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 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514