AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Computer Network Architects

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Monitor network capacity and recommend fixes

    Use an agent to pull utilization graphs, interface counters, logs, and recent change notes into a capacity review.

  2. 2

    Plan network recovery and test continuity

    Use an agent to gather recovery procedures, dependency lists, and notes from tabletop exercises or test runs, then draft a continuity plan for your review.

  3. 3

    Review security changes and test controls

    Use an agent to review security requirements, audit notes, and nonproduction test results for firewall or probe changes, then draft a recommendation packet.

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O*NET-SOC 15-1241.00 · #228 of 923

Result context

How to read this result

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.

National position
#228 of 923 occupations
Top 25% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 75/100
Meaningful work covered
65%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Monitor network capacity and recommend fixes

How you could use an agent

Use an agent to pull utilization graphs, interface counters, logs, and recent change notes into a capacity review. It can summarize where demand is growing, where a fault may be hiding, and prepare a short recommendation for your next step.

Where you stay involved

You decide whether the issue calls for a change request, more investigation, or a hands-on fix by the network team. You also approve any privileged change or major capacity move.

Review level: Medium

2

Plan network recovery and test continuity

How you could use an agent

Use an agent to gather recovery procedures, dependency lists, and notes from tabletop exercises or test runs, then draft a continuity plan for your review. It can highlight missing steps, unclear ownership, or services that need a better recovery path.

Where you stay involved

You judge whether the recovery plan is workable, decide what should be changed, and approve any updates to the documentation. You also handle the broader continuity decisions when a test shows the plan is not ready.

Review level: High

3

Review security changes and test controls

How you could use an agent

Use an agent to review security requirements, audit notes, and nonproduction test results for firewall or probe changes, then draft a recommendation packet. It can compare the proposed settings with policy and connectivity expectations so you can decide what to move forward.

Where you stay involved

You review the test evidence, decide whether the change is safe to implement, and handle any policy exception or business-impact concern. You also make the call if the issue belongs with security leadership instead of the project team.

Review level: High

Documentation and coordination support

AI can assist without owning the physical outcome

These support steps are shown separately. They do not count as agentic workflows and do not increase this occupation's score.

Draft network designs from requirements

Use an agent to turn meeting notes, requirements emails, and current topology files into draft network design options and diagrams. It can organize the equipment assumptions, bandwidth notes, and design details into a packet you can review with the customer or project team.

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

70 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency71
AI capability77
Digital actionability79
End-to-end leverage71
Safety & reversibility79
Meaningful-work coverage
65%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
33 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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