Systems and Network Engineer
M1822
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You are in an « Augmented » profile where AI takes care of repetitive operations and large-scale analyses, while leaving you responsible for architectural choices and trade-offs. You can therefore devote more time to design, advanced security and supporting the teams.
AI is transforming the profession: some tasks are disappearing or changing in nature, while assistance significantly boosts productivity.
What will change
- Monitoring and performance optimization: AI continuously collects and analyzes metrics and logs, automatically detects recurrent anomalies and executes standardized fixes, allowing it to assume these operational tasks with moderate automation and reduce routine workload.
- Strengthening routine security and compliance: AI performs vulnerability scans, repetitive audits and standardized remediations, applying automated rules and fixes for known cases while flagging complex situations that require your judgment, which corresponds to moderate automation.
- Provisioning and standardized infrastructure configuration: AI runs playbooks, deploys repetitive configurations and tests deployment scenarios, handling scriptable and repeatable aspects while business-specific design remains mainly manual, with lower automation for architectural choices.
What AI will improve
- Diagnosis and resolution: AI proposes root cause hypotheses, correlations between log sources and commands to test, accelerating diagnosis and offering you high assistance in targeting operational actions.
- Design and sizing: AI simulates load scenarios, generates capacity recommendations and visualizes the impacts of architectural choices, helping you make better-informed decisions with moderate assistance on calculations and forecasts.
- Project management and collaboration: AI automates report preparation, synthesizes incident status and writes tickets and runbooks from exchanges, reducing administrative tasks and improving coordination between teams with low assistance on human orchestration.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Systems and Network Engineer, AI can already do 24% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs + specialized tools) to generate configurations, automate tasks, and analyze performance.
- Strengthen skills in architecture design and security governance, with human testing and validation.
- Develop project management and inter-team coordination skills, leveraging AI approaches for tracking and automation.
3-year outlook
In three years, AI will have massively integrated monitoring, automation, and part of deployment, freeing up time for design and strategic framing. The risk for teams is a reshaping of roles and pressure on positions if gains are not leveraged to create added value.
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
Understand this baselineWhich roles in your company will AI transform?
Move from individual diagnosis to a company-wide HR view: exposure by role, by team and by horizon.
Tasks most exposed to AI alone
5Tasks most augmented by AI
5Your role isn't an average.
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Frequently Asked Questions
No, your profession is not at risk of disappearing in the short term. AI will automate certain repetitive and analytical tasks, but you will continue to design, deploy, and maintain complex network architectures, ensure security, and resolve business challenges that require human judgment. Your role will evolve toward integrating AI into processes and overseeing distributed systems.
Headcounts won’t collapse; they will transform. Companies will still need professionals capable of designing resilient architectures, automating operations, and securing multi-cloud environments, which may lead to smaller but more specialized teams. Demand will depend on the sector and the level of technology adoption, but your expertise will remain a key asset.
To adapt, develop skills in automation and hybrid cloud (Infrastructure as Code, Ansible/Terraform, and network security). Invest in cybersecurity, SDN, and distributed architectures, then improve your observability and collaboration with product and security teams. Consider relevant certifications and cross-functional projects that demonstrate your ability to deliver comprehensive solutions.