By Tuoyo Ebigbeyi, VP, Network Operations, American Tower
Note: This blog was produced under WIA’s Innovation and Technology Council (ITC). The ITC is the forum for forecasting the future of the wireless industry. Participants explore developments in the wider wireless industry, from 5G network monetization trends and streamlining infrastructure deployment to future spectrum needs and cell site power issues. These views are not a WIA endorsement of a particular company, product, policy or technology.
The telecom industry is laser-focused on the next big thing — new spectrum, advanced radios, and cutting-edge antennas. But behind the headlines, much of the value lies in optimizing the backbone of wireless infrastructure: the towers, power systems, and environmental controls that keep networks running.
American Tower has been developing a playbook to unlock this value and achieve real operational gains from advanced analytics and AI-driven efficiency. Whether it’s optimizing field dispatch or predicting the lifespan of an LED obstruction light, cost savings and a competitive edge increasingly lie in data mastery and predictive insight.
From Reactive to Predictive Operations
Historically, tower maintenance followed a reactive model: a problem occurs, a ticket is opened, and a field crew is dispatched. American Tower is moving toward a predictive model powered by vast streams of operational data.
With more than 40,000 U.S. tower assets and hundreds of thousands of service events each year, the company ingests enormous datasets to identify patterns and anticipate issues before they surface. Seasonal storm readiness is a prime example. Instead of waiting for a hurricane warning to reposition resources, American Tower now uses historical weather and performance data to pre-position inventory and contractor capacity well before storm season begins.
This proactive approach extends to tower inspections. Rather than checking every site on a fixed schedule, analytics flag high-risk structures based on age, geography, and past inspection results. Older towers in hurricane-prone areas, for instance, receive more frequent inspections than newer, lower-risk sites.
The company’s field operations benefit from data-driven dispatching that goes well beyond simple mapping tools. Advanced routing models incorporate workload forecasts, contractor availability, and even environmental impact to reduce redundancies and minimize carbon emissions. By predicting workload surges months in advance, American Tower can redistribute crews and materials to the right markets, avoiding costly last-minute mobilizations.
While predictive maintenance grabs attention, automation is also transforming the back office. American Tower uses rules-based analytics to flag anomalies in vendor invoices — catching red flags such as duplicate site visits or unnecessarily long travel distances — before they reach human reviewers. This reduces human error and delivers significant savings across thousands of invoices.
Extending Asset Life Through Predictive Maintenance
Power systems, HVAC units, and obstruction lighting are critical to uptime and regulatory compliance. By analyzing performance and maintenance data across equipment types and manufacturers, American Tower is developing models to predict component failures and trigger maintenance before breakdowns occur.
This is particularly advanced in international markets where power-as-a-service offerings include solar, lithium batteries, and multiple power elements. Lessons from these deployments are now informing U.S. operations, including generator and lighting maintenance programs.
Notably, predictive analytics are only as effective as the data quality behind them. To reduce variability, American Tower has worked to standardized equipment vendors — narrowing generator suppliers to just two primary manufacturers — enabling cleaner datasets and more reliable modeling.
The next frontier involves richer site intelligence. American Tower is investing in high-definition imaging and real-time field data capture, using drones, helmet-mounted cameras, and vehicle-mounted systems to create detailed visual records of towers and their surroundings.
The Road Ahead: Three Phases of AI Adoption
American Tower sees the adoption of AI in three phases. Today, we are working on phase one, which includes Ingest data, analyzing trends, and moving from reactive to proactive operations. The second phase will include AI-Driven Decision Making using intelligence for operations as well as financial and strategic decisions, such as capital allocation and risk management. Finally, the third phase integrates external Intelligence about supply chains, geopolitics and regulatory changes into AI-powered decision frameworks.
The post AI and Analytics at the Core: How American Tower is Reimagining Network Operations appeared first on Wireless Infrastructure Association.
Read the full story .