IS WORK OVER?

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

CCTV 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.

TaskShareAIPoints
Plan, FOV and the recorder.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Fit, focus and the backlight that blinds.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Network, PoE and the disk that fills.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Residents, the porter and the illegal angle.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
See the face, and not recording extra.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Mobile 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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
CI, tests and the week's release.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

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