When Will AI Replace Spécialistes du support réseau informatique ?

The AI revolution for Network Engineers unfolds in distinct phases. Early impacts, starting as soon as 2026, will significantly affect junior roles. By mid-2028, mid-level positions without specialized skills will face considerable disruption. The late 2030s will see further integration and refinement of AI in network management.

The initial wave, beginning in early 2026, targets foundational tasks. Automation will encompass VLAN setup, routing protocol configuration, and firewall rule management. Declarative infrastructure-as-code tools like Terraform, Ansible, and Cisco DNA Center are making these traditionally manual processes highly automatable.

By mid-2028, the impact escalates. Engineers without cloud networking proficiency or automation expertise will struggle as organizations migrate to cloud-native architectures. This transition involves managing AWS VPC, Azure Virtual Networks, and Google Cloud Networking, areas where AI-driven solutions are increasingly dominant.

Junior Network Engineers focused on device configuration, basic troubleshooting, and routine maintenance are at the forefront of AI disruption. Their core responsibilities are among the first to be automated. Mid-level engineers who have not adapted to cloud networking and automation skills will find their roles increasingly challenging by 2028.

The market is bifurcating. While routine tasks face automation, roles requiring advanced problem-solving, strategic planning, and expertise in emerging AI-driven network management tools will see increased demand and potentially higher salaries. Specializing in cloud networking and automation is key to navigating this shift.

To thrive in the evolving networking landscape, proactive adaptation is essential. Focus on acquiring skills in cloud networking platforms like AWS VPC, Azure Virtual Network, and Google Cloud Networking. Embrace automation tools and methodologies, including Infrastructure as Code (IaC) with Terraform and Ansible.

Develop expertise in AI-driven network operations (AIOps) and Software-Defined Networking (SDN). Understanding Intent-Based Networking (IBN) principles will also be crucial. Continuous learning and specialization in areas less susceptible to automation will secure your career trajectory.