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.
#566 / 643
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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421