Headline risk
19%
Moderate RiskMotion picture projectionists
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Set up and operate motion picture projection and related sound reproduction equipment.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 38,180
Employment 2024
2.0K
Projected Change (2024–34)
-3.7%
Openings (2024–34)
0.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Monitor operations to ensure that standards for sound and image projection quality are met. AI use: 0%
- 2. Open and close facilities according to rules and schedules. AI use: 0%
- 3. Inspect projection equipment prior to operation to ensure proper working order. AI use: 0%
- 4. Perform regular maintenance tasks, such as rotating or replacing xenon bulbs, cleaning projectors and lenses, lubricating machinery, and keeping electrical contacts clean and tight. AI use: 0%
- 5. Start projectors and open shutters to project images onto screens. AI use: 0%
- 6. Set up and adjust picture projectors and screens to achieve proper size, illumination, and focus of images, and proper volume and tone of sound. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 43.6 · 1.1M employed
Under 25: 2% · 25–54: 77% · 55+: 21%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.