AI Delegation Index

What work could you hand off to an AI agent?

Explosives Workers, Ordnance Handling Experts, and Blasters

Low

AI agents have a narrow supporting role here, mainly helping with preparation or documentation rather than doing the physical work.

Where agents can help most

  1. 1

    Clear blast area and confirm safety

    Use an agent to turn your blast-area notes and crew list into a clear pre-blast checklist showing cones placed, people cleared, and communication steps completed.

  2. 2

    Prepare daily job and shift logs

    Use an agent to turn the notes, forms, readings, and completion details you provide into a clear daily job and shift log.

  3. 3

    Track equipment inspection and maintenance records

    Use an agent to turn the notes, forms, readings, and completion details you provide into a clear equipment inspection and maintenance record.

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O*NET-SOC 47-5032.00 · #773 of 923

Result context

How to read this result

Place and detonate explosives to demolish structures or to loosen, remove, or displace earth, rock, or other materials. May perform specialized handling, storage, and accounting procedures.

National position
#773 of 923 occupations
Top 84% of occupations
Overall AI delegation potential
Low
Potential of score-contributing workflows
Low · 40/100
Meaningful work covered
4%

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

Clear blast area and confirm safety

How you could use an agent

Use an agent to turn your blast-area notes and crew list into a clear pre-blast checklist showing cones placed, people cleared, and communication steps completed. It can also produce a short status sheet you can review before anything moves toward detonation.

Where you stay involved

You mark the danger zone, check that workers and equipment are out of the area, and decide whether the site is actually ready. You stop the job if anyone or anything is still in range of the blast.

Review level: High

2

Prepare daily job and shift logs

Documentation support · not included in the score

How you could use an agent

Use an agent to turn the notes, forms, readings, and completion details you provide into a clear daily job and shift log. It can organize the entries, check required fields, and flag gaps before you submit or store the record.

Where you stay involved

You perform the hands-on or in-person work, confirm that the source details are accurate, and approve the final record before it is used.

Review level: Medium

3

Track equipment inspection and maintenance records

Documentation support · not included in the score

How you could use an agent

Use an agent to turn the notes, forms, readings, and completion details you provide into a clear equipment inspection and maintenance record. It can organize the entries, check required fields, and flag gaps before you submit or store the record.

Where you stay involved

You perform the hands-on or in-person work, confirm that the source details are accurate, and approve the final record before it is used.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Low

Underlying methodology score

32 / 100

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

Importance & frequency67
AI capability48
Digital actionability38
End-to-end leverage26
Safety & reversibility22
Meaningful-work coverage
4%
Physical-work modifier
Moderate
Safety modifier
Material
Qualitative judgment
No material constraint
O*NET task evidence
27 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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