IS WORK OVER?

Automation index

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

Searching records and a report come earlier. Following someone, believing a witness, and not burning the case do not.

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

Task comparison

Detective

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
Search records, cameras and files.
Estimate

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

20%42%+8.4
Reports, timelines and court requests.
Estimate

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

16%35%+5.6
Surveillance, interviews and the scene.
Estimate

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

18%12%+2.2
Weigh a witness and a false lead.
Estimate

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

16%10%+1.6
Coordinate with prosecutors and units.
Estimate

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

16%14%+2.2
Decide the next step and keep the file closed.
Estimate

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

14%16%+2.2
Total100%22%

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

Skills and activities

  • police report
  • patrol
  • identify a person
  • Search records, cameras and files
  • Reports, timelines and court requests
  • Surveillance, interviews and the scene
  • Weigh a witness and a false lead
  • Coordinate with prosecutors and units
  • detective
  • investigador privado

Sources for this job· O*NET 33-3021.00· ESCO/ISCO 5412

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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