The first wave of 5G was about speed and capacity. The next wave is about intelligence, and it demands a fundamentally different kind of network.

AI-native applications are already emerging that will reshape how mobile networks are used and what they're expected to deliver. Smart glasses streaming video, audio, and spatial data to the cloud for real-time processing. Personalized AI agents providing always-on proactive assistance from wearable devices. Autonomous vehicles and drones transmitting continuous telemetry and video feeds. Multimodal AR/VR experiences generating heavy uplink and downlink demands simultaneously.

These aren't theoretical scenarios on a five-year roadmap. They represent a structural shift in traffic patterns, toward uplink-heavy, latency-sensitive, dynamically unpredictable workloads, that today's networks need to be ready for now.

Meeting this challenge requires more than incremental upgrades. It requires intelligence that's built into the network at every layer, not bolted on after the fact. That's the principle behind Ericsson's AI-ready RAN portfolio, designed around a dual mandate: AI made for networks, and networks made for AI.

On the AI-for-networks side, new software capabilities are turning the RAN into a self-optimizing system. AI-managed beamforming uses machine learning to analyze signal data and dynamically optimize multi-user MIMO in real time, allocating maximum throughput to high-demand endpoints while efficiently managing resources everywhere else. AI-powered positioning leverages advanced algorithms to achieve up to five times improved accuracy even in non-line-of-sight conditions, opening monetization opportunities from fleet management to secure banking to autonomous drone control.

On the networks-for-AI side, the hardware has been re-engineered from the silicon up. Ericsson Silicon is purpose-built for telecom AI workloads, powering a new generation of radios, RAN compute, and Massive MIMO products designed to handle demanding inference tasks with ultra-low latency, lower energy consumption and smaller site footprints. New FDD Massive MIMO and ultralight dual-band radios deliver up to four times improved uplink performance across indoor, urban, and wide-area scenarios. Triple-band ultralight radios enable up to 44 percent energy savings and 65 percent weight reduction, expanding network sharing and consolidation possibilities.

The business case is equally sharp. Differentiated connectivity enhancements, including a latency-prioritized scheduler, deliver up to seven times faster end-user response times. This enables operators to launch premium AI experience tiers today. By the end of 2026 more than 160 radios will be Open RAN proven and AI-ready/prepared, ensuring architectural flexibility as the ecosystem evolves.

The AI era won't wait for networks to catch up. The operators that move first, embedding intelligence into their infrastructure now while building the uplink capacity and low-latency performance that AI workloads demand, will be the ones positioned to capture new revenue streams and serve the next generation of consumers, enterprises, and mission-critical applications.

The question isn't whether AI will transform networks. It's whether your network is ready.