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Will AI replace Computer Network Support Specialists?

Analyze, test, troubleshoot, and evaluate existing network systems, such as local area networks (LAN), wide area networks (WAN), cloud networks, servers, and other data communications networks. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 15-1231.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
47%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
47%Automatable
Automatable47%
Augmentable27%
Hard to automate26%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Tech
Engineering & Product
Modeled pay midpoint$
$63,500/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Back up network data.57%
⚙Configure security settings or access permissions for groups or individuals.46%
▥Analyze and report computer network security breaches or attempted breaches.34%
✦System accountability and architecture judgment18%
✦Handling ambiguous requirements and trade-offs14%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting back up network data..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on system accountability and architecture judgment.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Computer Network Support Specialists.
02>AI can help with: Back up network data.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: System accountability and architecture judgment.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 47% is estimated task exposure—not a 47% chance of losing the job.
What AI can do
Back up network data.MEDIUM
Configure security settings or access permissions for groups or individuals.MEDIUM
Analyze and report computer network security breaches or attempted breaches.LOW MATCH
How estimates work →
Your human moat
◆

System accountability and architecture judgment

MEDIUM-HIGH

Combined with handling ambiguous requirements and trade-offs, this keeps a human in the loop.

Strength8.0
Similar-role comparison
RoleRisk
Computer Network Support Specialists47%
Junior Frontend Developer47%
IT Help Desk (Tier 1)47%
Mobile App Developer47%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is system accountability and architecture judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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