Will AI replace Lighting Technicians?
Estimated risk score: 22 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (3 to 41).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-4015.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 16 rated tasks. In O*NET’s words.
- Program lighting consoles or load automated lighting control systems onto consoles.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 12 of its 16 rated tasks; the first 6 are shown. In O*NET’s words.
- Disassemble and store equipment after performances.
- Install color effects or image patterns, such as color filters, onto lighting fixtures.
- Install electrical cables or wire fixtures.
- Load, unload, or position lighting equipment.
- Patch or wire lights to dimmers or other electronic consoles.
- Perform minor repairs or routine maintenance on lighting equipment, such as replacing lamps or damaged color filters.
What the job is
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.
Also called: ELT, RELT, Light Tech, Lamp Operator, Lighting Tech, Lighting Operator, Set Lighting Tech, Spotlight Operator.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate