AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Web Administrators

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Review site analytics and note trends

    Use an agent to pull web analytics from approved dashboards, compare traffic, engagement, and conversion patterns against recent baselines, and draft a short note on what changed and where to look next.

  2. 2

    Fix web content and broken links

    Use an agent to scan site pages for stale text, broken links, and outdated references, then draft a clean list of edits for the content management tool.

  3. 3

    Analyze user feedback and report issues

    Use an agent to gather user feedback, session notes, and basic analytics, then group similar complaints and draft a concise issue summary for the development team.

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O*NET-SOC 15-1299.01 · #97 of 923

Result context

How to read this result

Manage web environment design, deployment, development and maintenance activities. Perform testing and quality assurance of web sites and web applications.

National position
#97 of 923 occupations
Top 11% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 81/100
Meaningful work covered
68%

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 site analytics and note trends

How you could use an agent

Use an agent to pull web analytics from approved dashboards, compare traffic, engagement, and conversion patterns against recent baselines, and draft a short note on what changed and where to look next. The agent can also organize pages or channels into a simple table so you have a quick read on trends before you decide what matters.

Where you stay involved

You check whether the metrics are the right ones, decide what the pattern means for the site, and choose any follow-up changes or reports to share.

Review level: Low

2

Fix web content and broken links

How you could use an agent

Use an agent to scan site pages for stale text, broken links, and outdated references, then draft a clean list of edits for the content management tool. The agent can compare the current page text to the requested revision set and recheck the updated pages so you can publish with confidence.

Where you stay involved

You decide which edits are safe to apply, make the actual content changes when needed, and approve anything that touches sensitive or controlled material.

Review level: Low

3

Analyze user feedback and report issues

How you could use an agent

Use an agent to gather user feedback, session notes, and basic analytics, then group similar complaints and draft a concise issue summary for the development team. The agent can pull together examples, likely problem pages, and any supporting screenshots or notes so you can focus on what deserves attention.

Where you stay involved

You review the grouped issues, judge which ones are real and worth raising, and decide how to explain the problem to developers or users.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

76 / 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 capability81
Digital actionability87
End-to-end leverage80
Safety & reversibility86
Meaningful-work coverage
68%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
35 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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