Physical AI and Private Networks

Why It Matters

These shifts define who will control enterprise AI at the edge—network providers, system integrators, or new GPU-focused clouds—and shape procurement, regulatory strategy, and investment in low-latency infrastructure. Harmonized EU sovereignty rules and fast-moving partnerships will determine which players scale and who risks missing a narrow market window.

Summary

At MWC speakers argued that private 5G paired with edge AI will accelerate robotics and industrial automation as workloads shift from training to fine-tuning and inference, driving higher uplink and low-latency requirements. That demand is fragmenting the private-network market: large vendors and telcos focus on wide-area, mission-critical use cases while system integrators and industrial automation firms capture campus and vertical deployments. Cloud sovereignty emerged as a timebound opportunity for telcos, who have trust and regulatory relationships but lack GPU/cloud orchestration expertise, creating room for ‘neo-cloud’ GPU providers to partner with carriers. Quantum computing appeared at the show but remains nascent and secondary to near-term edge and AI networking priorities.

Original Description

Leo Gergs, Principal Analyst, ABI Research, speaks with Sean Kinney, Principal Analyst, RCRTech.

Recorded at MWC 2026, presented as part of RCR Wireless News' MWC Key Takeaways 2026.

Find out more here: https://www.rcrkeytakeaways.com/