Mobily and Nokia sign MoU to advance AI-powered network efficiency at LEAP 2026

Mobily and Nokia sign MoU at LEAP to accelerate AI-driven networks Saudi telecom operator Mobily and global network equipment vendor Nokia signed a Memorandum of Understanding (MoU) at the opening day of LEAP 2026 on August 31, 2026, agreeing to work together on accelerating the deployment of artificial intelligence (AI) across wireless networks to improve performance, efficiency and sustainability. The companies said the collaboration will focus on optimizing network resource utilization, reducing operational waste, and exploring new AI-enabled services for customers — placing the initiative at the intersection of commercial network engineering and Saudi Arabia’s broader digital transformation agenda. The MoU does not describe a fixed procurement or detailed implementation timeline, but frames a roadmap for trials, joint technical studies and proof-of-concept deployments that could inform future rollouts. Seen from the vantage of the Gulf region’s fast-evolving telecom market, the agreement represents a formalization of earlier trends: carriers increasingly look to software and AI tools to wring more capacity and energy efficiency out of existing infrastructure while preparing for next-generation services. AI is already moving from lab experiments into production in telecom operations. In practical terms for a carrier like Mobily, AI can be applied across several network layers simultaneously. At the radio access layer, machine learning models can improve radio resource management by predicting traffic patterns and adjusting spectrum, modulation and scheduling policies in near real time. That enables higher aggregate throughput for users and better utilization of scarce radio resources during peaks and troughs. On the transport and core network side, AI-driven traffic forecasting and anomaly detection can prioritize critical flows, accelerate fault isolation and automate routine operations that previously required human intervention. Predictive maintenance informed by equipment telemetry helps reduce unplanned outages and extends the life of active elements, while intelligent orchestration can dynamically instantiate network slices and virtual functions to meet changing service-level demands. Energy-saving techniques are an immediate area of interest for sustainability objectives. AI models can identify underutilized cells and safely place them in low-power states, optimize cooling and power delivery across sites, or adapt beamforming and transmit power to actual user locations. The combined effect is lower energy consumption per bit delivered — a metric operators are increasingly tracking as both regulators and enterprise customers factor carbon intensity into procurement and service selection. Beyond pure network optimization, AI unlocks new consumer and enterprise use cases. Mobily and Nokia’s agreement explicitly highlights exploring “AI-supported” services, which could include low-latency edge compute coordinated with radio scheduling for industrial IoT, enhanced location and context services for smart cities, or AI-enabled security analytics for anomaly detection. The value proposition for operators is twofold: reduce internal costs and create new revenue streams by packaging AI-enhanced connectivity with managed services. The partnership aligns with Saudi Arabia’s Vision 2030, which sets targets to diversify the economy and transform the Kingdom into a regional technology hub. Vision 2030 emphasizes digital infrastructure as a foundational element for economic diversification: large-scale cloud and data center investments, expanded fiber and 5G coverage, and policies to attract technology multinationals and startups. For national planners, intelligent networks offer a way to scale services efficiently while meeting environmental and economic targets. Across the Middle East and North Africa (MENA), telecom operators face similar pressures. Data demand continues to grow rapidly as streaming, cloud gaming, remote work and industrial digitization expand. At the same time, capital discipline and rising energy costs push carriers to seek solutions that get more performance from existing spectrum and passive infrastructure. AI-driven network controls have become a strategic lever in this environment: they promise to increase spectral efficiency, improve customer experience metrics and lower operational expenditure. The MoU with Nokia also reflects a broader industry dynamic in which operators balance vendor relationships and diversify technology partnerships. Mobily has previously collaborated with other vendors on radio and core network projects; this agreement with Nokia is a separate, concrete step focused specifically on AI-enabled operations and services. By testing and validating AI approaches with multiple suppliers, carriers can avoid vendor lock-in, encourage interoperability, and accelerate adoption of open frameworks such as cloud-native network functions and standardized management interfaces.