IT Operations Technician
M1810
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 perform a job augmented by AI, which automates many repetitive tasks while leaving technical decisions and relational aspects to you. AI handles systematic execution and automatic detection, but you remain responsible for trade-offs, complex interventions and user support.
AI automates routine operations and strengthens your ability to handle complex incidents and support users.
What will change
- Backup management and data security, because AI can schedule, execute and verify backups, detect anomalies and apply security rules, taking over repetitive operations.
- System performance optimization, because AI continuously analyzes metrics and automatically adjusts common parameters, correcting simple degradations without constant human intervention.
- Operational monitoring and routine maintenance of infrastructures, because AI identifies basic incidents, executes standard remediations and manages routine alerts, offloading first-level interventions.
What AI will improve
- Procedure documentation and user training, AI generates personalized guides and materials, accelerating content production while you provide context and lead the sessions.
- Diagnosis and resolution of complex incidents, AI provides correlations and quick investigation leads, allowing you to prioritize and act on critical cases more efficiently.
- Proactive system improvements and change management, AI proposes scenarios and recommendations, and you retain the role of judgment, coordination and technical and organizational implementation.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For IT Operations Technician, AI can already do 30% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs and specialized solutions) to automate routine tasks and enhance diagnostics
- Develop skills in system monitoring, complex incident management, and data governance
- Train in security, compliance, and change management to anticipate impacts and justify decisions
3-year outlook
In three years, you’ll have fewer purely repetitive activities: AI will handle routine and standardized tasks, while you focus on oversight, optimization, and managing unforeseen cases. The role will shift from operational to more control-oriented, orchestration-focused, and security-driven.
AI tools used in this profession
Solutions deployed in production by professionals in this field
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?
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Tasks most exposed to AI alone
7Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
While AI and automation are likely to take over repetitive tasks, your role in supervision and incident management won’t disappear anytime soon. You’ll still be essential for ensuring service continuity, diagnosing failures, and coordinating technical actions. By leveraging automation, you can also evolve your career toward operations and operational reliability.
The need will persist despite automation, though teams may become smaller and more versatile. You’ll remain indispensable for security, 24/7 monitoring, and incident management. Transitioning into DevOps, SRE, or operations engineering roles will significantly improve your chances of staying employed.
Start by strengthening your skills in automation, cloud computing, security, and system monitoring. Train yourself on monitoring tools (Prometheus, Grafana, Splunk), scripting (Python, Ansible), and DevOps methodologies. Consider certifications and cross-functional projects to demonstrate your ability to design and manage reliable environments.