Private 5G: Building AI data centers starts with better wireless

Thanks to AI, data center construction is now one of the biggest infrastructure booms in history. The capex of the world’s 14 largest publicly traded data center operators is close to $750 billion in 2026, up from less than $450 billion a year ago, with hyperscalers AWS, Microsoft, Meta, Alphabet (Google) and Apple planning to increase spending on data centers and supporting infrastructure by about $650 billion this year.

At the end of September 2025, more than 23GW of data center capacity was under construction worldwide — about three-quarters of it in the US — with projects announced for 2026 expected to add another 20GW in the near term.

All these projects will face the same two connectivity challenges: the first during construction, and the second once the data center is operational. Neither can be addressed by Wi-Fi or public cellular alone.

This issue makes the wireless layer one of the most consequential design decisions in the entire data center program.

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What connectivity problems do data centers face?

New data centers are AI factories that span entire city blocks and are designed to support intelligent workloads. Yet building and operating an AI data center means solving a unique set of connectivity challenges:

Connectivity is needed from day one

Construction starts long before fiber, power and permanent networks are in place. On day one, the site is effectively a connectivity desert. But contractors, heavy machinery, drones, security teams and site operations will need reliable, carrier-grade connectivity for at least 18 months from the moment ground is broken.

Data center campuses overwhelm Wi-Fi

Data centers are massive campuses of steel, reinforced concrete, heavily secured facilities and outdoor substations, and are therefore unreliable radio-frequency environments. Delivering seamless and reliable wireless coverage for workers, security patrols, robots and autonomous vehicles across an entire campus is difficult to achieve with conventional Wi-Fi alone.

Security can’t afford blind spots

Physical data center security is a board-level concern. Continuous video analytics, perimeter surveillance, drone detection and access control all generate large volumes of uplink traffic and require predictable performance rather than best-effort connectivity.

Always-on operational telemetry

AI data centers depend on the constant monitoring of cooling systems, electrical infrastructure, water management and environmental conditions. Hundreds of thousands of sensors generate continuous streams of data that require highly reliable low-latency connectivity.

One architecture for dozens of sites

The largest operators are building data centers at unprecedented scale. They need a standardized wireless architecture that can be deployed, secured and managed consistently at dozens of campuses worldwide, rather than site-specific wireless solutions.

With these projects, connectivity is tied directly to business value. Every week saved during construction brings forward the revenue generated by a multibillion-dollar AI facility. Once the facility is operational, every hour of unplanned downtime can cost millions.

Against this backdrop, the cost of investing in a private 5G network is relatively small when compared with the value it protects.

3 steps to a wireless platform, from breaking ground to production

The most effective approach is to think of data center connectivity as core infrastructure rather than something added once construction is complete. The same private 5G platform that keeps a construction site connected can transition into the permanent wireless foundation for the finished campus, and can then be replicated at every new data center.

1. Start with private 5G during construction

The first step is getting reliable connectivity onto a site that has little or no communications infrastructure.

A private 5G network can be operational within days, ready to support all aspects of the project from the moment construction begins. Because it doesn’t rely on extensive cabling or trenching, the network can move as the project evolves.

The result: Fewer delays, better coordination between contractors and a network investment that continues delivering value after construction has been completed.

2. Create a campus-wide operational network

Once the data center goes live, that same private 5G foundation becomes the campus-wide network for day-to-day operations. Instead of managing separate wireless networks for security systems, inspection robots, sensors and field technicians, operators can support them on a single, deterministic platform.

Private 5G provides predictable low-latency performance, seamless mobility across buildings and outdoor areas, and strong security through identity-based access and network segmentation.

The result: A simpler architecture that supports autonomous operations, reduces maintenance visits and scales easily as additional halls and campuses come online.

3. Bring AI to the edge for security, cooling and energy

Private 5G becomes even more valuable when it’s combined with on-premises edge computing.

Running AI at the edge enables real-time video analytics, perimeter monitoring, drone detection and predictive maintenance for cooling systems, generators and electrical infrastructure, all without sending sensitive operational data off-site.

The result: Because cooling and power determine both the efficiency and resilience of a data center, detecting anomalies before they become failures can prevent costly downtime and improve the energy efficiency of the campus.

We understand the challenges because we face them ourselves

To design wireless networks for AI data centers, you need to understand what it takes to build and operate these facilities at scale. For NTT DATA, the challenges discussed here — from construction-site connectivity to physical security, commissioning schedules and day-to-day operations — are the same ones our own teams manage every day.

NTT Global Data Centers, one of the world’s largest data center providers, is on track to double capacity to 4GW across 34 data center projects, backed by a $10 billion investment program through 2027 and land acquisitions in seven high-demand markets.

As a data center operator and leading private 5G provider, we can validate architectures in our own environments before recommending them to our clients.

In addition, we were named a Leader in Everest Group’s 5G Engineering Services PEAK Matrix® Assessment 2025 report and in the 2026 Gartner® Magic Quadrant™ for 4G and 5G Private Mobile Network Services.

Replicating a proven model for wireless networks at scale

Building a reliable private wireless network for a single site is one thing. Replicating it consistently across dozens of locations is another.

We rolled out our private 5G deployment for global food, agricultural and industrial leader Cargill at 50 manufacturing and processing facilities worldwide, creating a standardized architecture that can be managed consistently at global scale.

Similar deployments for Celanese Corporation, the global specialty materials and chemical company, demonstrate how deterministic wireless can support hazardous manufacturing environments where safety, reliability and continuous operations are critical.

Those experiences provide a repeatable blueprint that data center operators can apply across large, multicampus expansion programs.

Every data center program has different requirements, however, and as a technology-neutral system integrator, we design solutions using the platform that best fits each environment. This approach is reinforced by our February 2026 strategic partnership with Ericsson to industrialize private 5G and physical AI, as well as our managed private 5G security partnership with Palo Alto Networks.

Our fully managed edge AI platform — the industry’s first managed IT/OT convergence platform — adds capabilities such as real-time analytics, predictive maintenance and energy optimization, bringing networking, edge computing and AI together as a single managed service.

Private 5G as a foundation for data center success

Private 5G isn’t the whole answer to building a data center that can manage the demands of AI, but it’s rapidly becoming one of the foundations that makes everything else possible.

Connectivity is now a key part of the operating model, and developers racing to bring new capacity online increasingly rely on it to reduce risk throughout the project lifecycle. Once they achieve that, they can operate more efficiently and be better prepared for whatever the next generation of AI demands.

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