AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Lighting Technicians

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

    Program lighting cues and timing

    Use an agent to load the cue sheet, show notes, and any console files you provide, then turn them into a cue list, timing notes, and a rehearsal checklist for programming the lighting console.

  2. 2

    Check lighting site safety before rigging

    Use an agent to read the location notes, floor plans, power information, and production requirements you collect before setup, then build a safety checklist and site summary for the crew.

  3. 3

    Patch lights and control channels

    Use an agent to turn the lighting plot, console patch list, cable inventory, and fixture labels into a connection map and cable checklist before you start wiring.

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O*NET-SOC 27-4015.00 · #715 of 923

Result context

How to read this result

Set up, maintain, and dismantle light fixtures, lighting control devices, and the associated lighting electrical and rigging equipment used for photography, television, film, video, and live productions. May focus or operate light fixtures, or attach color filters or other lighting accessories.

National position
#715 of 923 occupations
Top 78% of occupations
Overall AI delegation potential
Low
Potential of score-contributing workflows
Low · 52/100
Meaningful work covered
57%

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

Program lighting cues and timing

How you could use an agent

Use an agent to load the cue sheet, show notes, and any console files you provide, then turn them into a cue list, timing notes, and a rehearsal checklist for programming the lighting console. It can also compare the programmed sequence against the plan and flag spots that need your eyes before the show.

Where you stay involved

You review the cue order, make the final programming choices, run the rehearsal, and decide whether any timing or fixture changes are safe to keep.

Review level: High

2

Check lighting site safety before rigging

How you could use an agent

Use an agent to read the location notes, floor plans, power information, and production requirements you collect before setup, then build a safety checklist and site summary for the crew. It can highlight wiring, access, and placement concerns so you know what to inspect when you arrive and what to discuss with the lighting director.

Where you stay involved

You walk the site, judge whether the setup is workable, and decide what needs to be changed before rigging starts.

Review level: High

3

Patch lights and control channels

How you could use an agent

Use an agent to turn the lighting plot, console patch list, cable inventory, and fixture labels into a connection map and cable checklist before you start wiring. It can also compare the planned patching against the console channels and note anything that needs your check once the lights are connected.

Where you stay involved

You make the actual connections, confirm the channel mapping, and stop if a wiring problem or unsafe condition shows up.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Low

Underlying methodology score

47 / 100

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

Importance & frequency50
AI capability61
Digital actionability54
End-to-end leverage47
Safety & reversibility45
Meaningful-work coverage
57%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
16 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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