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?
Development cooperation officer
26%
#217 / 643
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635