WIA Initiative Defines and Makes the Case for the “Edge” in the Inferencing Era 

By Iain Gillott, Vice President, Innovation and Technology, WIA 

For a decade, edge computing was a solution looking for an application. Edge inference is that application. 

Today, at its Digital Infrastructure Forum, the Wireless Infrastructure Association released Edge Infrastructure: Defining the Opportunity and Path Ahead. The paper sets out an industry-built definition of edge infrastructure, shaped by the people who build and operate it, as AI moves from training to real-time and location-sensitive inference. 

The paper is the first public product of WIA’s Edge Infrastructure Initiative (EI2). EI2 is a working group of tower and communications site owners, network operators, and technology and equipment providers. Its central finding: AI inference needs compute resources close to users and devices, and WIA members already own and manage the sites, power, fiber and permits to deliver it. 

Defining the Edge 

Edge computing is not a new idea. Earlier efforts such as multi-access edge computing (MEC) came before the demand did, but novel use cases have changed the game. Real-time conversation, autonomous systems, multi-step AI agent workflows and physical AI such as drones and robotics need response times in single-digit milliseconds. 

EI2 members agreed on a working definition of edge infrastructure: 

“Edge infrastructure places compute, storage and connectivity equipment at active communications sites, using existing infrastructure to deliver resilient, low-latency processing, telecom and digital services closer to users and devices.” 

What stood out in this work is how closely the ecosystem agrees on what edge looks like in practice, from local sites delivering sub-10-millisecond response times to regional and hub deployments. Build cycles run two to three years, so the decisions companies make on sites, power and fiber today will lay the foundation for the future. 

Our members built the infrastructure and manage the communications sites that keep this country connected. That same footprint is ready to put edge inference within milliseconds of the people, enterprises and machines that depend on it. WIA is proud to bring industry leaders together to define edge infrastructure and to make sure policymakers understand what it will take to deploy it. 

What’s Next 

The white paper is available on WIA.org. EI2’s next phase will turn its analysis into practical resources for the ecosystem. Learn more about EI2 and how to get involved at WIA.org.