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A/KAI Kills What?

Dossier #155 // technical exposure assessment

High exposure

Computer Network Architects

Category: General · SOC 15-1241.00 · Industry: Cross-industry

AI Exposure (AI-estimated)

n/a
-

Not assessed

Last updated

unknown

sources: BLS OES (approx) · O*NET

Evidence

0 sources

30 core tasks shown

Verdict

Computer Network Architects High exposure: 9 of 30 core tasks show high task automation potential : exposure 50/100 (not assessed).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

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Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)n/a/100

Methodology - · score - · input hash -

AI capability exposuren/a/100

Strength of current models on the capabilities this job's tasks require.

Task automation potentialn/a/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoptionn/a/100

Evidence that AI is actually being used for this work.

Labour-market signaln/a/100

Observed changes in postings, employment or earnings.

Evidence strengthn/a/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated -.

Overview

Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, and other data communications networks. Perform network modeling, analysis, and planning, including analysis of capacity needs for network infrastructures. May also design network and computer security measures. May research and recommend network and data communications hardware and software.

Employment

-

approx. BLS OES

Median wage

-

approx. BLS OES

Tasks tracked

30

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

Task-level automation exposure

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.

Evidence

Evidence trail

0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

No series yet

This chart fills in once the first snapshot is recorded.

Reconstruction, not measurement. 0 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

Signals affecting this occupation

No events match this filter yet. New verified events appear here as analysis completes.

Related

Related Occupations

Occupations sharing major SOC group (15) with Computer Network Architects.

faq

Frequently Asked Questions

Common questions regarding Computer Network Architects and AI exposure.

Will AI replace Computer Network Architects?

Current AI models show an exposure score of 50/100 for Computer Network Architects. 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.

Which tasks in Computer Network Architects have the highest AI exposure?

The most exposed tasks for Computer Network Architects include "Maintain networks by performing activities such as file addition, deletion, or backup." (90% exposure) and "Monitor and analyze network performance and reports on data input or output to detect problems, identify inefficient us…" (80% exposure).

What aspects of Computer Network Architects can AI not do yet?

Tasks with the lowest AI exposure for Computer Network Architects include "Participate in network technology upgrade or expansion projects, including installation of hardware and software and in…" (15% exposure) and "Coordinate network operations, maintenance, repairs, or upgrades." (15% 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.