Will AI replace network operations center analysts?
This role is highly vulnerable as AIOps (Artificial Intelligence for IT Operations) platforms can monitor, detect, and resolve network issues faster than humans. Entry-level monitoring roles will largely disappear in favor of automated systems.
Why AI struggles to replace this job
- Physical network failures (e.g., a cut fiber optic cable) still require human physical intervention.
- Coordinating between multiple external service providers during a major outage requires human communication.
- AI may struggle to prioritize which system to fix first during a simultaneous multi-point failure.
- Highly customized, non-standard network topologies can confuse current AI models.
Tasks AI could automate
- Monitoring network traffic and alerting on deviations from the baseline.
- Automatically restarting services or servers when they stop responding.
- Classifying and routing incoming support tickets based on severity.
- Generating daily uptime and performance reports for management.
The 10-year outlook
The traditional 'eyes-on-glass' monitor role will decline significantly. Those in this field must transition to network engineering or cybersecurity to maintain their career longevity and salary growth.
Common questions
Will AI replace network operations center analysts?
This role is highly vulnerable as AIOps (Artificial Intelligence for IT Operations) platforms can monitor, detect, and resolve network issues faster than humans. Entry-level monitoring roles will largely disappear in favor of automated systems.
What is the AI replacement risk for network operations center analysts?
Network Operations Center Analyst scores 70/100 — This career is highly exposed to AI automation. Roughly 85% of the tasks in this role could be automated with current and near-future AI.
How much do network operations center analysts earn in 2026?
The US median salary for a network operations center analyst is about $65,000 per year, with projected employment growth of -5% over the next decade (declining).
Which network operations center analyst tasks can AI automate?
Monitoring network traffic and alerting on deviations from the baseline. Automatically restarting services or servers when they stop responding. Classifying and routing incoming support tickets based on severity. Generating daily uptime and performance reports for management.
Is network operations center analyst a good career to switch to?
Network Operations Center Analyst has a high AI risk score (70/100) and a -5% 10-year outlook. Compare it with your current job or use the salary calculator to see how a switch would affect your pay.
How can network operations center analysts use AI instead of fearing it?
AI can speed up routine network operations center analyst tasks like Monitoring network traffic and alerting on deviations from the baseline. and Automatically restarting services or servers when they stop responding.. The most resilient workers learn to direct these tools while focusing on the human judgment, creativity and physical work that AI can't easily replicate.
Network Operations Center Analyst at a glance
| AI Risk Score | 70/100 · High risk |
|---|---|
| Automation potential | 85% of tasks |
| Median salary (US) | $65,000 |
| 10-year outlook | -5% · Declining |
| Typical education | Associate degree |
Plan your next move
A risk score is most useful when you compare it with other options.
Training paths for Network Operations Center Analyst
Build skills for this role or prepare for a resilient next move. Course links may earn us a commission; they never affect your AI Risk Score.
Google Cybersecurity Certificate
Google · Beginner · 6 months, 10 h/week
Security judgment under real attack pressure is one of the least automatable tech skills.
Google Project Management Certificate
Google · Beginner · 6 months, 10 h/week
Coordination, stakeholders and accountability are the parts of knowledge work AI is worst at.
Google Data Analytics Certificate
Google · Beginner · 6 months, 10 h/week
Turns you into the person who interprets AI output rather than the person it replaces.
Machine Learning Specialization
Coursera · Intermediate · 3 months
Building the models beats being replaced by them — the highest-leverage move in tech right now.
Want a guided next step?
Tell us what you want to learn and we’ll send a free, practical training plan.
Compare with other careers
All careersTechnology
Telecommunications Analyst
Technology
Webmaster
Technology
Architectural Drafter
Technology
Electrical Drafter
Technology
Mechanical Drafter
Technology
Virtualization Engineer
Technology
CAD Drafter
Technology
