AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Web and Digital Interface Designers

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

    Update responsive pages and test browsers

    Use an agent to update page templates or supporting code from your notes, then run the planned browser and device checks across the breakpoints your team uses.

  2. 2

    Compare design ideas and recommend one

    Use an agent to gather user needs, pull together moodboards, storyboards, and visual references, and compare a few design directions against the project brief and standards.

  3. 3

    Build prototype specs for development

    Use an agent to turn your sketches, notes, and project requirements into a prototype packet with site maps, page templates, and clear build notes.

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O*NET-SOC 15-1255.00 · #98 of 923

Result context

How to read this result

Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. May use web framework applications as well as client-side code and processes. May evaluate web design following web and accessibility standards, and may analyze web use metrics and optimize websites for marketability and search engine ranking. May design and test interfaces that facilitate the human-computer interaction and maximize the usability of digital devices, websites, and software with a focus on aesthetics and design. May create graphics used in websites and manage website content and links.

National position
#98 of 923 occupations
Top 11% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 80/100
Meaningful work covered
78%

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

Update responsive pages and test browsers

How you could use an agent

Use an agent to update page templates or supporting code from your notes, then run the planned browser and device checks across the breakpoints your team uses. The agent can collect the test results, compare them with compatibility requirements, and package any failures for review so the release is ready for a final pass.

Where you stay involved

You decide whether the design and behavior are good enough to ship, handle any tough bugs or out-of-scope changes, and sign off on the release note.

Review level: High

2

Compare design ideas and recommend one

How you could use an agent

Use an agent to gather user needs, pull together moodboards, storyboards, and visual references, and compare a few design directions against the project brief and standards. The agent can assemble a short rationale for the strongest option so you can review it with the team before work begins.

Where you stay involved

You choose which concept best fits the project, weigh feedback, and decide what should move into production planning.

Review level: Medium

3

Build prototype specs for development

How you could use an agent

Use an agent to turn your sketches, notes, and project requirements into a prototype packet with site maps, page templates, and clear build notes. It can also list open questions about features, navigation, or platform assumptions so development has a clean handoff.

Where you stay involved

You review the prototype for fit with the project, confirm the assumptions, and decide which technical questions need a human answer.

Review level: High

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 & frequency68
AI capability83
Digital actionability90
End-to-end leverage86
Safety & reversibility73
Meaningful-work coverage
78%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
30 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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