Will AI replace Lighting Technicians?
AI can do 11% of the work Lighting Technicians do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 3 of them. Robots can technically handle 7 physical tasks. 6 still need a person.
AI is already doing this0 · 0% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Real AI use has not reached any of this job's tasks yet.
AI could do this next3 · 11% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Consult with lighting director or production staff to determine lighting requirements.5% of time
- Match light fixture settings, such as brightness and color, to lighting design plans.4% of time
- Visit and assess structural and electrical layout of locations before setting up lighting equipment.2% of time
Robots can technically do this7 · 51% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Load, unload, or position lighting equipment.Robots: purpose built settings12% of time
- Disassemble and store equipment after performances.Robots: purpose built settings10% of time
- Operate manual or automated systems to control lighting throughout productions.Robots: purpose built settings10% of time
- Perform minor repairs or routine maintenance on lighting equipment, such as replacing lamps or damaged color filters.Robots: purpose built settings6% of time
- Patch or wire lights to dimmers or other electronic consoles.Robots: purpose built settings5% of time
- Test lighting equipment function and desired lighting effects.Robots: purpose built settings5% of time
- Install color effects or image patterns, such as color filters, onto lighting fixtures.Robots: purpose built settings4% of time
Still needs a person6 · 39% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Set up and focus light fixtures to meet requirements of television, theater, concerts, or other productions.17% of time
- Install electrical cables or wire fixtures.10% of time
- Program lighting consoles or load automated lighting control systems onto consoles.6% of time
- Assess safety of wiring or equipment set-up to determine the risk of fire or electrical shock.2% of time
- Set up scaffolding or cranes to assist with setting up of lighting equipment.2% of time
- Notify supervisors when major lighting equipment repairs are needed.1% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
Little of this work suits AI. The bigger change here is robots: today's robots can technically do 54% of the working time, though they are rarely cheap enough to replace people yet.
What to do next
- Get ahead on the 3 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 7 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 6 tasks that stay human. This is where your judgment, skill and relationships matter most.
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