Category: Computer & mathematical · SOC 15-1231.00 · Industry: Software & technology
Moderate exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
1 sources
26 core tasks shown
Computer Network Support Specialists High exposure: 13 of 26 core tasks show high task automation potential : exposure 64/100 (moderate exposure).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology 2026-09-a · score v1.0 · input hash 6abb3fbb141a4fd6
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
1 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
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. Perform network maintenance to ensure networks operate correctly with minimal interruption.
Employment
≈560,000
approx. BLS OES
Median wage
≈$62,000
approx. BLS OES
Tasks tracked
26
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.4/5
core task · importance 4.4/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4/5
core task · importance 4/5
core task · importance 4/5
core task · importance 4/5
core task · importance 4/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.7/5
core task · importance 3.7/5
core task · importance 3.7/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.5/5
core task · importance 3.4/5
core task · importance 3.4/5
core task · importance 3.3/5
core task · importance 3.3/5
core task · importance 3.1/5
Evidence
1 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
In a randomised controlled trial with about 5,000 customer support agents, access to a generative AI assistant increased issues resolved per hour by about 14% on average, with gains of roughly 34% for the least experienced workers and negligible effects for the most experienced.
The strongest causal evidence available on AI in service work. Note carefully what it does and does not show: it measures output per agent, not headcount. Because it compresses the experience gap, it can reduce demand for senior specialists while raising productivity of new hires.
Source: Brynjolfsson, Li & Raymond — Generative AI at Work (Quarterly Journal of Economics) · Updated 1 Feb 2025
Historical trend
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
In a randomised controlled trial with about 5,000 customer support agents, access to a generative AI assistant increased issues resolved per hour by about 14% on average, with gains of roughly 34% for the least experienced workers and negligible effects for the most experienced.
Related
Occupations sharing major SOC group (15) with Computer Network Support Specialists.
faq
Common questions regarding Computer Network Support Specialists and AI exposure.
Current AI models show an exposure score of 64/100 for Computer Network Support Specialists. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
The most exposed tasks for Computer Network Support Specialists include "Back up network data." (90% exposure) and "Maintain logs of network activity." (90% exposure).
Tasks with the lowest AI exposure for Computer Network Support Specialists include "Install or repair network cables, including fiber optic cables." (5% exposure) and "Test repaired items to ensure proper operation." (10% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.