Verizon announced a $1 billion agreement with Google to supply dark fiber for data center connectivity, positioning itself as a key player in AI infrastructure. The deal, revealed during a July 2026 earnings call, is part of broader plans for “AI Connect” initiatives and potential future revenue streams exceeding billions.
Verizon’s $1 billion agreement with Google to provide dark fiber for data center connectivity has positioned the telecom giant as a central player in the AI infrastructure boom. The deal, disclosed during the company’s second-quarter 2026 earnings call, marks a significant shift in Verizon’s strategy, leveraging its existing fiber network to meet surging demand for high-speed, low-latency connectivity. The agreement, described by CEO Dan Schulman as well in excess of $1 billion,
is the first of what he called multiple billions of dollars in revenue over the next several years
from AI-related infrastructure projects.
A Strategic Bet on AI Infrastructure
The deal underscores Verizon’s pivot toward AI-driven services, with Schulman emphasizing the need to connect data center to data center to assure that you can optimize to maximize the ever-exploding need for compute.
Dark fiber, which provides unlit, unmanaged fiber optic cables for customers to use their own equipment, is critical for hyperscalers like Google, which require customizable and high-capacity networks. Verizon’s CEO highlighted that the agreement is part of a broader “AI Connect” initiative, which includes retrofitting central offices into remote data centers to support edge computing applications such as autonomous robotaxi fleets or robotics applications.
We have other deals that we expect to announce by year end that, taken together, are expected to be worth multiple billions of dollars in revenue over the next several years,
Schulman said during the earnings call. The statement suggests Verizon is not only capitalizing on Google’s demand but also positioning itself to secure additional contracts with other tech firms and enterprises. This aligns with the company’s long-term vision of leveraging its carrier-grade, low-latency, highly resilient transport network
to meet the needs of hyperscalers and edge computing clients.
Retrofitting Infrastructure for the Edge
Verizon’s strategy extends beyond dark fiber to include repurposing its existing infrastructure. Schulman revealed that the company is retrofitting many of our central offices into data centers for inference edge computing,
a move aimed at addressing the growing demand for ultra-low-latency applications. These remote data centers
are designed to support AI-driven services such as autonomous robotaxi fleets or robotics applications, which require real-time processing capabilities. The initiative builds on Verizon’s mobile edge compute (MEC)
thesis, which has been a long-term focus for the company.
The retrofitting process involves removing copper wiring from central offices and converting them into power-ready, permitted facilities. A small-scale trial of this approach sold out within 24 hours, indicating strong market interest. We have thousands of central offices, many of which we're taking copper out of, and we are retrofitting them to be remote data centers that are power ready, permitted, fully redundant infrastructure,
Schulman said. This effort highlights Verizon’s ability to repurpose its legacy assets for modern AI and edge computing needs.
CEO’s Vision: Beyond Data Centers
Schulman’s remarks during the earnings call painted a broader picture of Verizon’s role in the AI ecosystem. He emphasized the rising demand for inference edge computing,
where AI models are processed closer to the data source rather than in centralized data centers. There’s an equal amount of desire and demand to power inference models and applications that need ultra-low latency, like robotics or remote surgery, autonomous driving, and move that out into the edge,
he said. This shift reflects a growing trend among enterprises and hyperscalers to decentralize computing workloads.
The CEO also pointed to Verizon’s decades-long investment in fiber infrastructure as a key differentiator. We built that infrastructure for a different era, but it has turned out to be exactly the right asset for this one,
he said. This statement underscores the company’s confidence in its existing network, which it claims is now in tremendous demand
for AI-related connectivity. However, Schulman acknowledged that managing this demand will require careful planning. The demand for these fiber routes that we currently have and that we are building is ultimately limited, and that capacity and pricing is… we're going to have to think about how we handle the demand for that,
he added.
Market Reactions and Future Outlook
However, the company has remained quiet about its recent job cuts, a topic that was notably absent from Schulman’s comments during the earnings call. This omission has raised questions about the broader implications of Verizon’s strategic bets, particularly as the company navigates both growth opportunities and cost-cutting measures.
Looking ahead, Verizon’s success in securing AI-related deals will depend on its ability to scale its infrastructure and meet the evolving needs of clients. The company has already begun discussions with partners who are eager to utilize these power-ready and permitted locations,
according to Schulman. If these efforts bear fruit, Verizon could emerge as a major player in the AI infrastructure space, competing with other telecom giants and cloud providers. The next key milestone will be the announcement of additional deals by year-end, which could further solidify the company’s position in this rapidly growing market.
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