Arts, Design, Entertainment, Sports, and Media · United States (national)
Lighting Technicians
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 21.4
Physical / roboticsrange 0.0 to 12.0
When the change is likely
Largely unaffectedlocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Assess safety of wiring or equipment set-up to determine the risk of fire or electrical shock.
100.0
Consult with lighting director or production staff to determine lighting requirements.
100.0
Disassemble and store equipment after performances.
0.0
Install color effects or image patterns, such as color filters, onto lighting fixtures.
0.0
Install electrical cables or wire fixtures.
0.0
Load, unload, or position lighting equipment.
0.0
Match light fixture settings, such as brightness and color, to lighting design plans.
50.0
Notify supervisors when major lighting equipment repairs are needed.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Assess safety of wiring or equipment set-up to determine the risk of fire or electrical shock.
Task: Consult with lighting director or production staff to determine lighting requirements.
How this score is calculated
Map Lighting Technicians to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 9.4, robotics 0.0.
The timeline comes from the higher axis (9.4), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.