When Will AI Replace Spécialistes en ingénierie des télécommunications ?

The automation of Telecommunications Engineering Specialist tasks is projected to occur between 2026 and 2032, with approximately 55% of tasks automated by 2029. This moderately aggressive timeline is driven by AI's growing ability to analyze network performance, optimize routing protocols, and automate equipment configuration.

The early wave, starting as early as 2026, will see a severe impact on junior telecommunications engineers (0-3 years). Roles focused on standard network configurations, basic troubleshooting, and routine capacity planning will face significant disruption, with entry-level positions potentially shrinking by 25-35%.

The mid-wave of automation will continue to transform the field through 2032. AI's increasing capabilities in complex network analysis and optimization will affect a broader range of tasks, necessitating a shift in the skill sets required for mid-level and senior engineers.

Junior telecommunications engineers with 0-3 years of experience are most at risk. Their primary focus on standard network configurations, basic troubleshooting, and routine capacity planning makes their tasks highly susceptible to automation, leading to a potential 25-35% reduction in entry-level positions by 2026.

Senior telecommunications engineers (7+ years) with deep expertise in legacy systems like PSTN and SS7, and those involved in complex, non-routine problem-solving or strategic network architecture, are likely to be safer. These specialized skills are harder to automate in the near term.

To navigate the AI-driven changes, Telecommunications Engineering Specialists must adapt by focusing on skills that complement AI. This includes developing expertise in AI tool integration, advanced network analytics, cybersecurity for AI-driven networks, and strategic network design that leverages AI capabilities.

Upskilling in areas like advanced network performance monitoring, AI-driven troubleshooting, and the management of complex, multi-vendor environments will be crucial. Continuous learning and embracing new AI tools will be key to remaining valuable in the evolving telecommunications landscape.