AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Architects, Except Landscape and Naval

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

    Draft schematic designs from client needs

    Use an agent to collect the client’s room, use, and space needs, turn them into a first-pass layout, and draft CAD sheets or simple 3D views based on the project notes.

  2. 2

    Assemble contract documents and check consistency

    Use an agent to gather the approved drawings, specs, scope notes, and material schedules into one contract package and check that the sheets and written requirements match each other.

  3. 3

    Revise client presentations and track changes

    Use an agent to capture client comments from meetings, update the presentation drawings and renderings, and keep a running list of open items with dates.

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O*NET-SOC 17-1011.00 · #203 of 923

Result context

How to read this result

Plan and design structures, such as private residences, office buildings, theaters, factories, and other structural property.

National position
#203 of 923 occupations
Top 22% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 76/100
Meaningful work covered
62%

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

Draft schematic designs from client needs

How you could use an agent

Use an agent to collect the client’s room, use, and space needs, turn them into a first-pass layout, and draft CAD sheets or simple 3D views based on the project notes. It gives you a schematic package you can review against site, safety, and code constraints before you refine it.

Where you stay involved

You decide what belongs in the design, check the draft against the site and code, and make the final architectural calls with the client and consultants.

Review level: High

2

Assemble contract documents and check consistency

How you could use an agent

Use an agent to gather the approved drawings, specs, scope notes, and material schedules into one contract package and check that the sheets and written requirements match each other. It gives you a clean set ready for your review before it goes to contractors.

Where you stay involved

You review the package, confirm nothing important is missing or inconsistent, and decide when it is ready for issue.

Review level: High

3

Revise client presentations and track changes

How you could use an agent

Use an agent to capture client comments from meetings, update the presentation drawings and renderings, and keep a running list of open items with dates. It gives you a revised client set that reflects the latest feedback so you can discuss the changes in the next review.

Where you stay involved

You decide which changes fit the design, update the presentation, and handle any request that affects code, scope, or approvals yourself.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

71 / 100

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

Importance & frequency82
AI capability83
Digital actionability87
End-to-end leverage69
Safety & reversibility61
Meaningful-work coverage
62%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
25 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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