At Mobile World Congress (MWC) Barcelona 2025, Ericsson took center stage, unveiling its bold strategy to revolutionize network management through AI-driven, intent-based architecture and the expansion of its Global Network Platform.
In a refreshing change from traditional exhibits, Ericsson’s redesigned stand welcomed visitors into an interactive showcase of real-world 5G and 6G use cases—with a sharp focus on programmable networks and open APIs. The goal? To demonstrate how machine learning models and neural networks are reshaping how modern telecom infrastructure operates.
Katherine Ainley, CEO of Ericsson UK and Ireland, shared insights into the company’s two-pronged approach to artificial intelligence during an exclusive MWC interview.
“It’s a really exciting year for us,” Ainley said. “We’ve created an open space where anyone can explore what we’re building and how 5G and 6G are transforming industries.”
According to Ainley, Ericsson is rethinking the way networks are managed—shifting away from labor-intensive, parameter-level configuration. Instead, the company is embracing intent-driven networking, where AI handles the heavy lifting.
“Rather than setting thousands of individual parameters, you simply define the desired intent of the network, and AI automatically configures and adjusts the system,” she explained. “It’s faster, smarter, and more efficient.”
This shift allows networks to dynamically adapt based on business needs, significantly reducing complexity while boosting performance and responsiveness.
Ericsson’s AI strategy isn’t just about smarter network management—it’s also about supporting AI-driven applications that require low latency, high bandwidth, and robust security.
“We’re looking at AI from two critical angles,” Ainley added. “First, how it can help us optimize network performance. Second, how AI will transform the way networks are used—especially as enterprises demand faster, more secure connectivity for things like real-time analytics and computer vision.”
The company is already designing networks capable of supporting distributed AI inference workloads—critical for next-gen use cases like smart manufacturing, connected venues, and enhanced cybersecurity.
“We know enterprises will need super-fast, low-latency networks that enable instant data exchanges with the cloud,” Ainley said. “Our intent-based models make that possible.”
A cornerstone of this transformation is Ericsson’s Cloud Radio initiative, designed to ensure that radio hardware is cloud-ready and open for innovation.
Blessing Makumbe, VP and Head of Cloud Software & Services at Ericsson UK & Ireland, described how Cloud Radio gives operators more flexibility.
“We’re making sure our radios have open interfaces, so operators can customize the technology while keeping the ability to innovate,” Makumbe explained. “At MWC, we’re showcasing how we’re rolling out cloud-ready solutions that allow different players to choose the tech stack they want.”
By standardizing interfaces, Ericsson aims to create a seamless environment where AI applications can easily integrate across network infrastructures.
“It’s about enabling everyone to access real-time network attributes and build on top of that,” Makumbe added. “We want operators to get the maximum value from their networks.”
Ainley echoed that sentiment, emphasizing Ericsson’s ongoing commitment to open standards and flexible, programmable networks.
“This is a journey,” she said. “We’re balancing efficiency with the need to keep networks open to future alternatives and innovations.”
Looking ahead, Ericsson is positioning its Global Network Platform as essential infrastructure for distributed AI applications in enterprise environments.
“Our vision for 2025 and beyond is about building the ecosystem around us,” Ainley shared. “At MWC, you’ll see our partners and customers demonstrating how they’re leveraging 5G and our APIs to create powerful consumer and enterprise use cases.”
From computer vision in manufacturing to real-time data analytics at large venues, Ericsson’s focus remains on empowering industries with AI-ready network capabilities.
“We’re constantly refining how we use intent-based programming and software optimization to make networks smarter and more efficient,” Ainley added. “It’s all about scaling globally and delivering on the promise of AI-powered, low-latency, secure networks.”
