Automation index
How much of a Camera operator’s job can AI already do?
A schedule and an overlay come earlier. The shot you have to nail does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Camera operator
18%
AI can already do 18% of this job.
#636 / 713
View rankingCamera operator
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Schedule, lists and overlays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Frame, follow and not lose focus.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Kit, cards and backups.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Director, light and sound.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Knees, shoulder and long days.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not wiping a full card.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Schedule, lists and overlays
- Frame, follow and not lose focus
- Kit, cards and backups
- Director, light and sound
- Knees, shoulder and long days
- Not wiping a full card
- camara
- operador de camara
- camera operator
Sources for this job· O*NET 27-4031.00· ESCO/ISCO 3521
IS WORK OVER?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351