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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Network and Computer Systems Administrators are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
A career as a Network and Computer Systems Administrator is labeled as "Somewhat Resilient" because many routine tasks, like monitoring and capacity planning, are increasingly being handled by AI tools. However, tasks requiring physical presence, like installing hardware, and roles involving human judgment, such as troubleshooting and teaching others, still rely heavily on human skills.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
A career as a Network and Computer Systems Administrator is labeled as "Somewhat Resilient" because many routine tasks, like monitoring and capacity planning, are increasingly being handled by AI tools. However, tasks requiring physical presence, like installing hardware, and roles involving human judgment, such as troubleshooting and teaching others, still rely heavily on human skills.
Read full analysisAnalysis of Current AI Resilience
Network and Computer Admin
Updated Quarterly • Last Update: 2/17/2026

Many routine tasks in network administration are now given smart tools. For example, modern network software uses AI and machine learning to analyze usage data and plan capacity. Experts note that leading vendors (Cisco, IBM, etc.) are adding AI into network planning tools, helping predict future bandwidth needs and optimize traffic without a human checking every detail [1] [2].
Similarly, AI‐powered monitors can flag unusual traffic patterns or system failures faster than manual monitoring, reducing false alerts for admins [2] [1]. In disaster recovery, guides report that AI can scan system logs to predict outages and automatically trigger predefined recovery steps (like rerouting traffic or starting backups), which cuts response time [2] [2].
Other tasks remain mainly manual today. Things like physically loading tapes or installing printers and wiring still need human hands. So far we found no AI product that climbs a ladder or plugs in cables!
Likewise, helping a colleague understand a system or tweaking a PBX often involves human judgment, not an algorithm. In short, many computer monitoring and backup tasks are aided by AI, but purely hands‐on or teaching tasks still rely on people [2] [2].

Key AI tools are already available, so adoption can grow. Industry reports say most network gear makers and software providers are integrating automation and AI into their products [1] [2]. This means companies can buy AI features (for example, analytics dashboards or automated alerts) today.
The promise is big economic benefits: studies note that AI can cut operating costs and IT workload by predicting problems and automating routine fixes [1] [2]. For businesses facing high downtime costs, this is attractive.
Adoption pace will depend on trade-offs. Implementing AI systems can be expensive and tricky, so smaller firms may move slowly. Also, many organizations keep experienced admins “in the loop” since networks are critical.
There are few regulatory or ethical roadblocks in networking – it’s mostly a technical and business decision. In the end, AI in this field is viewed as a helpful assistant. It may take years to fully automate everything, but for now most experts see AI as boosting human admins (for example, by handling tedious monitoring) rather than replacing them [1] [2].

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They set up and manage computer networks to keep them running smoothly, making sure people can connect and access the internet and other resources.
Median Wage
$96,800
Jobs (2024)
331,500
Growth (2024-34)
-4.2%
Annual Openings
14,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Train people in computer system use.
Maintain an inventory of parts for emergency repairs.
Maintain and administer computer networks and related computing environments including computer hardware, systems software, applications software, and all configurations.
Perform routine network startup and shutdown procedures, and maintain control records.
Plan, coordinate, and implement network security measures to protect data, software, and hardware.
Implement and provide technical support for voice services and equipment, such as private branch exchange, voice mail system, and telecom system.
Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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