IS WORK OVER?

Automation index

How much of a Crime scene technician’s job can AI already do?

A trace protocol comes earlier. Not contaminating the scene so it holds up in court do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Crime scene 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
Inspection, photos and the scene sketch.
Estimate

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

16%36%+5.8
Collect traces, prints and the DNA that gets walked on.
Estimate

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

18%12%+2.2
Chain of custody, labels and the lab.
Estimate

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

16%32%+5.1
Report, reconstruction and the file.
Estimate

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

16%28%+4.5
The dirty scene, the rush and the one who enters ungloved.
Estimate

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

18%18%+3.2
That it holds in court, and not breaking the chain.
Estimate

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

16%14%+2.2
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • collect traces
  • fingerprints
  • chain of custody
  • photograph scenes
  • forensic DNA
  • scene sketch
  • police lab
  • not contaminate

Sources for this job· O*NET 19-4092.00· ESCO/ISCO 3119

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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