AI Delegation Index

What work could you hand off to an AI agent?

Network and Computer Systems Administrators

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

    Review access settings and fix drift

    Use an agent to compare account permissions and system settings against your baseline or policy documents, then draft a list of access changes and configuration drift for you to review.

  2. 2

    Monitor network health and resolve alerts

    Use an agent to collect monitoring alerts, line them up with recent logs and performance trends, and draft the likely cause and standard fix for each routine issue.

  3. 3

    Start up and shut down systems

    Use an agent to walk through your startup or shutdown checklist, note service dependencies, and draft a log entry showing what was started, stopped, or left waiting.

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O*NET-SOC 15-1244.00 · #137 of 923

Result context

How to read this result

Install, configure, and maintain an organization's local area network (LAN), wide area network (WAN), data communications network, operating systems, and physical and virtual servers. Perform system monitoring and verify the integrity and availability of hardware, network, and server resources and systems. Review system and application logs and verify completion of scheduled jobs, including system backups. Analyze network and server resource consumption and control user access. Install and upgrade software and maintain software licenses. May assist in network modeling, analysis, planning, and coordination between network and data communications hardware and software.

National position
#137 of 923 occupations
Top 15% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 80/100
Meaningful work covered
64%

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

Review access settings and fix drift

How you could use an agent

Use an agent to compare account permissions and system settings against your baseline or policy documents, then draft a list of access changes and configuration drift for you to review. The result is a cleaner audit log and a quicker way to catch overprivileged accounts or settings that need attention.

Where you stay involved

You review the suggested changes, decide what is safe to apply, and approve or reject anything that could affect production. You also handle the final record of what changed.

Review level: High

2

Monitor network health and resolve alerts

How you could use an agent

Use an agent to collect monitoring alerts, line them up with recent logs and performance trends, and draft the likely cause and standard fix for each routine issue. The result is a faster first look at network health while you decide what to change and when an incident needs a senior engineer.

Where you stay involved

You review the alert pattern, choose the correction, and confirm that service is actually back to normal. You also decide when a hardware, security, or larger service problem needs to move to another person.

Review level: Medium

3

Start up and shut down systems

How you could use an agent

Use an agent to walk through your startup or shutdown checklist, note service dependencies, and draft a log entry showing what was started, stopped, or left waiting. The result is an orderly operations record while you carry out the procedure and decide if anything unsafe appears.

Where you stay involved

You follow the startup or shutdown steps, watch for failed jobs or missing components, and stop if the sequence could cause data loss. You then confirm the system is in the right state and update the record.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

74 / 100

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

Importance & frequency73
AI capability84
Digital actionability90
End-to-end leverage80
Safety & reversibility73
Meaningful-work coverage
64%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
20 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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