centers, and fewer add/drop points along transmission routes, Yu added.

Broader market indicators already reflect this surge. According to Dell’Oro, optical transport equipment revenue grew 15% year over year in the second quarter, while data center interconnect revenue from WDM systems and IPoDWDM optics jumped 45%. Yu noted that demand remains robust between adjacent data centers and across long-distance backbones, particularly throughout North America.

Zayo’s wider expansion encompasses engineering, permitting, and construction phases. Its collaboration with Nvidia comprises 24 of the 28 routes in the overall buildout. This specific program includes six new routes, 10 overbuilds, and eight upgrades to existing fiber routes, totaling 8,000 new or overbuilt route miles and 15 million new or overbuilt fiber miles. Lupe confirmed that Zayo has completed four routes this year and anticipates delivering four more by the end of 2026. The Nvidia-related projects are at varying stages of development, with most still in engineering and several undergoing environmental review and permitting. While some capacity is being deployed this year, the bulk of the Nvidia buildout is expected over the next several years. Lupe identified permitting and cross-jurisdictional construction as the primary remaining execution risks. Although Zayo has previously constructed or overbuilt infrastructure in many of these regions, regulatory requirements continue to vary significantly depending on right-of-way access and local permitting authorities. With fiber supply now secured, Zayo can concentrate its efforts on navigating these final construction and permitting hurdles.

AI traffic does not mandate a fundamentally different type of fiber. The distinction lies in the sheer volume of data exchanged between machines. “It’s machines talking to machines, and they’re transferring a lot more data than humans talking to humans or humans talking to machines,” Lupe said. Zayo is also witnessing heightened demand for physically diverse network paths between critical facilities, as AI operators prioritize outage mitigation. Lupe characterized this requirement as demand for “triversity” and “quadversity,” denoting the need for three or four distinct physical routes between network endpoints.

The proliferation of new compute facilities is also directing Zayo into markets it historically avoided, contingent upon power availability. This shift is generating demand for north-south and east-west long-haul routes, especially in regions where existing corridors suffer from limited capacity or insufficient physical diversity. Yu noted that Zayo’s initiative reflects a broader wave of network construction by communications service providers supporting the AI infrastructure buildout. “As more new data centers get built, more new fiber routes will also be deployed,” Yu said.

Network requirements may evolve as AI workloads transition from training to inference. Most current AI infrastructure investment remains tied to training workloads, Lupe said. While Zayo is beginning to observe inference activity within metropolitan areas, personalized AI-generated content could significantly increase traffic flows between end users and compute facilities. Today, much digital content can be cached relatively close to users. In contrast, AI-generated content may necessitate more direct connections between users and remote computing locations. “If that potentially starts to change, that could materially change the demands inside the metros,” Lupe said. This potential shift provides Zayo with further justification to prioritize capacity and route diversity as it expands its long-haul network through 2030.