Automation index
How much of a CCTV technician’s job can AI already do?
A camera plan comes earlier. Seeing the face, not the wall opposite, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
CCTV technician
23%
AI can already do 23% of this job.
#316 / 633
View rankingCCTV technician
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 |
|---|---|---|---|
Plan, FOV and the recorder.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Fit, focus and the backlight that blinds.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Network, PoE and the disk that fills.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Data-protection law, signs and the client who wants the whole street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Residents, the porter and the illegal angle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
See the face, and not recording extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- focus cameras
- FOV
- PoE
- recorders
- data-protection signs
- lawful angles
- recording disks
- camera plan
Sources for this job· O*NET 49-2098.00· ESCO/ISCO 7412
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324