When Will AI Replace Architectes de systèmes informatiques ?

The impact of AI on Computer Systems Engineers and Architects will unfold between 2026 and 2030. By 2028, approximately 42% of their tasks are expected to be automated, with initial disruptions focusing on infrastructure deployment and routine system integration.

The early wave, starting as early as 2026, will heavily affect junior systems engineers (0-3 years experience). Those focused on routine configuration and runbook execution will see up to 60-70% of their tasks automated by AI-powered infrastructure-as-code platforms like Terraform and Ansible.

The mid-wave transformation will see AI tackling more complex integration and configuration management. While the exact percentage for this phase is not detailed, it builds upon the foundational automation seen in the early stages, impacting a broader range of system engineering responsibilities.

Junior systems engineers with 0-3 years of experience, particularly those focused on routine configuration tasks and following runbooks, are most at risk. AI code generation tools and infrastructure-as-code platforms will automate a significant portion of these duties.

While the executive summary doesn't explicitly detail safe roles or salary increases, it highlights that the deep cross-system understanding, troubleshooting intuition, and ability to navigate political/organizational complexity are AI's current limitations. These advanced skills are likely to remain in high demand.

To navigate the AI revolution, systems engineers must adapt. Focus on developing the nuanced expertise that AI struggles to replicate: deep cross-system understanding and sophisticated troubleshooting intuition built over years of experience.

Embrace and master tools like Terraform, Ansible, and AWS CloudFormation. Understanding how to leverage AI code generation tools will be crucial for remaining competitive in the evolving landscape of infrastructure management.