AI and Telecommunications: Towards Smarter Networks
Dynamic Bandwidth Optimization and 5G Coverage
In a world where digital usage is exploding—streaming, remote work, connected devices, cloud gaming—telecom networks are under immense pressure.
This is where artificial intelligence changes the game: it enables operators to manage network traffic in real time and automatically adjust bandwidth allocation according to current needs.
Practically, when a spike in connections occurs in a specific area (for example, during a concert, a sports match, or a major event), AI instantly analyzes the situation and redirects available resources to prevent congestion.
The result: stable service quality, even during peak demand. With the rollout of 5G, and soon 5G-Advanced, this intelligence becomes even more refined.
AI no longer just manages traffic; it also helps optimize antenna deployment and automatically configures the network based on real-world conditions (population density, obstacles, weather, energy consumption, etc.).
Projects like Huawei’s “AgenticRAN” framework illustrate this approach: they use intelligent agents capable of autonomously deciding how to adjust frequencies, transmission power, or channels to maximize performance while reducing energy consumption¹.
In short, AI transforms networks into living systems, capable of learning and continuously adapting to provide the best possible experience to every user.
Emmanuel Vivier emphasizes: “We are entering an era where infrastructures become cognitive. This is not just about technical performance: it is a logic of continuous adaptation, where the network understands context, anticipates usage, and reacts even before a problem arises.”
Predictive Maintenance: Anticipate Rather Than Repair
One of the most tangible contributions of AI in telecommunications is predictive maintenance.
By analyzing massive volumes of historical and real-time data, algorithms can detect subtle signals indicating an upcoming failure.
The result: fewer incidents, fewer interruptions, and better-planned interventions.
According to GlobalData, this approach could reduce maintenance costs by 30% and improve equipment availability by 20%².
But beyond the numbers, Emmanuel Vivier emphasizes the human aspect: “AI does not replace technical teams; it enhances them. It gives them back time for higher-value tasks and allows them to act proactively rather than reactively.”
Automation and Distributed Intelligence
The networks of tomorrow will be autonomous, but also cooperative.
AI enables continuous monitoring, detecting bottlenecks, balancing loads, and adapting configurations without human intervention.
According to a Tredence report, this automation not only improves network performance but also enhances the overall efficiency of interconnected supply chains and infrastructures³.
‘The real challenge is no longer whether AI will transform telecommunications, but how organizations will adapt their models and skills to fully leverage it,’ says Emmanuel Vivier. ‘Leaders will need to invest in training and digital culture as much as in technology.’
The year 2025 marks a turning point: the convergence of AI, 5G-Advanced, and edge computing is paving the way for self-learning networks.
Companies like Ericsson and Samsung, for example, are ramping up initiatives to make infrastructures smarter, capable of autonomously managing service quality, energy consumption, and cybersecurity⁴.
Proximus NXT: A Committed Player in AI for Telecommunications
Proximus NXT positions itself at the forefront of this transformation by offering innovative solutions that integrate AI to optimize telecom infrastructures. Through partnerships with leading technology providers, the company delivers services that enhance network performance, ensure proactive maintenance, and optimize the energy consumption of infrastructures. This approach guarantees reliable, high-performance services for clients while contributing to sustainable resource management.
To learn more about our AI or Telecommunications offerings, contact an expert at www.proximusnxt.lu
1. AI-driven predictive maintenance gaining traction in power industry, GlobalData – repris par Telecom Reseller / Technology Reseller News : https://telecomreseller.com/2025/07/21/ai-driven-predictive-maintenance-gaining-traction-in-power-industry-says-globaldata/
2. AI-Driven Blueprint: The Future of Network Optimization – Tredence : https://www.tredence.com/blog/ai-driven-network-optimization
3. Ericsson showcases 5G and AI innovations at India Mobile Congress 2025 – Times of India : https://timesofindia.indiatimes.com/technology/artificial-intelligence/ericsson-showcases-5g-and-ai-innovations-at-india-mobile-congress-2025/articleshow/124416505.cms