IS WORK OVER?

Automation index

How much of a Forensic scientist’s job can AI already do?

A lab protocol comes earlier. A result that holds in court without contaminating do not.

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

Task comparison

Forensic scientist

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
Protocol, chain and the sample.
Estimate

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

16%40%+6.4
Analyse, the blank and the one that contaminates.
Estimate

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

18%14%+2.5
Report, the link and not jumping.
Estimate

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

16%28%+4.5
Court, the lawyer and holding.
Estimate

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

16%22%+3.5
Police haste and not skipping the blank.
Estimate

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

18%18%+3.2
Hold in court, and not contaminating.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • chain of custody
  • blanks
  • forensic samples
  • the link
  • the hearing
  • lab protocols
  • expert reports
  • contamination

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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%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

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