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Will AI Replace Network and Computer Systems Administrators?

Comprehensive AI automation risk analysis and career outlook for Network and Computer Systems Administrators professionals

73% - High Risk

Quick Answer

Yes, AI is likely to significantly impact Network and Computer Systems Administrators roles. With a 73% automation risk, many core tasks in this occupation could be automated in the coming years. However, human oversight and specialized skills may still be valuable.

What Does Network and Computer Systems Administrators Do?

Install, configure, and maintain an organization's local area network (LAN), wide area network (WAN), data communications network, operating systems, and physical and virtual servers. Perform system monitoring and verify the integrity and availability of hardware, network, and server resources and systems. Review system and application logs and verify completion of scheduled jobs, including system backups. Analyze network and server resource consumption and control user access. Install and upgrade software and maintain software licenses. May assist in network modeling, analysis, planning, and coordination between network and data communications hardware and software.

AI Automation Risk

Based on human expert analysis

73%
High Risk

What this means:

This occupation has a high likelihood of being significantly impacted by AI automation. Many core tasks could be automated in the near future.

Risk assessment based on the "GPTs are GPTs" research by OpenAI, analyzing task-level automation potential.

Employment & Wage Data

Latest data from Bureau of Labor Statistics

Median Wage
$80,600
Total Employment
N/A
Recent Growth
+5.4%

Task-by-Task Analysis

Detailed breakdown of how AI might impact specific tasks in this role

No task data available for this occupation.

Career Recommendations

High Risk - Consider Adaptation

  • • Focus on developing AI-resistant skills like creativity and emotional intelligence
  • • Consider transitioning to supervisory or strategic roles
  • • Learn to work alongside AI tools rather than compete with them
  • • Explore related fields with lower automation risk