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.
#666 / 743
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?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.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
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141