AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Web Developers

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

    Build site features and verify release

    Use an agent to turn a feature request and notes from the team into a working draft for a website or web app, then run the planned checks and summarize browser and device results.

  2. 2

    Fix browser bugs and retest

    Use an agent to gather the bug report, reproduce the browser issue, check the affected code, and draft a small fix or workaround for you to review.

  3. 3

    Update site content and verify changes

    Use an agent to draft routine website content updates from your request notes, then check links, formatting, and page text against the content criteria you gave it.

Search another job

O*NET-SOC 15-1254.00 · #16 of 923

Result context

How to read this result

Develop and implement websites, web applications, application databases, and interactive web interfaces. Evaluate code to ensure that it is properly structured, meets industry standards, and is compatible with browsers and devices. Optimize website performance, scalability, and server-side code and processes. May develop website infrastructure and integrate websites with other computer applications.

National position
#16 of 923 occupations
Top 2% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 84/100
Meaningful work covered
82%

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

Build site features and verify release

How you could use an agent

Use an agent to turn a feature request and notes from the team into a working draft for a website or web app, then run the planned checks and summarize browser and device results. The agent can help compare the code against the request and standard patterns, while you decide whether the build is ready to move forward.

Where you stay involved

You review the code, test results, and deployment notes, then decide whether anything still needs engineering attention before release.

Review level: Medium

2

Fix browser bugs and retest

How you could use an agent

Use an agent to gather the bug report, reproduce the browser issue, check the affected code, and draft a small fix or workaround for you to review. The agent can run the planned checks again and summarize whether the problem still appears in the target browsers or devices, while you decide if the fix is safe to ship.

Where you stay involved

You confirm the cause, review the proposed fix, and decide whether the change is ready or needs more work from engineering.

Review level: Medium

3

Update site content and verify changes

How you could use an agent

Use an agent to draft routine website content updates from your request notes, then check links, formatting, and page text against the content criteria you gave it. The agent can prepare a change log and flag pages that need a human review before publishing, while you decide what goes live.

Where you stay involved

You review the edited pages, approve the wording and layout, and handle any brand, accessibility, legal, or privacy issues before publication.

Review level: Low

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

81 / 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 capability88
Digital actionability95
End-to-end leverage90
Safety & reversibility76
Meaningful-work coverage
82%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
29 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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