Will AI replace Motion Picture Projectionists?
AI reaches little of this job’s work.
11/100
Low exposure
More exposed to AI than 21% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 22% of the work
What the job involves
Set up and operate motion picture projection and related sound reproduction equipment.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Monitor operations to ensure that standards for sound and image projection quality are met.
- Open and close facilities according to rules and schedules.
- Prepare film inspection reports, attendance sheets, and log books.
Out of reach(14)
- Inspect projection equipment prior to operation to ensure proper working order.
- Perform regular maintenance tasks, such as rotating or replacing xenon bulbs, cleaning projectors and lenses, lubricating machinery, and keeping electrical contacts clean and tight.
- Start projectors and open shutters to project images onto screens.
- Set up and adjust picture projectors and screens to achieve proper size, illumination, and focus of images, and proper volume and tone of sound.
- Clean the projection booth.
and 9 more
Also called
Projectionist · Motion Picture Projectionist · Booth Operator · Movie Projectionist · Projector Booth Operator · Cinema Operator · Cinematographer · Film Projector Operator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics